Course Description
General Education (Language, Arts, Humanities, Social Sciences, Business
And Others)
ENG 101 English Fundamentals
A. Course General Information:
Course Code:
ENG101
Course Title:
English Fundamentals
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
GED
Type:
Required, Language/Writing, Lecture
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
The English Fundamentals (ENG 101) course covers all four skills of English
language required for students’ basic academic and professional needs. Classroom
tasks aim at promoting specific language skills (e.g. analyzing reading texts, writing
academic papers, delivering PowerPoint presentations, etc.). The core objectives are
integrated through different lessons. Speaking classes help students improve their
Communication Skills. The Reading & Writing classes have a good number of
selected reading materials covering a wide range of topics to help students develop
Global Thinking and basic Quantitative Skills. Two different types of essays Argumentative Essay and Response Essay, and presentations such as, Poster
presentation, Advertisement Presentation, Debate on Climate Change, and
Argumentative Presentation, aim at improving Critical Thinking in students.
C. Course Outcomes:
Upon Successful completion of the course, students will be able to:
●​ Apply reading skills such as skimming and scanning
●​ Enhance vocabulary stock (from reading materials and discussion) and
analyze their contextual meanings
●​ Comprehend and analyze critically on selected topics and express opinions
with proper examples and evidence in both writing and speaking tasks
●​ Write well-organized academic essays maintaining coherence and unity
●​ Prepare and deliver formal speeches individually or in group by maintaining
appropriate art of speaking with correct pronunciation, pitch, stress,
intonation, etc
●​ Demonstrate improvement in group effectiveness: sharing the floor, sharing
tasks, acknowledging the contributions of others, giving and receiving
constructive feedback
D. Suggested Text and Reference Book:
●​ Richards, "Fundamentals of English"
ENG 102 English Composition
A. Course General Information:
Course Code:
ENG102
Course Title:
English Composition
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
GED
Type:
Required, Language/Writing, Lecture
Prerequisites:
ENG102 English Fundamentals
Co-requisites:
None
B. Course Catalog Description (Content):
The main focus of this course is writing. The course attempts to enhance students’
writing abilities through diverse writing skills and techniques. Students will be
introduced to aspects of expository writing: personalized/ subjective and
analytical/persuasive. In the first category, students will write essays expressing their
subjective viewpoints. In the second category students will analyze issues
objectively, sticking firmly to factual details. This course seeks also to develop
students’ analytical abilities so that they are able to produce works that are critical
and thought provoking.
C. Course Outcomes:
It is expected that after completing this course, students will be able to:
●​ Exercise academic reading skills in distinguishing styles with respect to
formality, abstraction, word choice and multiple perspectives
●​ Evaluate articles about social issues using Critical Reading Skills
●​ Gain first-hand knowledge of research methods
●​ Investigate and present a problem based project
Use effective communicative strategies and skills (both in spoken and written form)
in different contexts
D. Suggested Text and Reference Book:
●​ Steinbeck, "The Pearl", 1st ed., Penguin Books, 2000.
●​ Thomas Cruisius and Carolyn Channell, "Aims of Argument", 3rd edition,
Mayfield Publishing Company, 2000.
●​ Betty Mattix Dietsch, "Reasoning & Writing Well", McGraw-Hill, 2003.
BNG 103 Bangla Language and Literature
A. Course General Information:
Course Code:
BNG103
Course Title:
Bangla Language andLiterature
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
GED
Type:
Required, Language/Arts and Humanities,
Lecture
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
C. Suggested Text and Reference Book:
HUM 103 Ethics and Culture
A. Course General Information:
Course Code:
HUM103
Course Title:
Ethics and Culture
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
GED
Type:
Required, Arts and Humanities, Lecture
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
This course introduces the students to principles and concepts of ethics and their
application to our personal life. It establishes a basic understanding of social
responsibility, relationship with social and cultural aspects, and eventually requires
each student to develop a framework for making ethical decision in his work.
Students learn a systematic approach to moral reasoning. It focuses on problems
associated with moral conflicts, justice, the relationship between rightness and
goodness, objective vs. subjective, moral judgment, moral truth and relativism. It also
examines personal ethical perspectives as well as social cultural norms and values
in relation to their use in our society. Topics include: truth telling and fairness,
objectivity vs. subjectivity, privacy, confidentiality, bias, economic pressures and
social responsibility, controversial and morally offensive content, exploitation,
manipulation, special considerations (i.e. juveniles, courts) and professional and
ethical work issues and decisions. On conclusion of the course, the students will be
able to identify and discuss professional and ethical concerns, use moral reasoning
skills to examine, analyze and resolve ethical dilemmas and distinguish differences
and similarities among legal, ethical and moral perspectives.
C. Suggested Text and Reference Book:
●​ Ingram and J. A. Parks, "Understanding Ethics", Alpha, 2002.
●​ John R. Boatright, "Ethics and the Conduct of Business", 4th edition, Pearson
Education, New Delhi, 2003.
●​ Manuel G. Velasquez, "Business Ethics: Concepts and Cases", 5th Edition,
Pearson Education, New Delhi, 2002.
●​ William Lillie, "An Introduction to Ethics", 3rd Edition, Methuen & Co. Ltd.
London, 1964. 4. Donald C. Abel, "Fifty Readings in Philosophy", 2nd Edition,
McGraw-Hill, New York, 2004.
●​ Nigel Warburton, "Philosophy Basics", 3rd Edition, Routledge, 1999.
●​ Peter Singer, "Practical Ethics", 2nd Edition, The Press Syndicate of the
University of Cambridge, 2000.
EMB 101 Emergence of Bangladesh
A. Course General Information:
Course Code:
EMB101
Course Title:
Emergence of Bangladesh
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
GED
Type:
Required, Social Sciences, Lecture
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
The Emergence of Bangladesh course has been designed for students to
understand their historic and cultural roots as citizens of this land. It documents the
struggles against colonial oppression, political and ethnic subordination, cultural
domination and economic exploitation over the last two centuries that have
eventually given rise to our independent country. The course traces the history of
Bengal from the British conquest through treachery and military might, the pillage
and plunder they carried out, the de-industrialization and impoverishment that
resulted from their policies, to the active political struggles (both armed and
non-violent) for freedom and independence, the development of a national
consciousness, the false hopes of Pakistan, the struggles against the oppression of
the military-bureaucratic state of Pakistan to finally the genocide we faced and
subsequently our victory as an independent Bangladesh.
C. Course Objectives
The course intends to equip students with factual knowledge and analytical skills to
learn and critically appreciate the antecedents of the history, politics, and economy of
Bangladesh. The course seeks to assist students in using such analytical knowledge
of their historical roots to better understand and relate to people‟s struggles in
different countries and contexts to build more democratic, inclusive, multi-cultural
societies that pursue social, ecological and gender justice. Students will also be
encouraged to reflect on the principles of democracy, economic justice, secularism
and respect for ethnic differences that united us to struggle for a free country and
relate such principles to formulating their own vision for the future.
D. Course Outcomes:
On successful completion of the course, students are expected to be able to:
●​ Describe specific stages of Bangladesh‟s political history, through the British
colonial period and the Pakistan period till the emergence of Bangladesh.
●​ Identify the major struggles for economic and political freedom during the
British and Pakistan periods. Understand the economic exploitation and the
extraction of surplus by both the British and the Pakistan state as well as the
oppression of the zamindars.
●​ Analyze how the capitalist development model pursued by Pakistan created
the income and regional inequalities that led to its own destruction.
●​ Understand our War of Independence both in terms of the genocide that
Pakistan committed as well as the political and armed struggles we engaged
in.
●​ Articulate how the four principles of the Bangladesh constitution – socialism,
democracy, secularism and nationalism – provides the basis for envisioning a
future Bangladesh.
Mathematics And Sciences
MAT 110 Mathematics I Differential Calculus and Co-ordinate Geometry
A. Course General Information:
Course Code:
MAT110
Course Title:
Mathematics I Differential Calculus and Co-ordinate
Geometry
Credit Hours (Theory + Laboratory):
3+0
Contact Hours (Theory + Laboratory):
3+0
Category:
School Core/GED
Type:
Required, Mathematics and Science, Lecture
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
Differential Calculus: Limits. Continuity and differentiability. Successive differentiation
of various types of functions. Leibniz's Theorem. Rolle's theorem. Mean Value
theorem. Taylor's theorem in finite and infinite forms. Maclaurin's theorem in finite
and infinite forms. Lagrange's form of remainders. Expansion of functions. Evaluation
of indeterminate forms by L'Hôpitals rule. Partial differentiation. Euler's theorem.
Tangent and normal. Subtangent and subnormal in Cartesian and polar coordinates.
Determination of maximum and minimum values of functions and points of inflexion.
Application. Curvature. Radius of curvature. Centre of curvature.​
​
Coordinate Geometry: Change of axes. Transformation of coordinates. Simplification
of equation of curves. Pair of straight lines. Conditions under which general
equations of the second degree may represent a pair of straight lines. Homogeneous
equations of the second degree. Angle between the pair of lines. Pair of lines joining
the origin to the point of intersection of two given curves. System of circles;
orthogonal circles. Radical axes, radical centre, properties of radical axes, coaxial
circles and limiting points. Equations of ellipse and hyperbola in Cartesian and polar
coordinates. Tangent and normal. Pair of tangent. Chord of contact. Chord in terms
of its middle points, parametric coordinates. Diameters. Conjugate diameters and
their properties. Director circles and asymptotes.
C. Course Objectives and Outcomes:
●​ To find the rate at which one quantity changes relative to another.
●​ To understand the concept of limits, continuity, differentiability and
optimization.
●​ To learn some of the important theorems with applications.
●​ To provide students with a good understanding of the concepts of two
dimensional geometry
D. Suggested Text and Reference Book:
●​ A Text Book on Coordinate geometry and Vector Analysis by Kosh
Mohammad.
●​ L. Loney, "The Elements of Coordinate Geometry", Nelson Thornes
●​ Anton, H. Bivens, I. Davis, S. Calculus 10th edition, John Wiley and Sons Inc.,
2012.
●​ Stewart, J. Calculus 8th edition, Cengage Learning, 2016.
MAT 120 Mathematics II Integral Calculus and Differential Equations
A. Course General Information:
Course Code:
MAT120
Course Title:
Mathematics II Integral Calculus and
Differential Equations
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
School Core
Type:
Required, Mathematics and Science, Lecture
Prerequisites:
MAT 110 Mathematics I
Co-requisites:
None
B. Course Catalog Description (Content):
Integral Calculus: Definitions of integration. Integration by the method of substitution.
Integration by parts. Standard integrals. Integration by method of successive
reduction. Definite integrals, its properties and use in summing series. Walli's
formula. Improper integrals. Beta function and Gamma function. Area under a plane
curve in cartesian and polar coordinates. Area of the region enclosed by two curves
in cartesian and polar coordinates. Trapezoidal rule. Simpson's rule. Arc lengths of
curves in cartesian and polar coordinates, parametric and pedal equations. Intrinsic
equations. Volumes of solids of revolution. Volume of hollow solids of revolutions by
shell method. Area of surface of revolution.
Ordinary Differential Equations: Degree of order of ordinary differential equations.
Formation of differential equations. Solution of first order differential equations by
various methods. Solutions of general linear equations of second and higher order
with constant coefficients. Solution of homogeneous linear equations. Applications.
Solution of differential equations of the higher order when the dependent and
independent variables are absent. Solution of differential equations by the method
based on the factorization of the operators.
C. Course Objectives and Outcomes:
●​ To know how to calculate antiderivatives and to understand the relation
between derivatives and antiderivatives.
●​ To learn the applications of Integral Calculus for single variable.
●​ To provide a platform in obtaining necessary basic information regarding
ordinary differential equations.
●​ To understand the classifications of ordinary differential equations, several
methods and techniques to solve these equations.
D. Suggested Text and Reference Book:
●​ Anton, H. Bivens, I. Davis, S. Calculus 10th edition, John Wiley and Sons Inc.,
2012.
●​ Zill, D.G. A First Course in Differential Equations with Modeling Applications,
9th ed. Brooks/Cole, Cengage Learning, 2009.
●​ Don, Mathematica, Second Edition, McGraw-Hill, 2009 (For Practical)
MAT 215 Mathematics III Complex Variables and Laplace Transformations
A. Course General Information:
Course Code:
MAT215
Course Title:
Mathematics III Complex Variables and Laplace
Transformations
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
School Core
Type:
Required, Mathematics and Science, Lecture
Prerequisites:
MAT 120 Mathematics II
Co-requisites:
None
B. Course Catalog Description (Content):
Complex Variables: Complex number systems. General functions of a complex
variable. Limits and continuity of a function of complex variables and related
theorems. Complex differentiation and Cauchy–Riemann equations. Mapping by
elementary functions. Line integral of a complex function. Cauchy's theorem.
Cauchy's integral formula. Liouville's theorem. Taylor's and Laurent's theorem.
Singular points. Residue. Cauchy's residue theorem. Evaluation of residues. Contour
integration. And conformal mapping.
Laplace Transformations: Definition. Laplace transformations of some elementary
functions. Sufficient conditions for existence of Laplace transforms. Inverse Laplace
transforms. Laplace transforms of derivatives. The unit step function. Periodic
function. Some special theorems on Laplace transforms. Partial fractions. Solutions
of differential equations by Laplace transforms. Evaluation of improper integrals.
C. Course Objectives and Outcomes:
• To know about complex number system in details.​
• To introduce with the basic theorems and their applications in engineering
problems.​
• To learn Laplace and Inverse Laplace transforms with their applications in solving
higher order ordinary differential equations.
D. Suggested Text and Reference Book:
• BROWN, J.W., CHURCHILL, R.V. COMPLEX VARIABLES AND APPLICATIONS,
8TH ED. MCGRAW-HILL, 2009.​
• ZILL, D.G. A FIRST COURSE IN DIFFERENTIAL EQUATIONS WITH MODELING
APPLICATIONS, 9TH ED. BROOKS/COLE, CENGAGE LEARNING, 2009.​
• KREYSZIG, E. ADVANCED ENGINEERING MATHEMATICS, 10TH ED. JOHN
WILEY & SONS INC., 2011.
MAT 216 Mathematics IV Linear Algebra and Fourier Analysis
A. Course General Information:
Course Code:
MAT216
Course Title:
Mathematics IV Linear Algebra and Fourier
Analysis
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
School Core
Type:
Required, Mathematics and Science, Lecture
Prerequisites:
MAT 215 Mathematics III
Co-requisites:
None
B. Course Catalog Description (Content):
Linear Algebra: Matrices. Algebra of matrices. Adjoint and inverse of a matrix.
Elementary transformations of matrices. Rank and Nullity. Normal and canonical
forms. Solution of linear equations. Vector spaces, Linear dependence, and
independence of vectors. Definition of line, surface and volume integrals. Gradient,
divergence and curl of point functions. Various formulae. Gauss's theorem, Stroke's
theorem, Green's theorem.
Fourier Analysis: Real and complex form. Finite transform. Fourier integral. Fourier
transforms and their uses in solving boundary value problems.
C. Course Objectives and Outcomes:
●​ To provide students with a good understanding of the concepts and methods
of linear algebra.
●​ To learn about matrices, determinant, vector spaces and linear
transformations with applications.
●​ To understand the theories and applications of Integral Calculus for
multivariable and Vector Calculus.
●​ To know the basic concepts of Fourier series, Fourier integral and Fourier
transforms with applications.
D. Suggested Text and Reference Book:
●​ Anton, H., Rorres, C. Elementary Linear Algebra, Applications Version 11th
ed. Wiley 2013
●​ Kreyszig, E. Advanced Engineering Mathematics, 10th ed. John Wiley & Sons
Inc., 2011.
●​ Brown, J.W., Churchill, R.V. Fourier Series and Boundary Value Problems, 7th
ed. McGraw-Hill, 2008.
●​ Spiegel, M.R. Schaum's Outline of Theory and Problems of Fourier Analysis
with Applications to Boundary Value Problems, McGraw-Hill Inc., 1974.
STA 201 Elements of Statistics and Probability
A. Course General Information:
Course Code:
STA201
Course Title:
Elements of Statistics and Probability
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
School Core/GED
Type:
Required, Mathematics and Science, Lecture
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
Introduction to Statistics & Representation of Data. Central Tendency & Measures of
Dispersion: Mean (Arithmetic, Geometric, Harmonic, Weighted), Median, Mode,
Quartiles. Range, Deviation (Quartile, Mean, Standard), Variance, Coefficient of
Variation, Skewness, Kurtosis. Correlation & Regression: Correlation, Scatter
Diagram, Correlation Coefficient with interpretation. Regression Analysis, Linear
Regression Model, Estimation of Parameters, Least Square Regression. Set Theory
& Basics of Probability, Bayes' Theorem. Set theory concepts, Relation of set theory
with probability, Probability basics (addition, multiplication, simultaneous incidents,
dependent/independent incidents etc). Conditional probability
(dependent/independent cases), Bayes’ theorem (with application examples).
Random Variables, Joint Probability, Marginalization, Expectation of Random
Variables. Random variable basics, Product rule of random variables, Joint
probability, Basics of marginalization of probability. More on joint distribution
(marginalization and other stuff), Basics of conditioning on random variables,
Expectation of random variables, Linearity of expectations. Probability Distributions:
Discrete Probability distribution basics (Binomial, Poisson, Geometric) with proper
graphs. Continuous Probability distribution basics (Normal, Exponential) with proper
graphs. Basic ideas of Hypothesis testing and Different kinds of testing. Shannon
Entropy & Marginalization of 2 or more Random Variables. Shannon information
content, Shannon Entropy. Information divergence, Marginalization of random
variables. Conditioning on Random Variables, Bayes' Rule for Random Variables,
Conditional Independence. More on conditioning on random variables, Bayes' rule
for random variables. Conditional independence, Mutual vs Pairwise independence.
Decision Making: Intro to decision making, Maximum Likelihood . Medical Diagnosis
Risk. Maximum A Posteriori (MAP) Estimation. Introduction to Different Models: Intro
to Hidden Markov Model, Introduction to Naive Bayes Model. Sampling and Review
of the Course.
C. Course Objectives and Outcomes
The main objective of the course is to make familiar with the basic concepts of
statistics and its applications for life science and engineering students. Attempts will
be made to provide a clear, concise understanding of the fundamental features and
methods of statistics along with relevant interpretations and applications for
conducting quantitative analyses. This course will help students to develop skills in
thinking and analyzing a wide range of problem in the field of life science and
engineering from a probabilistic and statistical point of view.
At the end of this course, students will be able to:
●​ Develop fundamental concepts of probability and statistics commonly used in
life sciences, engineering and other fields.
●​ Evaluate various quantities for probability distributions and random variables.
●​ Perform statistical computations & interpret the outcomes effectively.
●​ Develop probabilistic and statistical models for some applications, and a
Statistical method to a range of problems in life sciences, engineering and
other fields.
●​ Comprehend the theoretical foundations that leads to choosing the
appropriate analysis (i.e. hypothesis testing).
​
D. Suggested Text and Reference Book:
●​ Applied Statistics for Engineers and Scientists, 3rd edition, Devore J. Farnum
N., Duxbury.
●​ Probability and Statistics in Engineering, 4th edition, William W. Hines,
Douglas C. Montgomery, David M. Goldsman and Connie M. Borror, Wiley.
●​ A First Course in Probability, 9th edition, Sheldon M. Ross (2018).
●​ Probability and Random Processes, 3rd edition, G. R. Grimmett and D. R.
Stirzaker,Oxford University Press (2001)
●​ Probability and Statistical Inference, 9th edition, R. V. Hogg and E. A. Tanis
Prentice Hall, (2007)
●​ Foundations of Biostatistics, 1st edition. Springer, New York. M. Ataharul
Islam, Abdullah Al-Sinha (2018).
●​ An Introduction to Statistics and Probability, 4th edition, M. Nurul Islam (2017).
●​ Fundamentals of Probability & Probability Distributions, 4th edition, Manindra
Kumar Roy (2014).
PHY 111 Principles of Physics I
A. Course General Information:
Course Code:
PHY111
Course Title:
Principles of Physics I
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
School Core/GED
Type:
Required, Mathematics and Science, Lecture +
Laboratory
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
Vectors and scalars, unit vector, scalar and vector products, static equilibrium,
Newton's Laws of motion, principles of conservation of linear momentum and energy,
friction, elastic and inelastic collisions, projectile motion, uniform circular motion,
centripetal force, simple harmonic motion, rotation of rigid bodies, angular
momentum, torque, moment of inertia and examples, Newton's Law of gravitation,
gravitational field, potential and potential energy. Structure of matter, stresses and
strains, Modulii of elasticity Poisson's ratio, relations between elastic constants, work
done in deforming a body, bending of beams, fluid motion and viscosity, Bernoulli's
Theorem, Stokes' Law, surface tension and surface energy, pressure across a liquid
surface, capillarity. Temperature and Zeroth Law of thermodynamics, temperature
scales, their propagation, differential equation of wave motion, stationary waves,
vibration in strings isotherms, heat capacity and specific heat, Newton's Law of
cooling, thermal expansion, First Law of thermodynamics, change of state, Second
Law of thermodynamics, Carnot cycle, efficiency, kinetic theory of gases, heat
transfer. Waves & & columns, sound wave & its velocity, Doppler effect, beats,
intensity & loudness, ultrasonics and its practical applications. Huygens' principle,
electromagnetic waves, velocity of light, reflection, refraction, lenses, interference,
diffraction, polarization..
C. Course Objectives and Outcomes:
By the end of this course, the students will be able to:
●​ Describe and explain the introductory mechanics principles.
●​ Apply these principles together with logical reasoning to real life situations.
●​ Analyze and solve problems with the aids of mathematics.
●​ Acquire and interpret experimental data to examine the mechanical laws
D. Suggested Text and Reference Book:
• Fundamentals of Physics. Author: Halliday, Resnick & Walker (10th Edition,
Extended).​
• University Physics by F. W. Sears, M. W. Zemansky and H. D. Young.
PHY 112 Principles of Physics II
A. Course General Information:
Course Code:
PHY112
Course Title:
Principles of Physics II
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
School Core
Type:
Required, Mathematics and Science, Lecture +
Laboratory
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
Electric charge, Coulomb's Law, electric field & flux density, Gauss's Law, electric
potential, capacitors, steady current, Ohm's law, Kirchhoff's Laws. Magnetic field,
Biot-Savart Law, Ampere's Law, electromagnetic induction, Faraday's Law, Lenz's
Law, self inductance and mutual inductance, alternating current, magnetic properties
of matter, diamagnetism, paramagnetism and ferromagnetism. Maxwell's equations
of electromagnetic waves, transmission along wave-guides. Special theory of
relativity, length contraction and time dilation, mass-energy relation. Quantum theory,
Photoelectric effect, x-rays, Compton effect, dual nature of matter and radiation,
Heisenberg uncertainty principle. Atomic model, Bohr's postulates, electron orbits
and electron energy, Rutherford nuclear model, isotopes, isobars and isotones,
radioactive decay, half-life, alpha, beta and gamma rays, nuclear binding energy,
fission and fusion. Fundamentals of solid state physics, lasers, holography.
C. Course Objectives and Outcomes:
By the end of this course, the students will be able to:
●​ Describe and explain the introductory electricity and magnetism principles i.e.
Coulomb's law, Gauss's law, Biot-Savart and Ampere's laws
●​ Understand the basic concepts of special theory of relativity, atomic model,
nuclear and solid state physics
●​ Apply these principles, together with logical reasoning to real life situations
●​ Analyze and solve problems with the aids of mathematics
●​ Acquire and interpret experimental data to examine the laws of electricity and
magnetism.
D. Suggested Text and Reference Book:
• Principles of Physics. Author: Halliday, Resnick & Walker (10thedition,
International). (Any edition is sufficient. However, the topics may have different
section numbers depending on the edition).​
• Concepts of Modern Physics by Arthur Beiser.​
• Beiser, "Perspectives of Modern Physics", McGraw-Hill, 6th ed., 2002.
CHE 110 Principles of Chemistry
A. Course General Information:
Course Code:
CHE110
Course Title:
Principles of Chemistry
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
Laboratory):
3+3
Category:
School Core/GED
Type:
Required, Mathematics and Science, Lecture +
Laboratory
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
Nature of Atoms: Structure of atoms, Dalton’s postulates, J.J. Thompson’s atomic
mode, Rutherford’s atomic model, Bohr’s atomic model, Max Planck’s theory of
quantum, spectra of hydrogen atom, quantum numbers, concept of orbit and orbital,
electronic configuration, Aufbau principle, Pauli’s exclusion principle, Hund’s
principle, isotope, isotones, isobars, periodic table, periodic nature of elements etc.
Radio Activity: Radioactive elements, nuclear fission, chain reaction, decay Law,
α,β,γ ray and their properties, mean life and half-life. Chemical Reaction: types of
chemical bonding, chemical reaction classifications, thermochemistry, oxidation
reduction, acid and bases, reaction equilibrium, chemical kinetics etc. Gas Law: Ideal
gas, Real gas, Charle’s law, Boyel’s Law, ideal gas combined law, kinetic theory of
gasses and related mathematical problems. Environmental Chemistry: Environments
and its chemistry, environmental Pollution and Its sources, types of environmental
pollution and their effects, Atmospheric Chemistry, Aerosols, influence of CFC gases,
creation of ozone hole, green house effects etc. Colligative properties: introduction to
colligative properties, dilute solution, types of solution, depression of freezing point.
Lowering of vapor pressure, elevation of boiling point, Roult’s law, osmotic pressure.
C. Course Objectives and Outcomes:
At the end of this course, students will be able to:
●​ Understand and be able to explain the general principles, laws and theories of
chemistry that are discussed and presented throughout the semester.
●​ Analyze the importance of intra- and intermolecular attraction to predict trends
in physical properties.
●​ Identify characteristics of acids, bases and salts and solve problems
based on their quantitative relationships.
●​ Identify and balance oxidation – reduction reaction.
●​ Apply quantitative skill to determine the rate of reaction and its dependence
on different factors.
●​ Develop an awareness of the value of chemistry in our daily life.
D. Suggested Text and Reference Book:
●​ Ebbing, D. and Gammon, S.D., 2016. General chemistry. Cengage Learning.
●​ Silberberg, M., 2012. Principles of general chemistry. McGraw-Hill Education.
●​ Haider, S.Z., 2000. Introduction to modern inorganic chemistry.
●​ Tuli, G.D. and Bahl, B.S., 2010. Essentials of Physical Chemistry. S Chand &
Co Ltd.
●​ Sharma, K.K. and Sharma, L.K., 2016. A textbook of physical chemistry. Vikas
Publishing House.
●​ Adamson, A., 2012. A textbook of physical chemistry. Elsevier.
●​ Shoemaker, D.P., Garland, C.W., Nibler, J.W. and Feigerle, C.S., 1996.
Experiments in physical chemistry (Vol. 378). New York: McGraw-Hill.
●​ Mosher, M., 1992. Organic Chemistry. (Morrison, Robert Thornton; Boyd,
Robert Neilson).
●​ Rabinovich, D., 2000. Advanced Inorganic Chemistry, (Cotton, FA; Wilkinson,
G.; Murillo, CA; Bochmann, M.).
●​ Denney, R.C., Jeffery, G.H. and Mendham, J. eds., 1978. Vogel's textbook of
quantitative inorganic analysis including elementary instrumental analysis (p.
743). English Language Book Society.
Program Core Courses
EEE 101 Electrical Circuits I – v3
EEE 201 Electrical Circuits I - v1, v2
EEE 101L Electrical Circuits I Lab – v3
EEE 202 Electrical Circuits I Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Code:
EEE101
EEE101L
Course Title:
Electrical Circuits I
Electrical Circuits I Laboratory
Credit Hours (Theory +
Laboratory):
3+1
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
PHY 111 Principles of Physics
MAT 110 Mathematics I Differential Calculus
and Co-ordinate Geometry
Co-requisites:
None
Equivalent Course
ECE 101 Electrical Circuits I
EEE 201 Electrical Circuits I - v1, v2
ECE 201 Electrical Circuits I - v1, v2
ECE 101L Electrical Circuits I Laboratory
EEE 202 Electrical Circuits I Laboratory (1.5
credits) – v1, v2
ECE 202 Electrical Circuits I Laboratory (1.5
credits) – v1, v2
B. Course Catalog Description (Content):
The course is designed to acquaint students with basic DC electrical circuits and
their working. The Kirchhoff’s laws, node voltage methodology and circuit theorems
are used to solve simple DC circuits’ problems. The course then covered the network
elements, types of networks & analysis of complex circuits using Mesh current &
Nodal voltage method, various circuit theorems such as: Norton’s Theorem,
Thevenin’s Theorem, Superposition Theorem and develop an understanding of how
to apply these circuit theorems/techniques for solving different types of complex DC
circuit problems having dependent and independent voltage and current sources,
ability to apply delta-wye conversion techniques to analyze different types of more
complex circuits and calculate maximum power transfer for these circuits. The
response of first order RC and RL circuits is also analyzed along with step response.
Similar to electric circuit, magnetic circuit also analyzed using basic equations and
methods to solve magnetic circuit problems. In addition to class lectures,
comprehensive mandatory laboratory exercises are also designed so that theoretical
knowledge may be coincided with practical.
C. Course Objective:
This course is considered as the backbone to fundamental electrical circuits and
analysis. Ability to use the techniques, skills and modern engineering tools
necessary for modern engineering practice related to DC circuit applications. The
rationale of the course is to enable the students to develop the sound understanding
of and ability to design and analyze basic electrical DC circuits. As one of the core
courses for the EEE program, the knowledge from the course will be applied in future
EEE courses such as AC circuits, Electronic devices. The course allows the use the
students to use modern engineering techniques, skills and tools to fulfill practical
engineering problems related to DC circuit
D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Explain the fundamental concepts of linear electrical circuit elements
and magnetic properties of materials
CO2
Apply different circuit analysis techniques and circuit theorems to
solve circuits for unknown quantities
CO3
Interpret the natural and transient responses of the first order electric
systems involving capacitors and inductors
CO4
Use simulation tool to construct DC circuit in schematic level
CO5
Demonstrate basic proficiency in building, debugging and testing
basic electrical circuits
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t
domain/lev
and
el
activities
tools
Cognitive/
Lectures,
Assignmen
Understand
notes
t, Quiz
EEE 101 Electrical Circuits
CO1
Explain the
fundamental concepts
of linear electrical
circuit elements and
magnetic properties of
materials
a
CO2
Apply different circuit
a
analysis techniques
Cognitive/
Lectures,
Assignmen
Apply
notes
t, Quiz,
and circuit theorems to
Exam
solve circuits for
unknown quantities
CO3
Interpret the natural
a
and transient
Cognitive/
Lectures,
Assignmen
Apply
notes
t, Quiz,
responses of the first
Exam
order electric systems
involving capacitors
and inductors
EEE 101L Electrical Circuits Lab
CO4
Use simulation tool to
e
Cognitive/
construct DC circuit in
Understand
schematic level
,
Psychomot
or/
Manipulatio
n
Lab Class
Lab Work,
Lab Exam
CO5
Demonstrate basic
e
Cognitive/
proficiency in building,
Understand
debugging and testing
,
basic electrical circuits
Psychomot
Lab Class
Lab Work,
Lab Exam
or/
Manipulatio
n
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
8th Ed.
McGraw-
978-0-07-35
Hill
2957-8
Prentice-
0-13-173044
Hall
-4
n Year
1
Engineerin
W. H. Hayt,
g Circuit
J.
Analysis
Kemmerly
2007
and S. M.
Durbin
2
Introductor
Robert L.
y Circuit
Boylestad
2015
11th Ed.
Analysis
EEE 103 Computer Programming - v3
CSE 161 Computer Programming – v1, v2
EEE 103IL Computer Programming Laboratory – v3
CSE 162 Computer Programming Laboratory (1 credit) – v1, v2
A. Course General Information:
Course Code:
EEE103
EEE103IL
Course Title:
Computer Programming
Computer Programming Laboratory
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
None
Co-requisites:
None
Equivalent Course
ECE 103 Computer Programming
ECE 103IL Computer Programming Laboratory
CSE 161 Computer Programming – v1, v2
CSE 162 Computer Programming Laboratory
(1 credit) – v1, v2
B. Course Catalog Description (Content):
Introduction to programming languages, environments, number system, data
representation in computer. Algorithms and flowchart construction for problem
solving. Introduction to C programming (variables, data types, operators,
expressions, assignments). Conditional, control statements, and loops (if, if-else,
switch, while, for etc.). Introduction to 1D arrays and multi-dimensional arrays.
Introduction to functions (definitions, prototypes, argument, header files). Introduction
to functions (definitions, prototypes, argument, header files). Pointers, Structures,
File I/O. Object oriented programming: introduction, class, object and method. This
course has 3 hours/week mandatory integrated laboratory session.
C. Course Objective:​
The objectives of this course are to​
a. introduce algorithms and flowchart construction​
b. teach students the basic syntax of a programming language (variables, data
types, operators, expressions, assignments etc.)​
c. explain how to solve basic programming related problems​
d. determine syntax and semantic errors in a program​
e. introduce Integrated Development Environments(IDE)s as tools for solving
programming problems
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Write algorithms, flowcharts to solve basic and complex programming
problems
CO2
Implement conditional statements, loops, arrays and functions to
solve programming tasks
CO3
Apply pointer and memory addressing techniques in programming
CO4
Use IDE tools to compile and execute programs
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/
and
level
activities
EEE 103 Computer Programming
CO1
Write algorithms,
a
flowcharts to solve
Cognitive/
Lectures,
Apply
notes
Cognitive/
Lectures,
Apply
notes
Cognitive/
Lectures,
Apply
notes
Quiz, Exam
basic and complex
programming
problems
CO2
Implement conditional
a
statements, loops,
Quiz, Exam
arrays and functions to
solve programming
tasks
CO3
Apply pointer and
memory addressing
a
techniques in
programming
EEE 103IL Computer Programming Laboratory
Quiz, Exam
CO4
Use IDE tools to
e
Cognitive/
compile and execute
Apply,
programs
Psychomot
Lab class
Lab Work,
Lab Exam
or/
Manipulatio
n
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
3rd
McGraw-Hi
978-00788
ll Osborne
23114
n Year
1
Teach
Herbert
Yourself C
Schildt
1997
Media
2
Let Us C
Yashavant
2016
15th
Kanetkar
BPB
978-81833
Publication
31630
s
EEE 203 Electrical Circuits II
EEE 203L Electrical Circuits II Laboratory – v3
EEE 204 Electrical Circuits II Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Code:
EEE203
EEE203L
Course Title:
Electrical Circuits II
Electrical Circuits II Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 101 Electrical Circuits I
EEE 101L Electrical Circuits I Laboratory
MAT 120 Mathematics II Integral Calculus and
Differential Equations
Co-requisites:
None
Equivalent Course
ECE 203 Electrical Circuits II
ECE 203L Electrical Circuits II Laboratory
EEE 204 Electrical Circuits II Laboratory (1.5
credits) – v1, v2
ECE 204 Electrical Circuits II Laboratory (1.5
credits) – v1, v2
B. Course Catalog Description (Content):​
This course is considered as one of the fundamental courses to understand
Electrical Circuits. It introduces the generation of alternating source and analyze
parameters and perform mathematical calculations of real power, reactive power,
apparent power, power factor, reactive factor for different types of AC circuit.
Moreover, this course provides the concept of complex number calculations and
solve all the DC circuits’ concepts such as- series and parallel RL, RC and RLC
circuits, nodal and mesh analysis, application of network theorems in ac circuits.
Furthermore, this course introduces the concept of three phase circuits; balanced
and unbalanced circuits and power calculation which are the essential building
blocks for most of the electrical systems. The rationale of the course is to enable the
students to develop sound understanding of electrical circuits, design and analyze
these basic electrical circuits. As one of the core courses for the EEE program, the
knowledge from the course will be applied in future EEE courses such as Energy
Conversion I, Energy Conversion II, Power System I, Power System II, Power
Electronics and Switchgear and Protection Courses. This course has 3 hours/week
separate mandatory laboratory session.
C. Course Objective:​
The objectives of this course are to:​
a. Introduce basic understanding of phasors and phasor diagrams to analyze
voltage, current, power and impedance for AC circuit.​
b. Teach how to apply different network theorems to solve AC circuits in phasor
domain.​
c. Introduce the design and analyze the concept of series and parallel resonance
circuits​
d. Make understand the phase rotation and Wye/Delta connections for balanced and
unbalanced 3-phase systems​
e. Introduce how to calculate AC power and power factor for single and three phase
ac circuits.​
f. Prepare students to understand the frequency response of low-pass, high-pass,
band-pass, and band-reject filters and circuit response to non-sinusoidal input.​
g. Introduce computer simulations and extensive laboratory sessions to investigate
each major topic.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Apply different network theorems to solve AC circuits in phasor
domain and for non-sinusoidal inputs.
CO2
Analyze circuit problems on resonance and poly phase system for
different types of loads
CO3
Use simulation tool to investigate AC circuits in schematic level
CO4
Construct and troubleshoot AC circuits using laboratory equipment
CO5
Demonstrate the findings of hardware and software experiments
through reports
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/level
and
activities
EEE 203 Electrical Circuits II
CO1
Apply different
a
network theorems to
Cognitive/
Lectures,
Quiz,
Apply
notes
Assignment
solve AC circuits in
, Exam
phasor domain and for
non-sinusoidal inputs.
CO2
Analyze circuit
problems on
b
Cognitive/
Lectures,
Assignment
Analyze
notes
, Exam
resonance and poly
phase system for
different types of loads
EEE 203L Electrical Circuits II Laboratory
CO3
Use simulation tool to
e
Cognitive/
Lab class
Lab Work,
investigate AC circuits
Apply,
Lab Exam,
in schematic level
Psychomotor
Project
/ Precision
CO4
CO5
Construct and
e
Cognitive/
Lab class
Lab Work,
troubleshoot AC
Understand,
Lab Exam,
circuits using
Psychomotor
Project
laboratory equipment
/ Precision
Demonstrate the
j
Affective/Val
Lab
Lab
uing
Class,
Reports,
Lecture
Project
findings of hardware
and software
experiments through
Presentatio
reports
n
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
12th ed.
Pearson
ISBN-0-130
Educatio
97417-XII
n Year
1
Introductor
Robert.L.
y Circuit
Boylestad
Analysis
2012
n
2
Electric
J.W.Nilsson
Circuits
and
2014
7th ed.
Prentice
ISBN
Hall
978–0–07–3
S.Riedel
52955–7
EEE 205 Electronic Circuit I​
EEE 205L Electronic Circuit I Laboratory – v3​
EEE 206 Electronic Circuit I Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Code:
EEE 205
EEE 205L
Course Title:
Electronic Circuit I
Electronic Circuit I Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
Laboratory):
3+3
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 203 Electrical Circuit II
EEE 203L Electrical Circuit II Laboratory
Co-requisites:
None
Equivalent Course
ECE 205 Electronic Circuit I
ECE 205L Electronic Circuit I Laboratory
EEE 206 Electronic Circuit I Laboratory (1.5
credits) – v1, v2
ECE 206 Electronic Circuit I Laboratory (1.5
credits) – v1, v2
B. Course Catalog Description (Content):​
Fundamental concepts of the semiconductor: electrons and holes, concept of
doping, acceptors and donors, p and n-type materials is introduced. PN junction
Diode and circuits: Operation principle, Current-Voltage characteristics, Diode
models, diode DC analysis, Diode AC analysis: Rectifier circuits, Clipper and
Clamper circuits. Zener diode: IV characteristics, zener shunt regulator. Bipolar
Junction Transistor (BJT): Basic structure, BJT characteristics and regions of
operation, BJT Currents, BJT Terminal Voltages, BJT voltage amplification. Bipolar
Junction Transistor Biasing: The dc load line and bias point, biasing the BJT for
discrete circuits, small signal equivalent circuit models, h parameters. Single-stage
BJT amplifier circuits and their configurations: Voltage and current gain, input and
output impedances. Metal-Oxide-Semiconductor Field-Effect-Transistor (MOSFET):
structure and physical operation of MOSFETs, Threshold voltage, current-voltage
characteristics, Small-signal analysis of MOS amplifier, basic introduction to OpAMP.
C. Course Objective:​
The objectives of this course are to​
a. Introduce the fundamental concepts of semiconductor materials and their
properties required to understand the construction of electronic devices.​
b. Provide the students with the knowledge of the construction, operation principles,
characteristics of the basic electronic devices (Diode, BJT, MOSFET etc.), and
subsequently, with the ability to represent those devices into equivalent circuit
models (large signal and small signal).​
c. Teach the students different methods to Analyze electronic circuits consisting of
electronic devices: Diodes, BJTs and MOSFETs for DC and AC signals.​
d. Expose the students with the introductory design process of Amplifier circuits.​
e. Provide the students with the skills to simulate electronic circuits and construct,
troubleshoot/debug them, and finally, extract experimental data with a view to
solidifying the underlying knowledge of the devices
​
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Construct large-signal equivalent circuit of various electronic devices
such as Diode, BJT and MOSFET based on the understanding of the
construction, operation mechanism and characteristics of the devices.
CO2
Analyze electronic circuits consisting of different electronic devices
such as diodes, BJT, MOSFTEs for both DC and AC signals.
CO3
Design various electronic circuits such as Amplifier circuits and
Voltage regulator circuits
CO4
Investigate the effect of different circuit parameters including load
resistance on the Amplifier performances in terms of Gain,
input/output impedance, faithful reproducibility, stability in biasing etc.
CO5
Use simulation tool to construct electronic circuits and simulate in
schematic level
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t
domain/lev
and
el
activities
tools
Cognitive/
Lectures,
Assignmen
Apply
notes
t, Quiz,
EEE 205 Electronic Circuit I
CO1
Construct large-signal
a
equivalent circuit of
various electronic
Exam
devices such as
Diode, BJT and
MOSFET based on
the understanding of
the construction,
operation mechanism
and characteristics of
the devices.
CO2
Analyze electronic
circuits consisting of
different electronic
devices such as
diodes, BJT,
MOSFTEs for both
DC and AC signals.
a
Cognitive/
Lectures,
Assignmen
Analyze
notes
t, Quiz,
Exam
CO3
Design various
c
electronic circuits
Cognitive/
Lectures,
Assignmen
Create
notes
t, Exam,
such as Amplifier
Project
circuits and Voltage
regulator circuits
EEE 205L Electronic Circuit I Laboratory
CO4
Investigate the effect
d
Cognitive/
Lectures,
Open-ende
of different circuit
Evaluate,
notes
d Lab
parameters including
Psychomot
load resistance on the
or/
Amplifier
Manipulatio
performances in
n
Experiment
terms of Gain,
input/output
impedance, faithful
reproducibility,
stability in biasing etc.
CO5
Use simulation tool to
e
Cognitive/
construct electronic
Lab class
Lab Work,
Software
circuits and simulate
Apply
Exam,
in schematic level
Psychomot
Project
or/
Manipulatio
n
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
7th ed.
Oxford
ISBN-13:
n Year
1
Microelectro
Adel S.
2014
nics circuits
Sedra,
Universit
978-019933
Kenneth
y Press
9136
McGraw-
ISBN
Hill
978–0–07–3
C. Smith
2
Microelectro
Donald A.
nics Circuit
Neaman
2010
4th ed.
Analysis &
38064–3
Design
EEE 221 Energy Conversion I​
EEE 221L Energy Conversion I Laboratory – v3​
EEE 224 Energy Conversion Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Code:
EEE221
EEE221L
Course Title:
Energy Conversion I
Energy Conversion I Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 203 Electrical Circuits II
EEE 203L Electrical Circuits II Laboratory
Co-requisites:
None
Equivalent Course
ECE 221 Energy Conversion I
ECE 221L Energy Conversion I Laboratory
EEE 224 Energy Conversion Laboratory (1.5
credits) – v1, v2
ECE 224 Energy Conversion Laboratory (1.5
credits) – v1, v2
B. Course Catalog Description (Content):​
This course gives a brief idea about the fundamental concepts of some DC and AC
energy conversion machines. It starts with the basic principle, construction,
performance analysis and designing of a transformer. Then it covers the
construction, operating principle, effect of parameter changes and starting procedure
of induction motor, synchronous generator and synchronous motor. Students also
learn about the basic operating principle, procedure of speed control and starting of
DC machines. This course has 3 hours/week separate mandatory laboratory
session.
C. Course Objective:​
The objective of this course are to​
a. help students to understand the construction and basic principle of operation of a
complex energy conversion system​
b. provide the students with knowledge to analyze and design transformer, induction
motor, synchronous motor, synchronous generator, DC motor and DC generator.​
c. enable students to develop an understanding how different parameters like load,
field current, supply voltage, frequency change the performance of an electrical
machine​
d. equip students with necessary skills to construct, run and observe the operation of
basic electrical machines
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Describe the construction and basic operation principles of
transformer, induction motor, synchronous machine and DC machine
CO2
Examine the performance of transformer, induction motor,
synchronous machine and DC machine
CO3
Design transformer, induction motor, synchronous machine and DC
machine for practical applications with various requirements of torque
and speed using simulation tools
CO4
Explain the effect of different parameter changes on the operation of
induction motor, synchronous machine and DC machine
CO5
Demonstrate proficiency in using laboratory tools to carry out
experiments.
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t
domain/lev
and
el
activities
tools
Cognitive/
Lecture,
Quiz, Exam
Understand
Notes
Cognitive/
Lecture,
Analyze
Notes
EEE 221 Energy Conversion I
CO1
Describe the
a
construction and basic
operation principles of
transformer, induction
motor, synchronous
machine and DC
machine
CO2
Examine the
performance of
a
Quiz,
transformer, induction
Assignmen
motor, synchronous
t, Exam,
machine and DC
project
machine
CO3
Design transformer,
c
induction motor,
Cognitive/
Lecture,
Assignmen
Create
Notes
t, Exam,
synchronous machine
Project
and DC machine for
practical applications
with various
requirements of torque
and speed using
simulation tools
CO4
Explain the effect of
a
different parameter
Cognitive/
Lecture,
Quiz,
Understand
Notes
Assignmen
changes on the
t, Exam
operation of induction
motor, synchronous
machine and DC
machine
EEE 221L Energy Conversion I Laboratory
CO5
Demonstrate
e
Cognitive/
proficiency in using
Understand
laboratory tools to
Psychomot
carry out experiments.
or/
Precision
F. Text and Reference Books:
Lab Class
Lab Work,
Lab Exam
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
5th
McGraw
978-007-10
Hill
8617-2
Pearson
978-06752
n Year
1
Electric
Stephen
Machinery
J.
and
Chapman
2012
Fundamental
s
2
Electric
Charles I
Machines-
Hubert
2002
4th
11369
Theory,
Operation,
Applications,
Adjustment
and Control
EEE 241 Electromagnetic Waves and Fields
A. Course General Information:
Course Code:
EEE 241
Course Title:
Electromagnetic Waves and Fields
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture
Prerequisites:
EEE 203 Electrical Circuits II,
EEE 203L Electrical Circuits II Lab
MAT 216 Mathematics IV Linear Algebra and
Fourier Analysis
PHY 112 Principles of Physics II
Co-requisites:
None
Equivalent Course
ECE 241 Electromagnetic Waves and Fields
B. Course Catalog Description (Content):​
Electrostatics: Co-ordinate system, Rectangular, Cylindrical and Spherical
co-ordinates, and Vector Analysis; Fundamental Postulates of Electrostatics,
Gauss’s theorem and its application, Electrostatic Potential, Capacitance
Calculation, Laplace’s and Poisson’s equations, Method of Images, Energy of an
Electrostatic system, conductor and dielectrics. Steady Electric Current: Current
Density and Ohm’s Law, Boundary Conditions, Resistance Calculation.
Magnetostatics: Concept of magnetic field, Fundamental Postulates of Static
Magnetic Field, Ampere’s Law, Biot-Savart law, Vector Magnetic Potential, Energy of
Magnetostatic system, Mechanical forces and torques in electric and magnetic fields.
Solutions to static field problems; Graphical field mapping with applications, solution
to Laplace’s equations, rectangular, cylindrical and spherical harmonics with
applications. Maxwell’s equations: Their derivations, continuity of charges, concepts
of displacement current; Boundary conditions for time-varying systems; Potentials
used with varying charges and currents; Retarded potentials, Maxwell’s equations in
different coordinate systems. Propagation and reflection of electromagnetic waves in
unbounded media: Plane wave propagation, polarization, power flow and Poynting’s
theorem. Transmission line analogy, reflection from conducting and dielectric
boundary​
.​
C. Course Objective:​
The objectives of the course are to:​
a. Provide students with the basic concepts of electromagnetic theory, principles of
electromagnetic radiation, Electromagnetic boundary conditions and electromagnetic
wave propagation​
b. Enable students to demonstrate knowledge and understanding of Electromagnetic
fields in simple electronic configurations​
c. Help students to develop skills to analyze interactions of electromagnetic waves
with materials and interfaces
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to-
Sl.
CO Description
CO1
Explain the fundamentals of Electrostatic and Magnetostatic Fields
CO2
Apply Gauss's Law, Coulomb's Law and Poisson's Equation to
calculate fields and potentials to solve topic specific engineering
problems.
CO3
Demonstrate the interaction between time-varying electric and
magnetic fields and how this interaction leads to Maxwell's equations.
CO4
Analyze interactions of electromagnetic waves with materials and
interfaces and Interpret the effects of dielectrics upon the propagation
of electromagnetic waves.
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO1
CO Description
Explain the
POs
a
fundamentals of
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
Cognitive/
Lecture,
Understand
Notes
Cognitive/
Lecture,
Assignmen
Apply
Notes
t, Quiz,
Quiz, Exam
Electrostatic and
Magnetostatic Fields
CO2
Apply Gauss's Law,
a
Coulomb's Law and
Poisson's Equation to
Exam
calculate fields and
potentials to solve topic
specific engineering
problems.
CO3
Demonstrate the
interaction between
time-varying electric
and magnetic fields
and how this
interaction leads to
Maxwell's equations.
a
Cognitive/
Lecture,
Assignmen
Apply
Notes
t, Quiz,
Exam
CO4
Analyze interactions of
b
electromagnetic waves
Cognitive/
Lecture,
Assignmen
Analyze
Notes
t, Exam
Edition
Publisher
ISBN
2nd
Pearson
13:
with materials and
interfaces and Interpret
the effects of dielectrics
upon the propagation
of electromagnetic
waves.
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
n Year
01
Field and
David K.
Wave
Cheng
2006
97802011281
Electromagn
92
etics
02
Elements of
Matthew
Electromagn
Sadiku
2010
3rd
Oxford
13:
Universit
978-0199743
y
001
etics
EEE 243 Signals and Systems
A. Course General Information:
Course Code:
EEE 243
Course Title:
Signals and Systems
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture
Prerequisites:
EEE 203 Electrical Circuits II
EEE 203L Electrical Circuits II Laboratory
MAT 216 Mathematics IV Linear Algebra and
Fourier Analysis
Co-requisites:
None
Equivalent Course
ECE 243 Signals and Systems
B. Course Catalog Description (Content):​
This is an introductory course in the field of communication engineering. It provides
basic concepts of signals and systems and how different operations is done on the
elementary signals. Students will learn to determine output of LTI system using the
technique of convolution. They will get an insight of frequency domain techniques for
analysis and manipulation of continuous time signals. Students will learn to
determine Fourier series coefficient and Fourier transform of periodic and aperiodic
time domain signals. This learning is also extended to Laplace transform. Using
these frequency domain techniques students will be able to design and analyze
different types of systems.
​
C. Course Objective:​
The objectives of this course are to​
a. introduce the fundamental concepts of signals and systems​
b. enable students to find system output using convolution integral​
c. provide basic understanding of frequency domain representation of signals​
d. enable students to analyze systems using Fourier Series, Fourier Transform and
Laplace Transform​
e. develop the techniques of designing a system using frequency domain methods​
f. prepare students to take more advanced courses in the area of communication
engineering
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Explain various types of signals (such as continuous and discrete,
periodic and aperiodic, power and energy) and systems (such as
linearity, time invariance, causality, memory, invertibility, and BIBO
stability)
CO2
Analyze various properties of signals and system
CO3
Apply the basic properties of the Fourier series, Fourier transform and
Laplace transform for problem analysis and solving
CO4
Use the frequency domain techniques to design systems that meets
particular requirements
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
CO1
Explain various types
a
of signals (such as
Cognitive/
Lectures,
Quiz,
Understand
notes
Assignment
continuous and
, Exam
discrete, periodic and
aperiodic, power and
energy) and systems
(such as linearity, time
invariance, causality,
memory, invertibility,
and BIBO stability)
CO2
Analyze various
b
properties of signals
Cognitive/
Lectures,
Assignment
Analyze
notes
, Exam
Cognitive/
Lectures,
Quiz,
Apply
notes
Assignment
and system
CO3
Apply the basic
a
properties of the
Fourier series, Fourier
, Exam
transform and Laplace
transform for problem
analysis and solving
CO4
Use the frequency
domain techniques to
a
Cognitive/
Lectures,
Assignment
Apply
notes
, Exam
design systems that
meets particular
requirements
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
2nd
Pearson
978-129202
n Year
1
Signals
Alan V.
and
Oppenheim,
Systems
Alan S.
2013
5902
Willsky, With
S. Hamid,
Syed Hamid
Nawab
2
Continuou
Samir S.
s and
Soliman,
discrete
Mandyam D.
signals
Srinath
1990
2nd
Prentice
81-203-230
Hall
7-6
Oxford
0-941413-3
Systems
Universit
5-7
and
y Press,
Signals
Inc
and
systems
3
Linear
B. P. Lathi
2001
2nd
EEE 282 Numerical Techniques
A. Course General Information:
Course Code:
EEE 282
Course Title:
Numerical Techniques
Credit Hours (Theory +
0+1
Laboratory):
Contact Hours (Theory +
0+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Laboratory
Prerequisites:
EEE 103 Computer Programming
MAT 120 Mathematics II Integral Calculus and
Differential Equations
Co-requisites:
None
Equivalent Course
ECE 282 Numerical Techniques
B. Course Catalog Description (Content):​
This course is provides a solid introduction to the field of numerical analysis. The
course starts with some basic discussion on some of the preliminary topics of
numerical methods and provides a background of programming. Diverse methods of
finding roots, interpolation techniques, numerical differentiation and integration are
covered in this course. Solution of ordinary differential equations and solving linear
systems are also introduced in the course. Aside from developing competency in the
topics and emphases listed above, the course aims to further development of the
students in applying problem solving skills through the introduction of numerical
methods.
C. Course Objective:​
The objectives of this course are to​
a. Introduce an understanding of the core ideas and concepts of Numerical Methods.​
b. Provide students with sound understanding and knowledge of programming and
efficient coding to implement different numerical methods and concepts.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Evaluate different methods of interpolation.
CO2
Explore the basic concepts of numerical differentiation and
integration.
CO3
Apply the knowledge of numerical methods for solving linear systems.
CO4
Use appropriate simulation tools to perform experiments on various
numerical methods.
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/level
and
activities
CO1
Evaluate different
a
methods of
Cognitive/
Lecture,
Assignmen
Evaluate
Notes, Lab
t, Lab
class
Exam
Cognitive/
Lecture,
Assignmen
Understand
Notes, Lab
t, Lab
class
Exam
interpolation.
CO2
Explore the basic
concepts of
numerical
differentiation and
integration.
a
CO3
Apply the knowledge
a
Cognitive/
Lecture,
Assignmen
Apply
Notes, Lab
t, Lab
class
Exam
Cognitive/
Lab Class,
Assignmen
simulation tools to
Apply
Lectures,
t, Lab
perform experiments
Psychomoto
Tutorial
Exam,
on various numerical
r/ Precision
of numerical
methods for solving
linear systems.
CO4
Use appropriate
e
Project
methods.
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
7th
McGraw-
13:
n Year
01
Numerical
Steven C.
2014
Methods
Chapra​
Hill
978-0073397
for
&
Educatio
924
Engineers
Raymond
n
C. Canale
02
Elementar
Kendall
y
Atkinson​
978-0471433
Numerical
&​
378
Analysis
Weimin
Han
2003
3rd
Wiley
13:
EEE 283 Digital Logic Design - v3​
EEE 301 Digital Electronics – v1, v2​
EEE 283L Digital Logic Design Laboratories – v3​
EEE 302 Digital Electronics Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Code:
EEE 283
EEE 283L
Course Title:
Digital Logic Design
Digital Logic Design Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 205 Electronic Circuit I
EEE 205L Electronic Circuit I Laboratory
Co-requisites:
None
Equivalent Course
ECE 283 Digital Logic Design
EEE 301 Digital Electronics – v1, v2
ECE 301 Digital Electronics – v1, v2
ECE 283L Digital Logic Design Laboratory
EEE 302 Digital Electronics Laboratory (1.5
credits) – v1, v2
ECE 302 Digital Electronics Laboratory (1.5
credits) – v1, v2
B. Course Catalog Description (Content):​
Different types of number systems, their representation, conversion and
mathematical operation. Codes: BCD, alphanumeric, gray and excess-3. Digital
logic: Boolean algebra, De Morgan's laws. Logic minimization. Logic gates and their
truth tables. Basic logic gates in CMOS: DC characteristics, noise margin and power
dissipation. Modular combinational circuit design: pass gates, multiplexer,
de-multiplexer, encoder, decoder and comparators. Arithmetic logic circuit design:
Half adder, full adder, half subtractor, full subtractor. Sequential circuits: Different
types of latches, flip-flops and their design using ASM approach, timing analysis and
power optimization of sequential circuits. Modular sequential logic circuit design: shift
registers, counters and their applications. Synthesis of digital circuits using Hardware
Description Language (HDL). This course has 3 hours/week separate mandatory
laboratory session.
C. Course Objective:​
The objectives of this course are to​
a. Introduce the concepts and terminology of digital logic design to create circuits to
solve problems using gates to replicate all logic functions.​
b. Introduce theorems and properties of Boolean algebra and simplification
techniques including Karnaugh Map to reduce Boolean expressions and logic circuits
to their simplest forms.​
c. Prepare students to design and implement combinational and sequential circuits.​
d. Exposed students in designing and evaluating solutions for complex digital system
design problem.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Apply the concept of digital logic design to solve the problem using
gates to replicate logic functions
CO2
Analyze combinational and sequential logic circuits built with various
logic gates, flip-flops, registers, counters etc. represented through
schematic diagram or hardware description language.
CO3
Design combinational and sequential logic circuits using various logic
gates, flip-flops, registers, counters as building blocks
CO4
Perform effectively as an individual or in a team to design and build
combinational and sequential logic circuits in the laboratory or project
development
CO5
Communicate the findings of hardware and software experiments and
projects through reports and presentations
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/level
and
activities
EEE 283 Digital Logic Design
CO1
Apply the concept
a
Cognitive/
Lectures,
of digital logic
Assignment
,
Apply
design to solve the
Notes
Quiz, Exam
problem using
gates to replicate
logic functions
CO2
Analyze
a
Cognitive/
combinational and
Lectures,
Assignment
Notes
,
Analyze
sequential logic
Quiz, Exam
circuits built with
various logic gates,
flip-flops, registers,
counters etc.
represented
through schematic
diagram or
hardware
description
language.
CO3
Design
combinational and
sequential logic
circuits using
various logic gates,
flip-flops, registers,
counters as
building blocks
c
Cognitive/
Lectures,
Assignment
Create
Notes
, Project
EEE 283L Digital Logic Design Laboratories
CO4
Perform effectively
i
Affective/
as an individual or
Lab class
Valuing
Observatio
in a team to design
n,
and build
Peer-revie
combinational and
w
sequential logic
circuits in the
laboratory or
project
development
CO5
Communicate the
j
Cognitive/Under
Lab Class
Lab
findings of
stand, Affective/
Reports,
hardware and
Valuing
Project
software
Reports
experiments and
and
projects through
Presentatio
reports and
n
presentations
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
n Year
Edition
Publisher
ISBN
1
Digital
Ronald J
2011
11th
Prentice
0135103827
Systems:
Tocci and
Hall,
,
Principles
Neal S
9780135103
and
Widmer,
821
Application
s
2
3
Digital
M. Morris
2004
Logic and
Mano and
Computer
Michael
9780131405
Design
D. Ciletti,
394
Fundament
Roth, HR,
2010
4th
6th
Pearson/Pre
013140539
ntice Hall,
X,
Thomson-Br 0495471690
als of Logic
ooks/Cole
Design
,
9780495471
691
EEE 305 Control Systems​
EEE 305L Control Systems Laboratory – v3​
EEE 306 Control Systems Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Code:
EEE 305
EEE 305L
Course Title:
Control Systems
Control Systems Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 243 Signals and Systems
Co-requisites:
None
Equivalent Course
ECE 305 Control Systems
ECE 305L Control Systems Laboratory
EEE 306 Control Systems Laboratory (1.5
credits) – v1, v2
ECE 306 Control Systems Laboratory (1.5
credits) – v1, v2
B. Course Catalog Description (Content):​
This is a first course on feedback control of dynamic systems. It provides basic
concepts and principles of modeling, analysis and design of continuous time linear
feedback control systems. Students gain experience in applying a variety of
modeling techniques and analyzing system performance from several perspectives
to include the time and frequency domains. Using this classical control design
techniques, students learn to synthesize linear controllers capable of satisfying a
variety of stability and response criteria. Practical aspects of the class include the
use of case studies of real control systems as well as the use of Matlab/Simulink for
simulation and design. A companion 3 hours/week laboratory session provides
additional hands-on experimental exposure to the design, implementation and
performance of linear controllers using second order servo system.
C. Course Objective:​
The course primarily contributes to demonstrate an understanding of the
fundamentals of feedback control systems, design a system, component or process
to meet desired needs, use the techniques, skills and modern engineering tools
necessary for modern engineering practice related to control systems. As one of the
core courses for the EEE program, the knowledge from the course will be applied in
future practical applications such as robotics, radar tracking system, aircraft flight
control system, space flight and also for those who are interested to further study in
control engineering
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Identify an approximate linear/linearized model for a physical
dynamic system.
CO2
Examine the stability and feedback control of linear time-invariant
(LTI) systems
CO3
Design linear control systems using time domain and frequency
domain techniques
CO4
Recognize the need for learning new concepts, theories,
technologies and systems related to control systems engineering
field
CO5
Utilize software tools to design and analysis of control systems
CO6
Perform hands-on practical demonstration of control theories in
laboratory setup
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
EEE 305 Control Systems
CO1
Identify an
a
approximate
Cognitive/
Lectures,
Assignmen
Analyze
notes
t, Quiz,
linear/linearized
Exam
model for a physical
dynamic system.
CO2
Examine the stability
and feedback control
of linear
a
Cognitive/
Lectures,
Assignmen
Analyze
notes
t, Exam
time-invariant (LTI)
systems
CO3
Design linear control
c
Cognitive/
Lectures,
Lab Work,
Create
notes
Project
Cognitive/
Independe
Case-study
for learning new
Understand
nt
report
concepts, theories,
,​
case-study
technologies and
Affective/
systems related to
Valuing
systems using time
domain and
frequency domain
techniques
CO4
Recognize the need
l
control systems
engineering field
EEE 305L Control Systems Laboratory
CO5
Utilize software tools
e
Cognitive/
Lab Class
Lab Work,
to design and
Apply,
Lab Exam,
analysis of control
Psychomot
Project
systems
or/
Precision
CO6
Perform hands-on
e
Cognitive/
Lab Class
Lab Work,
practical
Apply,
Lab Exam,
demonstration of
Psychomot
Project
control theories in
or/
laboratory setup
Precision
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
5th Ed.
Prentice-
0-13-615673
Hall
-8
John
978-0470-54
Wiley &
756-4
n Year
1
Modern
K. Ogata
2010
Control
Engineering
2
Control
Norman S.
Systems
Nise
2011
6th Ed.
Engineering
Sons,
Inc.
EEE 308 Electronic Circuits II – v3​
EEE 207 Electronic Circuits II – v1, v2​
EEE 308L Electronic Circuits II Laboratory – v3​
EEE 208 Electronic Circuits II Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Details
Course Code:
EEE 308
EEE 308L
Course Title:
Electronic Circuits II
Electronic Circuits II Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 205 Electronic Circuits I
EEE 205L Electronic Circuits I Laboratory
Co-requisites:
None
Equivalent Course
ECE 308 Electronic Circuits II
EEE 207 Electronic Circuits II – v1, v2
ECE 207 Electronic Circuits II – v1, v2
ECE 308L Electronic Circuits II Laboratory
EEE 208 Electronic Circuits II Laboratory (1.5
credits) – v1, v2
ECE 208 Electronic Circuits II Laboratory (1.5
credits) – v1, v2
B. Course Catalog Description (Content):​
This course provides students with a foundation to the design and analysis of basic
circuit building blocks needed to construct a complete analog electronic system. The
course starts with the general frequency considerations for single stage or multi
stage network: low and high frequency analysis, an important consideration for any
analog electronic system. The course then introduces Operational Amplifiers (Op
Amp), their terminal characteristics, open loop and close loop configurations,
inverting and non-inverting amplifiers, and their applications in various circuit building
blocks. Applications of op amps in the design and construction of Active Filters and
Sinusoidal Oscillator circuits will be also discussed in detail. Concept of Feedback
and how negative feedback can be used to improve the performance of Amplifiers
will be also provided. This course has separate 3 hours/week mandatory laboratory
session.
C. Course Objective:​
The objectives of this course are to​
a. enable the students to develop the sound understanding of and ability to design
and analyze operational amplifier based electronic circuits​
b. provide students with a foundation for analyzing and designing basic electronic
circuit building blocks for different applications, such as, adder, integrator,
differentiator, differential amplifier, filters, oscillators, etc.​
c. help students develop an understanding of how different physical parameters such
as frequency, temperature, etc. limit the performance of the amplifiers and how to
address this problem.​
d. equip students with necessary technical skills to construct and troubleshoot
operational amplifier based electronic circuits
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Explain the theory behind the op amp based amplifier circuits, filter,
oscillator and feedback amplifier circuits.
CO2
Apply the knowledge of op amps, in open loop and close loop
connections, to analyze op amp based various circuits, such as,
adder circuit, integrator circuit, difference amplifier, etc.
CO3
Design Op Amp based electronic circuits for some practical
application
CO4
Investigate the effect of signal frequency on the amplifier
performance
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
EEE 308 Electronic Circuits II
CO1
Explain the theory
behind the op amp
based amplifier
circuits, filter, oscillator
and feedback amplifier
circuits.
a
Cognitive /
Lectures,
Quiz,
Understand
notes
Assignmen
t, Exam
CO2
Apply the knowledge
a
of op amps, in open
Cognitive /
Lectures,
Assignmen
Apply
notes
t, Quiz,
loop and close loop
Exam
connections, to
analyze op amp based
various circuits, such
as, adder circuit,
integrator circuit,
difference amplifier,
etc.
CO3
Design Op Amp based
c
electronic circuits for
Cognitive /
Lectures,
Create
notes
Project
some practical
application
EEE 308L Electronic Circuits II Laboratory
CO4
Investigate the effect
d
Cognitive/
Laboratory
Open-ende
of signal frequency on
Analyze,
session
d lab
the amplifier
Psychomot
performance
or/
Precision
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
7th Ed
Oxford
ISBN
n Year
1
2
Microelectro
S. Sedra
nic Circuits
and K. C.
Univ.
Smith
Press
Electronic
Donald A
Circuits
Neaman
2015
2010
3rd Ed
McGraw
Hill
Analysis and
Design
EEE 309 Semiconductor Device Physics – v3​
EEE 209 Semiconductor Devices and Materials – v1, v2
A. Course General Information:
Course Code:
EEE 309
Course Title:
Semiconductor Device Physics
Credit Hours(Theory +
3+0
Laboratory):
Contact Hours(Theory +
3+0
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture
Prerequisites:
EEE 205 Electronics Circuits I
EEE 205L Electronics Circuits I Laboratory
Co-requisites:
None
Equivalent Course
ECE 309 Semiconductor Device Physics
EEE 209 Semiconductor Devices and Materials
– v1, v2
EEE 209 Semiconductor Devices and Materials
– v1, v2
B. Course Catalog Description (Content):​
This course is an introduction to solid state electronic devices for undergraduate
engineering students. It deals with the physics (electrical and electronic properties)
of semiconductor materials, simple pn junction, and some of the most common
electronic devices, such as, rectifier and zener diodes, transistors, MOSFETs. The
course commences by looking into the semiconductor fundamentals including
crystals and energy bands, charge carriers (electrons and holes), doping, and
transport, (drift and diffusion); basic concepts of generation-recombination and the
P-N junction as capacitors and current rectifier with applications in photonics; bipolar
transistors and switching three-terminal devices. Being a fundamental course in
electronics, knowledge from this course will be essential to understand many other
electronic courses, such as, electronic devices and circuits, opto-electronics, VLSI,
analog integrated circuits, power electronics etc.
C. Course Objective:​
The objectives of this course are to​
a. introduce students to the physics of semiconductor materials and the inner
working principles of semiconductor devices​
b. provide students with a sound understanding of characteristics and behavior of
existing devices, so that studies of electronic circuits and systems will be meaningful​
c. help develop the basic tools with which students can later learn about newly
developed devices and applications
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Explain the physical, chemical and electrical properties of
semiconductor materials and what distinguishes them from other
materials
CO2
Apply the understanding of basic semiconductor physics to determine
carrier concentration, energy band diagram and carrier transport
mechanism
CO3
Apply the knowledge of math and physics to determine the
generation-recombination and transport characteristics of minority
carriers under external excitation in a semiconductor
CO4
Analyze the inner working of semiconductor p-n junction diodes by
gaining an in-depth understanding of the physics of the p-n junction,
its electrostatic and electro-dynamic behaviors
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
CO1
Explain the physical,
a
Cognitive/
chemical and electrical
Lectures,
Quiz, Exam
notes
Understand
properties of
semiconductor
materials and what
distinguishes them
from other materials
CO2
Apply the
a
Cognitive/
understanding of basic
Lectures,
Quiz,
notes
Assignmen
Apply
semiconductor physics
t, Exam
to determine carrier
concentration, energy
band diagram and
carrier transport
mechanism
CO3
Apply the knowledge of
math and physics to
determine the
generation-recombinati
on and transport
characteristics of
minority carriers under
external excitation in a
semiconductor
a
Cognitive/
Lectures,
Quiz,
Apply
notes
Assignmen
t Exam
CO4
Analyze the inner
b
Cognitive/
Lectures,
Assignmen
Analyze
notes
t Exam
Edition
Publisher
ISBN
7
Prentice
8120350006
working of
semiconductor p-n
junction diodes by
gaining an in-depth
understanding of the
physics of the p-n
junction, its
electrostatic and
electro-dynamic
behaviors
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
n Year
1
Solid State
B. G.
Electronic
Streetman
Devices
and S.
2014
Hall
Banerjee
2
Semiconduct
Donald A.
or Physics
Neamen
and Devices
2017
4
McGraw-
9780071070
Hill
102
EEE 321 Power System I​
EEE 321L Power System I Laboratory – v3​
EEE 322 Power System I Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Code:
EEE 321
EEE 321L
Course Title:
Power System I
Power System I Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 221 Energy Conversion
EEE 221L Energy Conversion Laboratory
Co-requisites:
None
B. Course Catalog Description (Content):​
Network representation: Single line and reactance diagram of power system and per
unit system. Line representation: equivalent circuit of short, medium and long lines.
Load flow: Gauss- Seidel and Newton Raphson Methods. Voltage control: Tap
changing transformer, phase shifting, booster and regulating transformer, shunt
capacitor and synchronous condenser. Fault analysis: Short circuit current and
reactance of a synchronous machine. Symmetrical fault calculation methods:
symmetrical components, sequence networks and unsymmetrical fault calculation.
Protection: Introduction to relays, differential protection and distance protection.
Introduction to circuit breakers. Typical layout of a substation. Power plant: Types
and comparison, major components of gas turbine power plant. Load curve and load
duration curve, load factor, capacity factor and plant factor. Definition and
classification of stability, two axis model of synchronous machine, rotor angle stability
– swing equation, power-angle equation, synchronizing power coefficients, equal
area criterion, multi-machine stability studies, step-by-step solution of the swing
curve, factors affecting transient stability, frequency and voltage stability. Power
quality- voltage sag and swell, surges, harmonics, flicker, grounding problems;
IEEE/IEC standards, mitigation techniques. This course has separate 3 hours/week
mandatory laboratory session.
C. Course Objective:​
The objectives of this course are to​
a. Provide fundamental knowledge towards the power system engineering and basic
concepts regarding power system representation, load flow analysis, voltage control
methods, and faults in the system, protection system, general idea of a substation,
power plant and various factors for modeling customer load.​
b. Assist student to gain hands-on experience through conducting lab experiments.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Explain basic concepts and aspects of network representation,
transmission line and per-unit system, protection, voltage control,
power plant types and customer load modeling in power systems
CO2
Solve load flow problems to an electrical power network.
CO3
Analyze a network under both symmetrical and unsymmetrical fault
conditions.
CO4
Use Power system analysis tools to study steady-state behavior and
faults in electrical power networks
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
EEE 321 Power System I
CO1
Explain basic concepts
A
and aspects of
Cognitive/
Lectures,
Quiz, Exam
Understand
notes
Cognitive/
Lectures,
Quiz,
Apply
notes
Assignmen
network
representation,
transmission line and
per-unit system,
protection, voltage
control, power plant
types and customer
load modeling in
power systems
CO2
Solve load flow
problems to an
electrical power
network.
A
t, Exam
CO3
Analyze a network
B
under both
Cognitive/
Lectures,
Assignmen
Analyze
notes
t, Exam
Lab class
Lab Work,
symmetrical and
unsymmetrical fault
conditions.
EEE 321L Power System I Laboratory
CO4
Use Power system
E
Cognitive/
analysis tools to study
Apply
steady-state behavior
Psychomot
and faults in electrical
or/
power networks
Precision
Lab Exam
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
2nd ed.
McGraw-
ISBN 13:
Hill
97812590083
n Year
1
Power
John
System
Grainger,
Analysis
Jr., William
Stevenson
1994
51
2
Power
Leonard L.
System
Grigsby
2012
3rd ed.
Prentice
ISBN
Hall
97814398832
Stability
04
and
Control
EEE 341 Introduction to Communication Engineering​
EEE 341L Introduction to Communication Engineering Laboratory – v3​
EEE 342 Introduction to Communication Engineering Laboratory (1.5 credits) – v1,
v2
A. Course General Information:
Course Code:
EEE 341
EEE 341L
Course Title:
Introduction to Communication Engineering
Introduction to Communication Engineering
Laboratory
Credit Hours (Theory +
Laboratory):
3+1
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 241 Electromagnetic Fields and Waves
EEE 243 Signal and Systems
STA 201 Elements of Statistics and Probability
Co-requisites:
None
Equivalent Course
ECE 341 Introduction to Communication
Engineering
ECE 341L Introduction to Communication
Engineering Laboratory
EEE 342 Introduction to Communication
Engineering Laboratory (1.5 credits) – v1, v2
ECE 342 Introduction to Communication
Engineering Laboratory (1.5 credits) – v1, v2
B. Course Catalog Description (Content):​
This course provides introduction to basic principles of Communication system,
fundamental elements, basic modes of communication, transmission media types. It
begins with a brief discussion on Fourier series and Fourier Transform and their
application in multiplexing, modulation, and sampling and other fields of
communication engineering. It also deals with different aspects of Noise in
communication system. Students will gain detail knowledge about different types of
analog modulation such as Amplitude Modulation (AM), Frequency Modulation (FM)
and Phase Modulation (PM), and digital modulation techniques such as Amplitude
Shift Keying (ASK), Frequency Shift Keying (FSK), Phase Shift Keying (PSK) and
their applications. This course also covers the basics of different multiplexing
techniques such as Time Division Multiplexing (TDM), Frequency Division
Multiplexing (FDM) etc. This course has separate 3 hours/week mandatory
laboratory session.
C. Course Objective:​
The objectives of this course are to​
a. Introduce the core concepts and fundamental elements of a communication
system.​
b. Provide students with sound understanding and knowledge of different modes of
modulation schemes used in modern communication systems and basic multiplexing
techniques.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Explain different types of modulation and multiplexing techniques.
CO2
Analyze modulated and demodulated signals in time domain and
frequency domain.
CO3
Apply the knowledge to solve problems related to communication
engineering
CO4
Use hardware and software tools to perform experiments on various
modulation schemes.
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/level
and
activities
EEE 341 Introduction to Communication Engineering
CO1
Explain different types
a
of modulation and
Cognitive/
Lecture,
Assignmen
Understand
Notes
t Quiz,
multiplexing
Exam,
techniques.
CO2
Analyze modulated
b
and demodulated
Cognitive/
Lecture,
Assignmen
Analyze
Notes
t Exam,
Cognitive/
Lecture,
Quiz,
Apply
Notes
Assignmen
signals in time
domain and
frequency domain.
CO3
Apply the knowledge
to solve problems
a
related to
t, Exam,
communication
Project
engineering
EEE 341L Introduction to Communication Engineering Laboratory
CO4
Use hardware and
e
Cognitive/
software tools to
Apply
perform experiments
Psychomoto
on various modulation
r/ Precision
Lab Class
Lab Work,
Lab Exam
schemes.
G. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
5th
Wiley
13:
n Year
01
Communicat
Micheal
2009
ion Systems
Mohar​
978-047169
&​
7909
Simon S.
Haykin
02
Modern
B. P. Lathi​
Digital and
&
Analog
Communicat
ion System
Z. Ding
2010
4th
New York
13:
: Oxford
978-019538
Universit
4932
y Press,
2009
EEE 343 Digital Signal Processing​
EEE 343L Digital Signal Processing Laboratory – v3​
EEE 344 Digital Signal Processing Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Code:
EEE 343
EEE 343L
Course Title:
Digital Signal Processing
Digital Signal Processing Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 243 Signals and Systems
Co-requisites:
None
Equivalent Course
ECE 343 Digital Signal Processing
ECE 343L Digital Signal Processing
Laboratory
EEE 344 Digital Signal Processing Laboratory
(1.5 credits) – v1, v2
ECE 344 Digital Signal Processing Laboratory
(1.5 credits) – v1, v2
B. Course Catalog Description (Content):​
In this course an introduction to the basic analysis tools and techniques for digital
processing of signals is given. It begins by introducing some of the necessary
terminology and by describing the important operations, sampling and quantization,
associated with the process of converting an analog signal to digital form suitable for
processing. Students will learn the application of Nyquist Theorem to control the
amount of distortion during the reconstruction phase. This course will also cover
discrete time linear system analysis in the time-domain, z-transform and its
applications, discrete-time Fourier series (DTFS), discrete-time Fourier transform
(DTFT), discrete Fourier transform (DFT), and their applications in designing digital
filters (FIR and IIR). This course has separate 3 hours/week mandatory laboratory
session.
C. Course Objective:​
The objectives of this course are to​
a. Introduce the fundamentals, implementation and applications of digital signal
processing techniques as applied to practical, real world problems.​
b. Provide students with sound understanding and knowledge of information bearing
signals and signal processing in a wide variety of applications settings, including
spectral estimation, instrumentation, control, communications, signal interpretation
and diagnostics and imaging
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Reconstruct signals between analog and digital domain
CO2
Examine digital signals in different domains ( Z Domain and Fourier
Domain)
CO3
Design FIR/IIR filters using different techniques and requirements
CO4
Recognize the need for learning new concepts and applications in
digital signal processing field
CO5
Investigate digital signal properties and characteristics by setting up
appropriate simulation models and/or experiments and analysis of
results
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t Tools
domain/lev
and
el
activities
EEE 343 Digital Signal Processing
CO1
Reconstruct signals
a
between analog and
Cognitive/
Lecture,
Assignment
Create
Notes
, Quiz,
digital domain
CO2
Examine digital
signals in different
domains ( Z Domain
and Fourier Domain)
Exam
a
Cognitive/
Lecture,
Assignment
Analyze
Notes
, Quiz,
Exam
CO3
Design FIR/IIR filters
c
Cognitive/
using different
Lecture
Create
Assignment
, Project
techniques and
requirements
CO4
Recognize the need
l
Cognitive/
Independe
Research/
for learning new
Understand
nt
Case-study
concepts and
, Affective/
research/
report
applications in digital
Valuing
case study
signal processing field
EEE 343L Digital Signal Processing Laboratory
CO5
Investigate digital
d
signal properties and
Cognitive/
Lab Work
Evaluate
Open
ended Lab
characteristics by
setting up appropriate
simulation models
and/or experiments
and analysis of results
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
n Year
Edition
Publisher
ISBN
01
Digital
J. G.
2006
4th
Pearson
13:
Signal
Proakis
97801318737
Processing,
and G.
42
Principles,
Manolakis
Algorithms
and
Application
s
02
Discrete-ti
Oppenhei
me Signal
Processing
2010
3rd
Prentice-
13:
m,
Hall
978-0131988
Schafer
Signal
422
and Buck
Processin
g Series
EEE 359 Engineering Project Management
A. Course General Information:
Course Code:
EEE 359
Course Title:
Engineering Project Management
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
School/Program Core
Type:
Required, Engineering , Lecture
Prerequisites:
ENG 102 English Composition
HUM 103 Ethics and Culture
Co-requisites:
None
Credit requirements:
At least 65 credit hours completed
Equivalent Course
ECE 359 Engineering Project Management
B. Course Catalog Description (Content):​
The course introduces fundamental principles and components of project
management from the initiation, planning, execution, monitoring, controlling and
closeout in an engineering context. Topics include project initiation, cost-benefit
estimation, budgeting, work plans and scheduling, tracking work, resource allocation,
project coordination, project monitoring and control including cost, schedule, scope
and quality management, risk management and change management, leadership
and team management, conflict and negotiations, ethics, and professional
responsibility and close out
C. Course Objectives:​
The objectives of this course are to​
a. Enable students to understand fundamental principles, process and components
of engineering project management​
b. Prepare students to plan, develop, manage, lead, and successfully implement and
deliver engineering projects​
c. Enable students to apply cost-benefit analysis and considerations in
economic-decision making process related to engineering project.​
d. Allow students to develop communication skills required in project management​
e. Prepare students to develop team-building capabilities for an effective project
implementation
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
Course Outcome
CO1
Explain the basics of project management principles, process, life
cycle and interrelationship of various components
CO2
Develop a project plan, schedule, cost-estimation and budget, project
risks.
CO3
Use the appropriate project management tools to manage
engineering project
CO4
Prepare cost-benefit analysis in economic-decision process related to
engineering project development
CO5
Communicate various stages of project progress to stakeholders
through writings, technical reports, deliverables and oral
presentations
CO6
Display the ability to contribute effectively as a member or leader in an
engineering project development team
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO1
CO Description
Explain the basics of
POs
k
project management
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
Cognitive/
Lecture
Understand
Assignment
, Quiz,
principles, process, life
Exam,
cycle and
interrelationship of
various components
CO2
Develop a project plan,
k
schedule,
Cognitive/
Lecture
Apply
Project,
Assignment
cost-estimation and
budget, project risks.
CO3
Use the appropriate
k
project management
Cognitive/
Lecture
Apply
Project,
Assignment
tools to manage
engineering project
CO4
Prepare cost-benefit
analysis in
economic-decision
process related to
k
Cognitive/
Apply
Lecture
Case
Study,
Project
engineering project
development
CO5
Communicate various
j
Psychomot
Report
Project
stages of project
or/
Writing
report and
progress to
Precision
workshop
presentatio
stakeholders through
n
writings, technical
reports, deliverables
and oral presentations
CO6
Display the ability to
i
Affective/
Discussion
Project
contribute effectively
Organizatio
on
review,
as a member or leader
n
Team-build
Peer-evalu
in an engineering
ing
ation
project development
activities
team
EEE 369 Professional Practice, Engineers and Society
A. Course General Information:
Course Code:
EEE 369
Course Title:
Professional Practice, Engineers and Society
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
School/Program Core
Type:
Required, Engineering , Lecture
Prerequisites:
ENG 102 English Composition
HUM 103 Ethics and Culture
Co-requisites:
None
Credit requirements:
At least 65 credit hours completed
Equivalent Course
ECE 369 Professional Practice, Engineers and
Society
B. Course Catalog Description (Content):​
This course is designed to introduce undergraduate engineering students to the
concepts, theory and practice of engineering professional ethics in the global and
social context of contemporary engineering practices. This course will help students
to explore what engineers do, to understand the social, political, legal, and economic
responsibility and accountability of the engineering profession as well as how
engineering practice plays vital role in the development of sustainable growth. It will
also allow students how to apply classical moral theory and take informed ethical
decisions in engineering issues encountered in professional careers. The
assessment of this course will be based on case-study and assignment based
reports.,presentations only
​
C. Course Objectives:​
The objectives of this course are to​
a. Enable student to understand their role and responsibilities as engineering
professionals through gaining knowledge of moral values, philosophies, professional
code of ethics and practices​
b. Prepare students to be able to take informed ethical decisions when confronted
with problems in the working environment​
c. Develop students’ ability to assess the impact of engineering solutions in the
broader societal and environmental context​
d. Enable students to evaluate the sustainability of engineering solutions​
e. Improve students’ communication skills in regard to ethical and professional
issues in engineering practice
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
Course Outcome
CO1
Identify and value the responsibility of the engineers in regard to
social, cultural, economic, legal, health, safety and welfare relevant to
electrical and electronic engineering solutions and practice.
CO 2
Evaluate the sustainability and impact of the electrical and electronic
engineering solutions in the broader societal and environmental
context
CO 3
Resolve competing and complex ethical issues related to the
electrical and electronic engineering solutions and professional
practices
CO4
Communicate effectively with regard to ethical, professional, societal
and environmental issues in electrical and electronic engineering
practices and solutions.
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
CO1
Identify and value the
f
Cognitive/
Lecture
Assignmen
responsibility of the
Analyze,
notes,
t, Case
engineers in regard to
Affective/
class room
study
social, cultural,
Valuing
discussion
report
economic, legal,
and/or
health, safety and
presentatio
welfare relevant to
n
electrical and
electronic engineering
solutions and practice.
CO 2
Evaluate the
g
Cognitive/
Lecture
Assignmen
Evaluate
notes,
t, Case
impact of the electrical
class room
study
and electronic
discussion
report
sustainability and
engineering solutions
and/or
in the broader societal
presentatio
and environmental
n
context
CO 3
Resolve competing
Affective/
Lecture
Assignmen
Valuing
notes,
t, Case
issues related to the
class room
study
electrical and
discussion
report
and complex ethical
h
electronic engineering
and/or
solutions and
presentatio
professional practices
n
CO4
Communicate
j
Affective/
Lecture
Written
effectively with regard
Valuing​
notes,
report, Oral
to ethical,
Psychomot
class room
presentatio
professional, societal
or/
discussion
n
and environmental
Precision
issues in electrical and
electronic engineering
practices and
solutions.
EEE 373 Embedded System Design – v3​
EEE 365 Microprocessor and Interfacing – v1, v2​
EEE 373L Embedded System Design Laboratory – v3​
EEE 366 Microprocessor and Interfacing Lab. (1.5 credits) – v1, v2
A. Course General Information:
Course Details
Course Code:
EEE 373
EEE 373L
Course Title:
Embedded System Design
Embedded System Design Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 103 Computer Programming
EEE 283 Digital Logic Design
EEE 283L Digital Logic Design Laboratory
Co-requisites:
None
Equivalent Course
ECE 373 Embedded System Design
EEE 365 Microprocessor and Interfacing – v1,
v2
ECE 365 Microprocessor and Interfacing – v1,
v2
ECE 373L Embedded System Design
Laboratory
EEE 366 Microprocessor and Interfacing Lab.
(1.5 credits) – v1, v2
ECE 366 Microprocessor and Interfacing Lab.
(1.5 credits) – v1, v2
B. Course Catalog Description (Content):​
This course the fundamentals of embedded system hardware and firmware design
will be explored. An overview of GCC fundamental, Assembly and C language
programming is provided. This is followed by an in-depth discussion of different
peripheral modules of the Microcontroller, such as, Analogue to Digital Converter
(ADC); Interrupts; Timers/Counters, and their applications in the design of various
Microcontroller based systems such as, Signal Generation; Motor Control; Sensor
and Transducers; Serial Communication, Integrating Bluetooth Module; Integrating
WiFi Module; Integrating GSM Module; Introduction to Raspberry pi module and
Python; Fundamental of IoT; Programming Node MCU; IoT Server setup; The course
will culminate with a significant final project on IoT. This course has separate 3
hours/week mandatory laboratory session.
C. Course Objective:​
The objectives of this course are to:​
a. familiarize students with the basic architecture of microprocessor and
microcontrollers, and provide them with a sound understanding of different peripheral
modules, their operation mechanism and interfacing with external devices for various
applications.​
b. enable the students to develop the ability to design and implement
microcontroller-based embedded systems using state-of-the-art software tools.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Explain the basic architecture and operation of microprocessor and
microcontrollers, peripheral modules, as well as their interfacing with
CO2
Apply the major peripherals of the AVR microcontrollers to solve
problems in interfacing to electronic devices.
CO3
Design microcontroller based embedded systems that meets
specified requirements
CO4
Use appropriate hardware and software tools to develop embedded
systems
CO5
Demonstrate the embedded system design concept, process and
findings to the broader audience through reports and presentations
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
EEE 373 Embedded System Design
CO1
Explain the basic
architecture and
operation of
microprocessor and
microcontrollers,
peripheral modules,
as well as their
interfacing with
external devices for
various applications
a
Cognitive /
Lectures,
Quiz,
Understand
notes
Assignment
, Exam
CO2
Apply the major
a
peripherals of the
Cognitive /
Lectures,
Quiz,
Apply
notes
Assignment
microcontrollers to
, Exam
solve problems in
interfacing to
electronic devices.
EEE 373L Embedded System Design Laboratory
CO3
Design
c
microcontroller based
Cognitive /
Lectures,
Create
notes
embedded systems
Design
that meets specified
Project
Project
requirements
CO4
Use appropriate
hardware and
e
Cognitive/
Lectures,
Lab Work,
Apply,
notes Lab
Lab Exam,
sessions
Project
software tools to
develop embedded
Psychomot
systems
or/
Precision
CO5
Demonstrate the
j
Psychomot
Lab
Project
embedded system
or/
sessions,
Report,
design concept,
Precision
Design
Presentatio
process and findings
Affective /
Project
n
to the broader
Valuing
Edition
Publisher
ISBN
Xth Ed
Prentice
audience through
reports and
presentations
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
n Year
1
The AVR
M. A.
2011
microcontrolle
Mazidi, S.
Hall
r and
Naimi and
(PEARSO
embedded
S. Naimi
N)
System –
Using
Assembly and
C
2
Embedded C
Richard H.
Programming
Barnett,
Cengage
and the Atmel
Sarah
Learning
AVR
2007
2nd Ed
Delmar
Cox, Larry
O'Cull
EEE 382 Modelling and Simulation
A. Course General Information:
Course Code:
EEE 382
Course Title:
Modelling and Simulation
Credit Hours (Theory +
0+1
Laboratory):
Contact Hours (Theory +
0+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Laboratory
Prerequisites:
EEE 282 Numerical Techniques
EEE 305 Control System
EEE 305L Control System Laboratory
EEE 308 Electronic Circuit II
EEE 308L Electronic Circuit II Laboratory
Equivalent Course
ECE 382 Modelling and Simulation
B. Course Catalog Description (Content)​
Modeling and Simulation is an essential tool for engineers for optimum design of
dynamic systems and the course introduces the students the fundamentals of
generating models of dynamic systems and implementation of the models using
computer simulations in order to gain insight of any existing systems and to design of
any system. The course essentially integrates and applies the knowledge gained in
diverse and apparently disparate ranges of courses: mathematics, programming
language, electrical and electronic circuit analysis, numerical techniques, signals and
systems, control systems etc. The course starts with the Introduction to modelling
and simulation, Principles of modelling in order to provide the fundamentals of
modelling of systems. It then continues with the standard forms for system models
and modelling of dynamic systems, which incorporate the following subsections:
generation of system equations, electrical systems, linearity and nonlinearity of
systems. Diverse methods of model representation: Differential equation, Laplace
equations, input/output equation, stochastic models, state-space model: state
variable formulation, nonlinear systems modeling are covered in the course.
Implementation of the models are realized using computer simulation with
MATLAB/Simulink. Finally, the following topics: introduction to system identification,
parameter estimation, and optimization with modeling of engineering problems will
enable the students to developing fundamental, but understanding of modelling and
simulation of any dynamic system.
C. Course Objective:​
The objectives of this course are to :​
a. Provide knowledge of the basic steps of modelling of dynamic systems.​
b. Enable students to generate mathematical equations from observation of the
behavior of the dynamic system.​
c. Enable the students to formulate state-space models.​
d. Provide the skills to linearize nonlinear models.​
e. Develop and employ the skills of simulation techniques to analyze/design, system
identification and parameter estimations of systems.​
f. Provide students with sound understanding and knowledge of programming and
efficient coding to implement different numerical methods and concepts.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Illustrate a linear system through differential equation, transfer
function, magnitude, impulse and step response
CO2
Apply the concept of state-space representation to model linear and
nonlinear systems
CO3
Demonstrate the linearization of nonlinear system models
CO4
Develop a suitable model for a given system, with proper reasoning of
the selection of model type and order, and compute the model error
CO5
Use appropriate simulation tools to simulate a given linear and
non-linear system or model
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s taxonomy
Delivery
Assessmen
domain/level
methods
t tools
and
activities
CO1
Illustrate a linear
Lab
Assignmen
system through
Lecture,
t, Lab
differential
Notes
Work, Lab
equation, transfer
function,
magnitude,
impulse and step
response
a
Cognitive/ Apply
Exam
CO2
Apply the
a
Cognitive/ Apply
Lab
Assignmen
concept of
Lecture,
t, Lab
state-space
Notes
Work, Lab
representation to
Exam,
model linear and
Project
nonlinear
systems
CO3
Demonstrate the
a
Cognitive/ Create
Lab
Assignmen
linearization of
Lecture,
t, Lab
nonlinear system
Notes
Work, Lab
models
CO4
Develop a
Exam
Lab
Assignmen
suitable model
Lecture,
t, Project
for a given
Notes
system, with
proper reasoning
of the selection
of model type
and order, and
compute the
model error
e
Cognitive/ Create
CO5
Use appropriate
e
Cognitive/ Apply
Lab
Assignmen
simulation tools
Psychomotor/Mani
Class,
t, Lab
to simulate a
pulation
Lectures,
Work, Lab
Tutorial
Exam,
given linear and
non-linear
Project
system or model
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
2nd
CRC
13:
Press
978-143983
n Year
1
Simulation
Harold
of Dynamic
Klee &
2011
Systems
6736
with
Randal
MATLAB
Allen
and
Simulink
2
Modeling
Charles
and Analysis
Lippincott
13:
M. Close,
Williams
978-812653
of Dynamic
Dean K.
& Wilkins
9291
Systems
Frederick,
Jonathan
C. Newel
2012
3rd
EEE 383 Electronic System Design
A. Course General Information:
Course Code:
EEE 383
Course Title:
Electronic System Design
Credit Hours (Theory +
0+1
Laboratory):
Contact Hours (Theory +
0+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Laboratory
Prerequisites:
EEE 308 Electronic Circuits II
EEE 308L Electronic Circuits II Laboratory
EEE 359 Engineering Project Management
Co-requisites:
None
Equivalent Course
ECE 383 Electronic System Design
B. Course Catalog Description (Content):​
This subject will explore the design of various electrical and electronic systems and
provide students with a range of common and practical design techniques and
circuits in the context of a laboratory based project. The course will start with the
basics of any electronic system – component selection, PCB Designing and
soldering. The students will then design subsystems which will include Phase-locked
loops and frequency synthesis, variable frequency oscillators, tunable filters, power
supply design with protection and sensor arrangements. The students will be
assigned with the responsibility to investigate the electronic sub-systems they have
learnt and incorporate two or more of them to design an electronic system of their
own in groups.
C. Course Objective:​
The objective of this course are to:​
a. Provide students with the basics of single and double layered Printed Circuit
Board (PCB) design and efficient component selection and bill of material
preparation​
b. Enable students to integrate different electrical and electronic subsystems to form
a full-fledged electronic system​
c. Introduce basic performance requirements of some common electronic
subsystems and provide hands-on experience in their design
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Design and Implement fully functional electronic system by
integrating different sub-systems
CO2
Demonstrate engineering project management and economic
decision-making skills in electronic system design project
CO3
Perform effectively as an individual as well as a member of a team to
develop electronic system design project
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO1
CO Description
Design and
POs
c
Implement fully
Bloom’s
Delivery
Assessmen
taxonomy
methods
t
domain/leve
and
l
activities
tools
Cognitive/
Lab Class
Project
Create
review
functional electronic
system by integrating
different sub-systems
CO2
Demonstrate
k
engineering project
Cognitive/
Lab class
Apply
Project
review
management and
economic
decision-making skills
in electronic system
design project
CO3
Perform effectively as
an individual as well
i
Affective/
Lab class
Valuing
Project
Review,
as a member of a
Peer-evalu
team to develop
ation
electronic system
design project
EEE 384 Electrical Service Design
A. Course General Information:
Course Code:
EEE 384
Course Title:
Electrical Service Design
Credit Hours (Theory +
0+1
Laboratory):
Contact Hours (Theory +
0+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Laboratory
Prerequisites:
EEE 321 Power Systems I
EEE 321L Power Systems I Laboratory
EEE 359 Engineering Project Management
EEE 369 Professional Practice, Engineers and
Society
Co-requisites:
None
B. Course Catalog Description (Content):​
This course introduces the design of electrical building services, i.e. electrical
systems and installations that provide power, movement, communication, comfort
and safety in modern buildings. The course will start with the idea of basic electrical
appliances, fitting and fixtures of a building. The students will learn how to design the
fitting and fixtures layout, conduit layout, switchboard and distribution board
connection diagram using AutoCAD. The students will also have a brief idea about
the rating of wires, building hazards, protecting devices, illumination and design of
substation. They will learn about total load calculation of a building, renewable
energy incorporation and electrical cost calculation. In the end, the students will be
assigned a project where they have to design the electrical systems of a building and
give a cost estimation based on the loads.
C. Course Objective:​
The objectives of this course are to​
a. help students understand the basic concept of fitting and fixture design, conduit
layout design and power supply distribution design​
b. enable students to develop a knowledge of cable ratings, substation design,
protecting devices and earthing and grounding​
c. provide students a basic idea of load calculation and cost estimation​
d. equip students with necessary skills to use AutoCAD to draw electrical
engineering drawings
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Design electrical service systems and installations of a building
considering given specifications and constraints and applicable
standards and codes
CO2
Assess the impact of health, safety, legal and societal issues in
designing of electrical service system of buildings
CO3
Assess the environmental impact and sustainability of the electrical
service design of buildings
CO4
Identify the professional ethics, responsibilities and norms of
engineering practices in electrical service design and installation
CO5
Communicate effectively with stakeholders of an electrical service
design project using appropriate technical report, drawings,
documentations etc.
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods and
t tools
domain/lev
activities
el
CO1
Design electrical
c
service systems and
Cognitive/
Lab class,
Assignment
Create
Discussion
, Project
Cognitive/
Discussion,
Assignment
Evaluate
Case study
, Project
Cognitive/
Discussion,
Assignment
Evaluate
Case study
, Project
installations of a
building considering
given specifications
and constraints and
applicable standards
and codes
CO2
Assess the impact of
f
health, safety, legal
and societal issues in
designing of electrical
service system of
buildings
CO3
Assess the
environmental impact
and sustainability of
the electrical service
design of buildings
g
CO4
Identify the
h
professional ethics,
Cognitive/
Discussion,
Project,
Understand
Case study
Case study
responsibilities and
report
norms of engineering
practices in electrical
service design and
installation
CO5
Communicate
j
Psychomot
Producing
design
effectively with
or/
design
drawing
stakeholders of an
Precision
drawing,
Report,
electrical service
preparing
presentatio
design project using
presentation
ns,
appropriate technical
s, reports,
report, drawings,
documentati
documentations etc.
ons etc.
F. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods and
t tools
domain/lev
activities
el
CO1
Design electrical
c
Cognitive/
Lab class,
Assignmen
Create
Discussion
t, Project
Cognitive/
Discussion,
Assignmen
Evaluate
Case study
t, Project
Cognitive/
Discussion,
Assignmen
Evaluate
Case study
t, Project
Cognitive/
Discussion,
Assignmen
professional ethics,
Understand
Case study
t, Project
responsibilities and
,
service systems and
installations of a
building considering
given specifications
and constraints and
applicable standards
and codes
CO2
Assess the impact of
f
health, safety, legal
and societal issues in
designing of electrical
service system of
buildings
CO3
Assess the
g
environmental impact
and sustainability of
the electrical service
design of buildings
CO4
Identify the
h
norms of engineering
practices in electrical
Affective/
Valuing
service design and
installation
CO5
Communicate
j
Psychomot
Producing
Project
effectively with
or/
design
(Reports
stakeholders of an
Precision
drawing,
and
electrical service
preparing
Presentatio
design project using
presentation
n)
appropriate technical
s, reports,
report, drawings,
documentati
documentations etc.
ons etc.
EEE 385 Machine Learning​
EEE 385IL Machine Learning Laboratory
A. Course General Information:
Course Code:
EEE 385
EEE 385IL
Course Title:
Machine Learning
Machine Learning Laboratory
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
STA 201 Elements of Statistics and Probability​
MAT 216 Mathematics IV Linear Algebra and
Fourier Analysis​
EEE 103 Computer Programming
Co-requisites:
None
Equivalent Course
ECE 385 Machine Learning
ECE 385IL Machine Learning Laboratory
B. Course Catalog Description (Content):​
Machine learning is the science of getting computers to act without being explicitly
programmed. In this class, students will learn about the most effective machine
learning techniques, and gain practice implementing them and getting them to work
for themselves. Students will learn about not only the theoretical underpinnings of
learning, but also gain the practical know-how needed to quickly and powerfully
apply these techniques to new problems. This course provides a broad introduction
to machine learning, data mining, and statistical pattern recognition. Topics include:
Supervised learning (parametric/non-parametric algorithms, support vector
machines, kernels, neural networks), Unsupervised learning (clustering,
dimensionality reduction, PCA), Neural Networks, Deep learning, Best practices in
machine learning (bias/variance theory; innovation process in machine learning and
AI). The course will also draw from numerous case studies and applications, so that
student will also learn how to apply learning algorithms to building smart robots
(perception, control), text understanding (web search, anti-spam), computer vision,
medical informatics, audio, database mining, and other areas. This course has 3
hours/week mandatory integrated laboratory session (EEE385IL).
C. Course Objective:​
The objectives of this course are to​
a. Introduce the core concepts and fundamental elements of machine learning.​
b. Provide students with sound understanding and knowledge of practical
applications of different forms of machine learning techniques.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Discuss the core concepts of Logistic Regression.
CO2
Analyze the performance of different machine learning algorithms
through various evaluation metrics.
CO3
Design neural network systems for classification, segmentation or
object detection from different forms of data.
CO4
Apply the knowledge of machine learning to develop practical problem
solving system.
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO1
CO Description
Discuss the core
POs
a
concepts of Logistic
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/leve
and
l
activities
Cognitive/
Lecture,
Quiz,
Understand
Notes
Assignmen
Regression.
CO2
Analyze the
performance of
different machine
learning algorithms
t, Exam
a
Cognitive/
Lecture,
Assignmen
Analyze
Notes
t, Exam,
Project
through various
evaluation metrics.
CO3
Design neural network
c
systems for
Cognitive/
Lecture,
Assignmen
Create
Notes
t, Project
Cognitive/
Lectures,
Assignmen
Apply
Tutorial
t, Lab
classification,
segmentation or
object detection from
different forms of data.
CO4
Apply the knowledge
a
of machine learning to
develop practical
Work,
problem solving
Project
system.
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
1st
O’ Reilly
13:
Media
978-149196
n Year
01
Hands-On
Aurélien
Machine
Géron
Learning
with
Scikit-Learn
2017
2299
and
TensorFlow.
02
Deep
François
Learning
Chollet
2017
1st
Manning
13:
Publicatio
978-161729
ns
4433
Apress
13:
with Python
03
MATLAB
Michael
Machine
Paluszek
2016
1st
Learning
978-148422
2492
Final Year Design Project
EEE 400 Final Year Design Project (6 Credits) – V1, V2​
EEE 499 Final Year Design Project (4 Credits) – V3
A. Course General Information:
Course Code and Title
Credit
Contact
Hours
Hours/Wee
Goal
Semester
Problem
Semester 1 of
Identification
final year
and Project
design project
k
EEE 400P Final Year
2
3
Design Project
EEE 499P Final Year
Proposal
1
Design Project
EEE 400D Final Year
2
3
Design Project
Design and
Semester 2 of
Development
final year
design project
EEE 499D Final Year
1.5
Design Project
EEE 400C Final Year
2
Design Project
EEE 499C Final Year
3
Validation and Semester 3 of
Project
final year
Completion
design project
1.5
Design Project
Category:
Program Core
Type:
Prerequisite
EEE 400P
s
Required, Engineering
MGT211,ACT201, EEE223, EEE224, EEE305,
EEE306, EEE341, EEE342, EEE343, EEE344,
EEE365, EEE366
EEE 400D
EEE 400P
EEE 400C
EEE 400 D
EEE 499P
EEE305, EEE305L, EEE341, EEE341L, EEE343,
EEE343L, EEE359, EEE369, EEE373, EEE373L,
EEE 382, EEE383, EEE384
EEE 499D
EEE 499P
EEE 499C
EEE 499D
Co-requisites:
None
Credit requirements:
At least 100 credit hours completed
B. Course Catalog Description (Content):​
The Final Year Design Project (FYDP) is the first step towards transferring students
experience from the academic environment to the industry. The course provides a
culminating assessment of the students by applying and integrating their previously
acquired knowledge to the solution of complex electrical and electronic engineering
problem. The primary focus of the Final Year Design Project is to improve the
students' technical skills, communication skills and teamwork opportunities through
an electrical and electronic engineering project development work. It also focuses on
variety of non-technical issues such as professional and ethical responsibilities and
practices, safety, reliability, legal cultural, social and environmental impacts as well
as sustainability of engineering solution
The Final Year Design Project course consists of two parts: Instructional Part and
Technical Demonstration Part. The major topics covered in the Instructional Part
include:​
• Overview of the Final Year Design Project course, student learning outcomes,
expectation, assessment, checklist etc.​
• Introduction to engineering design process including formulation of problem,
analysis of objectives, specifications and requirements, consideration of realistic
constraints, engineering standards and impact of engineering solutions, design of
solution, implementation, evaluation and validation of the solution​
• Review of project proposal preparation, estimating, project management and
scheduling etc.​
• Review of engineering ethics and professional practices​
• Safety in engineering design.​
• Contemporary issues and life-long learning​
• Report writing and presentation techniques​
• Teamwork building
The Technical Demonstration part primarily includes various activities including (but
not limited to):​
• Literature review and research​
• Identification and formulation of project problem​
• Analysis of objectives, specifications and requirements,​
• Project plan, proposal and management​
• Implementation of design process​
• Design reviews, simulation and finalization​
• Development of solution, testing and validation​
• Documentation, drawings, written reports, oral presentation etc.
C. Course Objectives:​
The objectives of the Final Year Design Project are to:​
a. Provide students opportunity to apply and integrate their previously acquired
engineering knowledge to the solution of engineering problem​
b. Enhance student’s creativity in analyzing and solving complex and possibly
real-world engineering problems.​
c. Train students with skills on systematic design and development process and
documentation to the solution of engineering project​
d. Prepare student to develop and enhance self-learning ability.​
e. Prepare students experience of engineering project development that will be
useful in their industrial careers.​
f. Aware students regarding professional practices, norms and ethical responsibilities
in regards to designing engineering solution​
g. Prepare student to understand and evaluate the impact of engineering solutions to
the society, health, safety, reliability, legal, cultural social​
h. Prepare students to understand and evaluate the sustainability and impact of
engineering solution towards environment​
i. Create an environment to promote team approach in engineering problem solving​
j. Develop communication skill among students through complex activities, technical
report writing, oral presentations etc.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Definition
CO1
Identify a solvable complex engineering problem preferably relevant
to the current and future industry through appropriate research
CO2
Identify the objectives, specifications, functional and non-functional
requirements, and constraints as well as applicable compliance,
standards and codes of practice to the solution of the engineering
problem
CO3
Assess the impact of the solution of the engineering project in terms
of societal, health, safety, legal and cultural context
CO4
Evaluate the sustainability and impact of solution of the proposed
project in terms of environmental consideration
CO5
Design multiple engineering solutions of the problem to meet the
desired objectives, need and requirements within the given
constraints
CO6
Analyze alternative design solutions of engineering problem in order
to find the most appropriate one considering cost, efficiency, usability,
manufacturability, impact, sustainability, maintainability etc.
CO7
Evaluate the performance of the developed solution with respect to
the given specifications, requirements and standards
CO8
Complete the final design and development of the solution with
necessary adjustment based on performance evaluation
CO9
Use modern engineering and IT tools to design , develop and
validate the solution
CO10
Conduct independent research, literature survey and learning of new
technologies and concepts as appropriate to design, develop and
validate the solution
CO11
Demonstrate project management skill in various stages of
developing the solution of engineering design project
CO12
Perform cost-benefit and economic analysis of the solution
CO13
Apply ethical considerations and professional responsibilities in
designing the solution and throughout the project development
phases
CO14
Perform effectively as an individual and as a team member for
successfully completion of the project
CO15
Communicate effectively through writings, journals, technical reports,
deliverables, presentations and verbal communication as appropriate
at various stages of project development
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
PO
Bloom’s
Assessment
Taxonomy
Tools
Domain/Level
CO1
Identify a solvable complex
engineering problem
preferably relevant to the
current and future industry
through appropriate
research
l
Cognitive/
· Project
Understand
Concept Note
CO2
Identify the objectives,
c
specifications, functional
Cognitive/
· Project
Apply
Concept Note
Cognitive/
· Project
Evaluate
Proposal Report
Cognitive/
· Project
Evaluate
Proposal Report
Cognitive/
· Design
Create
Report
and non-functional
requirements, and
constraints as well as
applicable compliance,
standards and codes of
practice to the solution of
the engineering problem
CO3
Assess the impact of the
f
solution of the engineering
project in terms of societal,
health, safety, legal and
cultural context
CO4
Evaluate the sustainability
g
and impact of solution of the
proposed project in terms of
environmental consideration
CO5
Design multiple engineering
solutions of the problem to
meet the desired objectives,
need and requirements
within the given constraints
c
CO6
Analyze alternative design
b
solutions of engineering
Cognitive/
· Design
Evaluate
Report
Cognitive/
·
Evaluate
Demonstration
problem in order to find the
most appropriate one
considering cost, efficiency,
usability, manufacturability,
impact, sustainability,
maintainability etc.
CO7
Evaluate the performance of
d
the developed solution with
respect to the given
of working
specifications, requirements
prototype
and standards
· Project
Progress Report
on working
prototype
CO8
Complete the final design
and development of the
c
Cognitive/
· Project Final
Create
Report
solution with necessary
adjustment based on
· Final
performance evaluation
Presentation
·
Demonstration
at FYDP
Showcase
CO9
Use modern engineering
e
Cognitive/
· Design
and IT tools to design ,
Understand,
Report
develop and validate the
Psychomotor/
solution
Precision
· Project Final
Report
CO10
Conduct independent
l
research, literature survey
Cognitive/
· Design
Apply
Report,
and learning of new
technologies and concepts
· Project Final
as appropriate to design,
Report
develop and validate the
solution
CO11
Demonstrate project
Cognitive/
· Project
Apply
Proposal Report
solution of engineering
Affective/
· Design
design project
Valuing
Report
management skill in various
k
stages of developing the
· Project Final
Report
· Project
Progress
presentation at
various stages
CO12
Perform cost-benefit and
k
Cognitive/
· Project Final
Apply
Report
Cognitive/
·
Apply
Peer-evaluation,
the solution and throughout
Affective/
· Instructor’s
the project development
Valuing
Assessment
economic analysis of the
solution
CO13
Apply ethical considerations
h
and professional
responsibilities in designing
phases
· Final Report
CO14
Perform effectively as an
Affective/
·
individual and as a team
Characterizati
Peer-evaluation
member for successfully
on
completion of the project
i
· Instructor’s
Assessment
CO15
Communicate effectively
Cognitive/
· Project
Understand
Concept Notes,
deliverables, presentations
Psychomotor/
· Project
and verbal communication
Precision
Proposal Report
Affective/
· Design
Valuing
Report, Project
through writings, journals,
j
technical reports,
as appropriate at various
stages of project
development
Final Report
· Progress
Presentations,
· Final
Presentation
·
Demonstration
at FYDP
Showcase
Program Elective Courses
Career Opportunities
Explore limitless possibilities and shape your future with our Electrical and Electronic
Engineering (EEE) program at BRAC University. Our EEE alumni have not only
excelled in their careers but have also made groundbreaking contributions to various
industries, including space technology, the power sector, electronics, and robotics.​
​
One of our proudest achievements is the first nanosatellite of Bangladesh, BRAC
Onnesha, designed and developed by our alumni. This remarkable feat showcases
our commitment to nurturing innovative thinkers and problem solvers. The BRAC
Onnesha satellite is a testament to the potential and expertise that our EEE
graduates possess. Some of our distinguished alumni work on prestigious projects
such as the Bangabandhu Satellite. Others have forged their path as entrepreneurs,
with several becoming CEOs of different companies. The EEE program's
comprehensive education equips students with the skills and knowledge needed to
thrive in diverse fields.​
​
In the world of tech giants, our alumni have left their mark, with graduates employed
at Intel, Google, Adidas, and more. They have also excelled in local industries,
including Walton, Therap-BD, Neural Semiconductor, Energypac, Augmedix, and
Ulka-Semi, making valuable contributions to the growth of these organizations. Their
remarkable
contributions
to
the
semiconductor
industry
and
cutting-edge
technologies have solidified their positions as leaders in their respective fields.​
​
Join us and embark on a journey of excellence, innovation, and endless possibilities.
Discover your potential and create a successful future in the dynamic fields of
electrical and electronic engineering. Your success story could be the next one to
inspire future generations of EEE students.
Placement and Further Study Opportunities
Look no further than BRAC University for your EEE or ECE career start! Our
innovative programs will provide you with the knowledge and skills you need to
succeed and open doors to interesting placement and study opportunities. EEE and
ECE students should take advantage of many networking opportunities because we
prioritize hands-on education. Our relationship with industry specialists such as
Walton and Neural Semiconductor allows us to offer hands-on experience that
enhances your education. Our extensive professional network through the faculties
can also provide job openings and real-world projects.
Students leave our EEE and ECE programs well-prepared for their further studies.
Our international connections with top academic institutions such as Kyushu Institute
of Technology, Japan and research organizations will enable collaborative research.
Our MScEEE and MENGGEEE programs cover renewable energy, Control &
Applications.
BRAC University helps students reach their potential with resources and support.
Our EEE and ECE programs will prepare you for a successful profession and study
possibilities in the US, Canada, Europe and abroad. Explore the endless possibilities
of electrical and electronic engineering with us today!
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Switchgear & Protection Lab ​
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Tel: +88 09638464646 Ext. 1001 for operator
Email: info@bracu.ac.bd
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Course Description
General Education (Language, Arts, Humanities, Social Sciences, Business
And Others)
ENG 101 English Fundamentals
A. Course General Information:
Course Code:
ENG101
Course Title:
English Fundamentals
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
Laboratory):
3+0
Category:
GED
Type:
Required, Language/Writing, Lecture
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
The English Fundamentals (ENG 101) course covers all four skills of English
language required for students’ basic academic and professional needs.
Classroom tasks aim at promoting specific language skills (e.g. analyzing
reading texts, writing academic papers, delivering PowerPoint presentations,
etc.). The core objectives are integrated through different lessons. Speaking
classes help students improve their Communication Skills. The Reading &
Writing classes have a good number of selected reading materials covering a
wide range of topics to help students develop Global Thinking and basic
Quantitative Skills. Two different types of essays - Argumentative Essay and
Response Essay, and presentations such as, Poster presentation,
Advertisement Presentation, Debate on Climate Change, and Argumentative
Presentation, aim at improving Critical Thinking in students.
C. Course Outcomes:
Upon Successful completion of the course, students will be able to:
●​ Apply reading skills such as skimming and scanning
●​ Enhance vocabulary stock (from reading materials and discussion) and
analyze their contextual meanings
●​ Comprehend and analyze critically on selected topics and express
opinions with proper examples and evidence in both writing and
speaking tasks
●​ Write well-organized academic essays maintaining coherence and unity
●​ Prepare and deliver formal speeches individually or in group by
maintaining appropriate art of speaking with correct pronunciation,
pitch, stress, intonation, etc
●​ Demonstrate improvement in group effectiveness: sharing the floor,
sharing tasks, acknowledging the contributions of others, giving and
receiving constructive feedback
D. Suggested Text and Reference Book:
●​ Richards, "Fundamentals of English"
ENG 102 English Composition
A. Course General Information:
Course Code:
ENG102
Course Title:
English Composition
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
Laboratory):
3+0
Category:
GED
Type:
Required, Language/Writing, Lecture
Prerequisites:
ENG102 English Fundamentals
Co-requisites:
None
B. Course Catalog Description (Content):
The main focus of this course is writing. The course attempts to enhance
students’ writing abilities through diverse writing skills and techniques.
Students will be introduced to aspects of expository writing: personalized/
subjective and analytical/persuasive. In the first category, students will write
essays expressing their subjective viewpoints. In the second category
students will analyze issues objectively, sticking firmly to factual details. This
course seeks also to develop students’ analytical abilities so that they are able
to produce works that are critical and thought provoking.
C. Course Outcomes:
It is expected that after completing this course, students will be able to:
●​ Exercise academic reading skills in distinguishing styles with respect to
formality, abstraction, word choice and multiple perspectives
●​ Evaluate articles about social issues using Critical Reading Skills
●​ Gain first-hand knowledge of research methods
●​ Investigate and present a problem based project
Use effective communicative strategies and skills (both in spoken and written
form) in different contexts
D. Suggested Text and Reference Book:
●​ Steinbeck, "The Pearl", 1st ed., Penguin Books, 2000.
●​ Thomas Cruisius and Carolyn Channell, "Aims of Argument", 3rd
edition, Mayfield Publishing Company, 2000.
●​ Betty Mattix Dietsch, "Reasoning & Writing Well", McGraw-Hill, 2003.
BNG 103 Bangla Language and Literature
A. Course General Information:
Course Code:
BNG103
Course Title:
Bangla Language andLiterature
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
GED
Type:
Required, Language/Arts and Humanities,
Lecture
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
C. Suggested Text and Reference Book:
HUM 103 Ethics and Culture
A. Course General Information:
Course Code:
HUM103
Course Title:
Ethics and Culture
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
GED
Type:
Required, Arts and Humanities, Lecture
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
This course introduces the students to principles and concepts of ethics and
their application to our personal life. It establishes a basic understanding of
social responsibility, relationship with social and cultural aspects, and
eventually requires each student to develop a framework for making ethical
decision in his work. Students learn a systematic approach to moral
reasoning. It focuses on problems associated with moral conflicts, justice, the
relationship between rightness and goodness, objective vs. subjective, moral
judgment, moral truth and relativism. It also examines personal ethical
perspectives as well as social cultural norms and values in relation to their use
in our society. Topics include: truth telling and fairness, objectivity vs.
subjectivity, privacy, confidentiality, bias, economic pressures and social
responsibility, controversial and morally offensive content, exploitation,
manipulation, special considerations (i.e. juveniles, courts) and professional
and ethical work issues and decisions. On conclusion of the course, the
students will be able to identify and discuss professional and ethical
concerns, use moral reasoning skills to examine, analyze and resolve ethical
dilemmas and distinguish differences and similarities among legal, ethical and
moral perspectives.
C. Suggested Text and Reference Book:
●​ Ingram and J. A. Parks, "Understanding Ethics", Alpha, 2002.
●​ John R. Boatright, "Ethics and the Conduct of Business", 4th edition,
Pearson Education, New Delhi, 2003.
●​ Manuel G. Velasquez, "Business Ethics: Concepts and Cases", 5th
Edition, Pearson Education, New Delhi, 2002.
●​ William Lillie, "An Introduction to Ethics", 3rd Edition, Methuen & Co.
Ltd. London, 1964. 4. Donald C. Abel, "Fifty Readings in Philosophy",
2nd Edition, McGraw-Hill, New York, 2004.
●​ Nigel Warburton, "Philosophy Basics", 3rd Edition, Routledge, 1999.
●​ Peter Singer, "Practical Ethics", 2nd Edition, The Press Syndicate of the
University of Cambridge, 2000.
EMB 101 Emergence of Bangladesh
A. Course General Information:
Course Code:
EMB101
Course Title:
Emergence of Bangladesh
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
GED
Type:
Required, Social Sciences, Lecture
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
The Emergence of Bangladesh course has been designed for students to
understand their historic and cultural roots as citizens of this land. It
documents the struggles against colonial oppression, political and ethnic
subordination, cultural domination and economic exploitation over the last two
centuries that have eventually given rise to our independent country. The
course traces the history of Bengal from the British conquest through
treachery and military might, the pillage and plunder they carried out, the
de-industrialization and impoverishment that resulted from their policies, to
the active political struggles (both armed and non-violent) for freedom and
independence, the development of a national consciousness, the false hopes
of Pakistan, the struggles against the oppression of the military-bureaucratic
state of Pakistan to finally the genocide we faced and subsequently our victory
as an independent Bangladesh.
C. Course Objectives
The course intends to equip students with factual knowledge and analytical
skills to learn and critically appreciate the antecedents of the history, politics,
and economy of Bangladesh. The course seeks to assist students in using
such analytical knowledge of their historical roots to better understand and
relate to people‟s struggles in different countries and contexts to build more
democratic, inclusive, multi-cultural societies that pursue social, ecological
and gender justice. Students will also be encouraged to reflect on the
principles of democracy, economic justice, secularism and respect for ethnic
differences that united us to struggle for a free country and relate such
principles to formulating their own vision for the future.
D. Course Outcomes:
On successful completion of the course, students are expected to be able to:
●​ Describe specific stages of Bangladesh‟s political history, through the
British colonial period and the Pakistan period till the emergence of
Bangladesh.
●​ Identify the major struggles for economic and political freedom during
the British and Pakistan periods. Understand the economic exploitation
and the extraction of surplus by both the British and the Pakistan state
as well as the oppression of the zamindars.
●​ Analyze how the capitalist development model pursued by Pakistan
created the income and regional inequalities that led to its own
destruction.
●​ Understand our War of Independence both in terms of the genocide that
Pakistan committed as well as the political and armed struggles we
engaged in.
●​ Articulate how the four principles of the Bangladesh constitution –
socialism, democracy, secularism and nationalism – provides the basis
for envisioning a future Bangladesh.
Mathematics And Sciences
MAT 110 Mathematics I Differential Calculus and Co-ordinate Geometry
A. Course General Information:
Course Code:
MAT110
Course Title:
Mathematics I Differential Calculus and
Co-ordinate Geometry
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
Laboratory):
3+0
Category:
School Core/GED
Type:
Required, Mathematics and Science, Lecture
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
Differential Calculus: Limits. Continuity and differentiability. Successive
differentiation of various types of functions. Leibniz's Theorem. Rolle's
theorem. Mean Value theorem. Taylor's theorem in finite and infinite forms.
Maclaurin's theorem in finite and infinite forms. Lagrange's form of
remainders. Expansion of functions. Evaluation of indeterminate forms by
L'Hôpitals rule. Partial differentiation. Euler's theorem. Tangent and normal.
Subtangent and subnormal in Cartesian and polar coordinates. Determination
of maximum and minimum values of functions and points of inflexion.
Application. Curvature. Radius of curvature. Centre of curvature.​
​
Coordinate Geometry: Change of axes. Transformation of coordinates.
Simplification of equation of curves. Pair of straight lines. Conditions under
which general equations of the second degree may represent a pair of straight
lines. Homogeneous equations of the second degree. Angle between the pair
of lines. Pair of lines joining the origin to the point of intersection of two given
curves. System of circles; orthogonal circles. Radical axes, radical centre,
properties of radical axes, coaxial circles and limiting points. Equations of
ellipse and hyperbola in Cartesian and polar coordinates. Tangent and normal.
Pair of tangent. Chord of contact. Chord in terms of its middle points,
parametric coordinates. Diameters. Conjugate diameters and their properties.
Director circles and asymptotes.
C. Course Objectives and Outcomes:
●​ To find the rate at which one quantity changes relative to another.
●​ To understand the concept of limits, continuity, differentiability and
optimization.
●​ To learn some of the important theorems with applications.
●​ To provide students with a good understanding of the concepts of two
dimensional geometry
D. Suggested Text and Reference Book:
●​ A Text Book on Coordinate geometry and Vector Analysis by Kosh
Mohammad.
●​ L. Loney, "The Elements of Coordinate Geometry", Nelson Thornes
●​ Anton, H. Bivens, I. Davis, S. Calculus 10th edition, John Wiley and Sons
Inc., 2012.
●​ Stewart, J. Calculus 8th edition, Cengage Learning, 2016.
MAT 120 Mathematics II Integral Calculus and Differential Equations
A. Course General Information:
Course Code:
MAT120
Course Title:
Mathematics II Integral Calculus and
Differential Equations
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
School Core
Type:
Required, Mathematics and Science, Lecture
Prerequisites:
MAT 110 Mathematics I
Co-requisites:
None
B. Course Catalog Description (Content):
Integral Calculus: Definitions of integration. Integration by the method of
substitution. Integration by parts. Standard integrals. Integration by method of
successive reduction. Definite integrals, its properties and use in summing
series. Walli's formula. Improper integrals. Beta function and Gamma function.
Area under a plane curve in cartesian and polar coordinates. Area of the
region enclosed by two curves in cartesian and polar coordinates. Trapezoidal
rule. Simpson's rule. Arc lengths of curves in cartesian and polar coordinates,
parametric and pedal equations. Intrinsic equations. Volumes of solids of
revolution. Volume of hollow solids of revolutions by shell method. Area of
surface of revolution.
Ordinary Differential Equations: Degree of order of ordinary differential
equations. Formation of differential equations. Solution of first order
differential equations by various methods. Solutions of general linear
equations of second and higher order with constant coefficients. Solution of
homogeneous linear equations. Applications. Solution of differential equations
of the higher order when the dependent and independent variables are absent.
Solution of differential equations by the method based on the factorization of
the operators.
C. Course Objectives and Outcomes:
●​ To know how to calculate antiderivatives and to understand the relation
between derivatives and antiderivatives.
●​ To learn the applications of Integral Calculus for single variable.
●​ To provide a platform in obtaining necessary basic information
regarding ordinary differential equations.
●​ To understand the classifications of ordinary differential equations,
several methods and techniques to solve these equations.
D. Suggested Text and Reference Book:
●​ Anton, H. Bivens, I. Davis, S. Calculus 10th edition, John Wiley and Sons
Inc., 2012.
●​ Zill, D.G. A First Course in Differential Equations with Modeling
Applications, 9th ed. Brooks/Cole, Cengage Learning, 2009.
●​ Don, Mathematica, Second Edition, McGraw-Hill, 2009 (For Practical)
MAT 215 Mathematics III Complex Variables and Laplace Transformations
A. Course General Information:
Course Code:
MAT215
Course Title:
Mathematics III Complex Variables and Laplace
Transformations
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
School Core
Type:
Required, Mathematics and Science, Lecture
Prerequisites:
MAT 120 Mathematics II
Co-requisites:
None
B. Course Catalog Description (Content):
Complex Variables: Complex number systems. General functions of a complex
variable. Limits and continuity of a function of complex variables and related
theorems. Complex differentiation and Cauchy–Riemann equations. Mapping
by elementary functions. Line integral of a complex function. Cauchy's
theorem. Cauchy's integral formula. Liouville's theorem. Taylor's and Laurent's
theorem. Singular points. Residue. Cauchy's residue theorem. Evaluation of
residues. Contour integration. And conformal mapping.
Laplace Transformations: Definition. Laplace transformations of some
elementary functions. Sufficient conditions for existence of Laplace
transforms. Inverse Laplace transforms. Laplace transforms of derivatives.
The unit step function. Periodic function. Some special theorems on Laplace
transforms. Partial fractions. Solutions of differential equations by Laplace
transforms. Evaluation of improper integrals.
C. Course Objectives and Outcomes:
• To know about complex number system in details.​
• To introduce with the basic theorems and their applications in engineering
problems.​
• To learn Laplace and Inverse Laplace transforms with their applications in
solving higher order ordinary differential equations.
D. Suggested Text and Reference Book:
• BROWN, J.W., CHURCHILL, R.V. COMPLEX VARIABLES AND APPLICATIONS,
8TH ED. MCGRAW-HILL, 2009.​
• ZILL, D.G. A FIRST COURSE IN DIFFERENTIAL EQUATIONS WITH MODELING
APPLICATIONS, 9TH ED. BROOKS/COLE, CENGAGE LEARNING, 2009.​
• KREYSZIG, E. ADVANCED ENGINEERING MATHEMATICS, 10TH ED. JOHN
WILEY & SONS INC., 2011.
MAT 216 Mathematics IV Linear Algebra and Fourier Analysis
A. Course General Information:
Course Code:
MAT216
Course Title:
Mathematics IV Linear Algebra and Fourier
Analysis
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
School Core
Type:
Required, Mathematics and Science, Lecture
Prerequisites:
MAT 215 Mathematics III
Co-requisites:
None
B. Course Catalog Description (Content):
Linear Algebra: Matrices. Algebra of matrices. Adjoint and inverse of a matrix.
Elementary transformations of matrices. Rank and Nullity. Normal and
canonical forms. Solution of linear equations. Vector spaces, Linear
dependence, and independence of vectors. Definition of line, surface and
volume integrals. Gradient, divergence and curl of point functions. Various
formulae. Gauss's theorem, Stroke's theorem, Green's theorem.
Fourier Analysis: Real and complex form. Finite transform. Fourier integral.
Fourier transforms and their uses in solving boundary value problems.
C. Course Objectives and Outcomes:
●​ To provide students with a good understanding of the concepts and
methods of linear algebra.
●​ To learn about matrices, determinant, vector spaces and linear
transformations with applications.
●​ To understand the theories and applications of Integral Calculus for
multivariable and Vector Calculus.
●​ To know the basic concepts of Fourier series, Fourier integral and
Fourier transforms with applications.
D. Suggested Text and Reference Book:
●​ Anton, H., Rorres, C. Elementary Linear Algebra, Applications Version
11th ed. Wiley 2013
●​ Kreyszig, E. Advanced Engineering Mathematics, 10th ed. John Wiley &
Sons Inc., 2011.
●​ Brown, J.W., Churchill, R.V. Fourier Series and Boundary Value
Problems, 7th ed. McGraw-Hill, 2008.
●​ Spiegel, M.R. Schaum's Outline of Theory and Problems of Fourier
Analysis with Applications to Boundary Value Problems, McGraw-Hill
Inc., 1974.
STA 201 Elements of Statistics and Probability
A. Course General Information:
Course Code:
STA201
Course Title:
Elements of Statistics and Probability
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
School Core/GED
Type:
Required, Mathematics and Science, Lecture
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
Introduction to Statistics & Representation of Data. Central Tendency &
Measures of Dispersion: Mean (Arithmetic, Geometric, Harmonic, Weighted),
Median, Mode, Quartiles. Range, Deviation (Quartile, Mean, Standard),
Variance, Coefficient of Variation, Skewness, Kurtosis. Correlation &
Regression: Correlation, Scatter Diagram, Correlation Coefficient with
interpretation. Regression Analysis, Linear Regression Model, Estimation of
Parameters, Least Square Regression. Set Theory & Basics of Probability,
Bayes' Theorem. Set theory concepts, Relation of set theory with probability,
Probability basics (addition, multiplication, simultaneous incidents,
dependent/independent incidents etc). Conditional probability
(dependent/independent cases), Bayes’ theorem (with application examples).
Random Variables, Joint Probability, Marginalization, Expectation of Random
Variables. Random variable basics, Product rule of random variables, Joint
probability, Basics of marginalization of probability. More on joint distribution
(marginalization and other stuff), Basics of conditioning on random variables,
Expectation of random variables, Linearity of expectations. Probability
Distributions: Discrete Probability distribution basics (Binomial, Poisson,
Geometric) with proper graphs. Continuous Probability distribution basics
(Normal, Exponential) with proper graphs. Basic ideas of Hypothesis testing
and Different kinds of testing. Shannon Entropy & Marginalization of 2 or more
Random Variables. Shannon information content, Shannon Entropy.
Information divergence, Marginalization of random variables. Conditioning on
Random Variables, Bayes' Rule for Random Variables, Conditional
Independence. More on conditioning on random variables, Bayes' rule for
random variables. Conditional independence, Mutual vs Pairwise
independence. Decision Making: Intro to decision making, Maximum
Likelihood . Medical Diagnosis Risk. Maximum A Posteriori (MAP) Estimation.
Introduction to Different Models: Intro to Hidden Markov Model, Introduction to
Naive Bayes Model. Sampling and Review of the Course.
C. Course Objectives and Outcomes
The main objective of the course is to make familiar with the basic concepts of
statistics and its applications for life science and engineering students.
Attempts will be made to provide a clear, concise understanding of the
fundamental features and methods of statistics along with relevant
interpretations and applications for conducting quantitative analyses. This
course will help students to develop skills in thinking and analyzing a wide
range of problem in the field of life science and engineering from a
probabilistic and statistical point of view.
At the end of this course, students will be able to:
●​ Develop fundamental concepts of probability and statistics commonly
used in life sciences, engineering and other fields.
●​ Evaluate various quantities for probability distributions and random
variables.
●​ Perform statistical computations & interpret the outcomes effectively.
●​ Develop probabilistic and statistical models for some applications, and
a
Statistical method to a range of problems in life sciences,
engineering and other fields.
●​ Comprehend the theoretical foundations that leads to choosing the
appropriate analysis (i.e. hypothesis testing).
​
D. Suggested Text and Reference Book:
●​ Applied Statistics for Engineers and Scientists, 3rd edition, Devore J.
Farnum N., Duxbury.
●​ Probability and Statistics in Engineering, 4th edition, William W. Hines,
Douglas C. Montgomery, David M. Goldsman and Connie M. Borror,
Wiley.
●​ A First Course in Probability, 9th edition, Sheldon M. Ross (2018).
●​ Probability and Random Processes, 3rd edition, G. R. Grimmett and D.
R. Stirzaker,Oxford University Press (2001)
●​ Probability and Statistical Inference, 9th edition, R. V. Hogg and E. A.
Tanis Prentice Hall, (2007)
●​ Foundations of Biostatistics, 1st edition. Springer, New York. M.
Ataharul Islam, Abdullah Al-Sinha (2018).
●​ An Introduction to Statistics and Probability, 4th edition, M. Nurul Islam
(2017).
●​ Fundamentals of Probability & Probability Distributions, 4th edition,
Manindra Kumar Roy (2014).
PHY 111 Principles of Physics I
A. Course General Information:
Course Code:
PHY111
Course Title:
Principles of Physics I
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
School Core/GED
Type:
Required, Mathematics and Science, Lecture +
Laboratory
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
Vectors and scalars, unit vector, scalar and vector products, static equilibrium,
Newton's Laws of motion, principles of conservation of linear momentum and
energy, friction, elastic and inelastic collisions, projectile motion, uniform
circular motion, centripetal force, simple harmonic motion, rotation of rigid
bodies, angular momentum, torque, moment of inertia and examples, Newton's
Law of gravitation, gravitational field, potential and potential energy. Structure
of matter, stresses and strains, Modulii of elasticity Poisson's ratio, relations
between elastic constants, work done in deforming a body, bending of beams,
fluid motion and viscosity, Bernoulli's Theorem, Stokes' Law, surface tension
and surface energy, pressure across a liquid surface, capillarity. Temperature
and Zeroth Law of thermodynamics, temperature scales, their propagation,
differential equation of wave motion, stationary waves, vibration in strings
isotherms, heat capacity and specific heat, Newton's Law of cooling, thermal
expansion, First Law of thermodynamics, change of state, Second Law of
thermodynamics, Carnot cycle, efficiency, kinetic theory of gases, heat
transfer. Waves & & columns, sound wave & its velocity, Doppler effect, beats,
intensity & loudness, ultrasonics and its practical applications. Huygens'
principle, electromagnetic waves, velocity of light, reflection, refraction,
lenses, interference, diffraction, polarization..
C. Course Objectives and Outcomes:
By the end of this course, the students will be able to:
●​ Describe and explain the introductory mechanics principles.
●​ Apply these principles together with logical reasoning to real life
situations.
●​ Analyze and solve problems with the aids of mathematics.
●​ Acquire and interpret experimental data to examine the mechanical laws
D. Suggested Text and Reference Book:
• Fundamentals of Physics. Author: Halliday, Resnick & Walker (10th Edition,
Extended).​
• University Physics by F. W. Sears, M. W. Zemansky and H. D. Young.
PHY 112 Principles of Physics II
A. Course General Information:
Course Code:
PHY112
Course Title:
Principles of Physics II
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
School Core
Type:
Required, Mathematics and Science, Lecture +
Laboratory
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
Electric charge, Coulomb's Law, electric field & flux density, Gauss's Law,
electric potential, capacitors, steady current, Ohm's law, Kirchhoff's Laws.
Magnetic field, Biot-Savart Law, Ampere's Law, electromagnetic induction,
Faraday's Law, Lenz's Law, self inductance and mutual inductance, alternating
current, magnetic properties of matter, diamagnetism, paramagnetism and
ferromagnetism. Maxwell's equations of electromagnetic waves, transmission
along wave-guides. Special theory of relativity, length contraction and time
dilation, mass-energy relation. Quantum theory, Photoelectric effect, x-rays,
Compton effect, dual nature of matter and radiation, Heisenberg uncertainty
principle. Atomic model, Bohr's postulates, electron orbits and electron
energy, Rutherford nuclear model, isotopes, isobars and isotones, radioactive
decay, half-life, alpha, beta and gamma rays, nuclear binding energy, fission
and fusion. Fundamentals of solid state physics, lasers, holography.
C. Course Objectives and Outcomes:
By the end of this course, the students will be able to:
●​ Describe and explain the introductory electricity and magnetism
principles i.e. Coulomb's law, Gauss's law, Biot-Savart and Ampere's
laws
●​ Understand the basic concepts of special theory of relativity, atomic
model, nuclear and solid state physics
●​ Apply these principles, together with logical reasoning to real life
situations
●​ Analyze and solve problems with the aids of mathematics
●​ Acquire and interpret experimental data to examine the laws of
electricity and magnetism.
D. Suggested Text and Reference Book:
• Principles of Physics. Author: Halliday, Resnick & Walker (10thedition,
International). (Any edition is sufficient. However, the topics may have different
section numbers depending on the edition).​
• Concepts of Modern Physics by Arthur Beiser.​
• Beiser, "Perspectives of Modern Physics", McGraw-Hill, 6th ed., 2002.
CHE 110 Principles of Chemistry
A. Course General Information:
Course Code:
CHE110
Course Title:
Principles of Chemistry
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
School Core/GED
Type:
Required, Mathematics and Science, Lecture +
Laboratory
Prerequisites:
None
Co-requisites:
None
B. Course Catalog Description (Content):
Nature of Atoms: Structure of atoms, Dalton’s postulates, J.J. Thompson’s
atomic mode, Rutherford’s atomic model, Bohr’s atomic model, Max Planck’s
theory of quantum, spectra of hydrogen atom, quantum numbers, concept of
orbit and orbital, electronic configuration, Aufbau principle, Pauli’s exclusion
principle, Hund’s principle, isotope, isotones, isobars, periodic table, periodic
nature of elements etc. Radio Activity: Radioactive elements, nuclear fission,
chain reaction, decay Law, α,β,γ ray and their properties, mean life and
half-life. Chemical Reaction: types of chemical bonding, chemical reaction
classifications, thermochemistry, oxidation reduction, acid and bases, reaction
equilibrium, chemical kinetics etc. Gas Law: Ideal gas, Real gas, Charle’s law,
Boyel’s Law, ideal gas combined law, kinetic theory of gasses and related
mathematical problems. Environmental Chemistry: Environments and its
chemistry, environmental Pollution and Its sources, types of environmental
pollution and their effects, Atmospheric Chemistry, Aerosols, influence of CFC
gases, creation of ozone hole, green house effects etc. Colligative properties:
introduction to colligative properties, dilute solution, types of solution,
depression of freezing point. Lowering of vapor pressure, elevation of boiling
point, Roult’s law, osmotic pressure.
C. Course Objectives and Outcomes:
At the end of this course, students will be able to:
●​ Understand and be able to explain the general principles, laws and
theories of chemistry that are discussed and presented throughout the
semester.
●​ Analyze the importance of intra- and intermolecular attraction to predict
trends in physical properties.
●​ Identify characteristics of acids, bases and salts and solve
problems based on their quantitative relationships.
●​ Identify and balance oxidation – reduction reaction.
●​ Apply quantitative skill to determine the rate of reaction and its
dependence on different factors.
●​ Develop an awareness of the value of chemistry in our daily life.
D. Suggested Text and Reference Book:
●​ Ebbing, D. and Gammon, S.D., 2016. General chemistry. Cengage
Learning.
●​ Silberberg, M., 2012. Principles of general chemistry. McGraw-Hill
Education.
●​ Haider, S.Z., 2000. Introduction to modern inorganic chemistry.
●​ Tuli, G.D. and Bahl, B.S., 2010. Essentials of Physical Chemistry. S
Chand & Co Ltd.
●​ Sharma, K.K. and Sharma, L.K., 2016. A textbook of physical chemistry.
Vikas Publishing House.
●​ Adamson, A., 2012. A textbook of physical chemistry. Elsevier.
●​ Shoemaker, D.P., Garland, C.W., Nibler, J.W. and Feigerle, C.S., 1996.
Experiments in physical chemistry (Vol. 378). New York: McGraw-Hill.
●​ Mosher, M., 1992. Organic Chemistry. (Morrison, Robert Thornton; Boyd,
Robert Neilson).
●​ Rabinovich, D., 2000. Advanced Inorganic Chemistry, (Cotton, FA;
Wilkinson, G.; Murillo, CA; Bochmann, M.).
●​ Denney, R.C., Jeffery, G.H. and Mendham, J. eds., 1978. Vogel's textbook
of quantitative inorganic analysis including elementary instrumental
analysis (p. 743). English Language Book Society.
Program Core Courses
EEE 101 Electrical Circuits I – v3
EEE 201 Electrical Circuits I - v1, v2
EEE 101L Electrical Circuits I Lab – v3
EEE 202 Electrical Circuits I Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Code:
EEE101
EEE101L
Course Title:
Electrical Circuits I
Electrical Circuits I Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
PHY 111 Principles of Physics
MAT 110 Mathematics I Differential Calculus
and Co-ordinate Geometry
Co-requisites:
None
Equivalent Course
ECE 101 Electrical Circuits I
EEE 201 Electrical Circuits I - v1, v2
ECE 201 Electrical Circuits I - v1, v2
ECE 101L Electrical Circuits I Laboratory
EEE 202 Electrical Circuits I Laboratory (1.5
credits) – v1, v2
ECE 202 Electrical Circuits I Laboratory (1.5
credits) – v1, v2
B. Course Catalog Description (Content):
The course is designed to acquaint students with basic DC electrical circuits
and their working. The Kirchhoff’s laws, node voltage methodology and circuit
theorems are used to solve simple DC circuits’ problems. The course then
covered the network elements, types of networks & analysis of complex
circuits using Mesh current & Nodal voltage method, various circuit theorems
such as: Norton’s Theorem, Thevenin’s Theorem, Superposition Theorem and
develop an understanding of how to apply these circuit theorems/techniques
for solving different types of complex DC circuit problems having dependent
and independent voltage and current sources, ability to apply delta-wye
conversion techniques to analyze different types of more complex circuits and
calculate maximum power transfer for these circuits. The response of first
order RC and RL circuits is also analyzed along with step response. Similar to
electric circuit, magnetic circuit also analyzed using basic equations and
methods to solve magnetic circuit problems. In addition to class lectures,
comprehensive mandatory laboratory exercises are also designed so that
theoretical knowledge may be coincided with practical.
C. Course Objective:
This course is considered as the backbone to fundamental electrical circuits
and analysis. Ability to use the techniques, skills and modern engineering
tools necessary for modern engineering practice related to DC circuit
applications. The rationale of the course is to enable the students to develop
the sound understanding of and ability to design and analyze basic electrical
DC circuits. As one of the core courses for the EEE program, the knowledge
from the course will be applied in future EEE courses such as AC circuits,
Electronic devices. The course allows the use the students to use modern
engineering techniques, skills and tools to fulfill practical engineering
problems related to DC circuit
D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Explain the fundamental concepts of linear electrical circuit
elements and magnetic properties of materials
CO2
Apply different circuit analysis techniques and circuit theorems
to solve circuits for unknown quantities
CO3
Interpret the natural and transient responses of the first order
electric systems involving capacitors and inductors
CO4
Use simulation tool to construct DC circuit in schematic level
CO5
Demonstrate basic proficiency in building, debugging and testing
basic electrical circuits
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t
domain/lev
and
el
activities
EEE 101 Electrical Circuits
tools
CO1
Explain the
a
fundamental concepts
Cognitive/
Lectures,
Assignmen
Understand
notes
t, Quiz
Cognitive/
Lectures,
Assignmen
Apply
notes
t, Quiz,
of linear electrical
circuit elements and
magnetic properties of
materials
CO2
Apply different circuit
a
analysis techniques
and circuit theorems to
Exam
solve circuits for
unknown quantities
CO3
Interpret the natural
a
and transient
Cognitive/
Lectures,
Assignmen
Apply
notes
t, Quiz,
responses of the first
Exam
order electric systems
involving capacitors
and inductors
EEE 101L Electrical Circuits Lab
CO4
Use simulation tool to
e
Cognitive/
construct DC circuit in
Understand
schematic level
,
Psychomot
or/
Lab Class
Lab Work,
Lab Exam
Manipulatio
n
CO5
Demonstrate basic
e
Cognitive/
proficiency in building,
Understand
debugging and testing
,
basic electrical circuits
Psychomot
Lab Class
Lab Work,
Lab Exam
or/
Manipulatio
n
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
8th Ed.
McGraw-
978-0-07-35
Hill
2957-8
n Year
1
Engineerin
W. H. Hayt,
g Circuit
J.
Analysis
Kemmerly
2007
and S. M.
Durbin
2
Introduct
Robert L.
ory
Boylestad
Circuit
Analysis
2015
11th Ed. Prentice- 0-13-173044
Hall
-4
EEE 103 Computer Programming - v3
CSE 161 Computer Programming – v1, v2
EEE 103IL Computer Programming Laboratory – v3
CSE 162 Computer Programming Laboratory (1 credit) – v1, v2
A. Course General Information:
Course Code:
EEE103
EEE103IL
Course Title:
Computer Programming
Computer Programming Laboratory
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
None
Co-requisites:
None
Equivalent Course
ECE 103 Computer Programming
ECE 103IL Computer Programming Laboratory
CSE 161 Computer Programming – v1, v2
CSE 162 Computer Programming Laboratory
(1 credit) – v1, v2
B. Course Catalog Description (Content):
Introduction to programming languages, environments, number system, data
representation in computer. Algorithms and flowchart construction for
problem solving. Introduction to C programming (variables, data types,
operators, expressions, assignments). Conditional, control statements, and
loops (if, if-else, switch, while, for etc.). Introduction to 1D arrays and
multi-dimensional arrays. Introduction to functions (definitions, prototypes,
argument, header files). Introduction to functions (definitions, prototypes,
argument, header files). Pointers, Structures, File I/O. Object oriented
programming: introduction, class, object and method. This course has 3
hours/week mandatory integrated laboratory session.
C. Course Objective:​
The objectives of this course are to​
a. introduce algorithms and flowchart construction​
b. teach students the basic syntax of a programming language (variables, data
types, operators, expressions, assignments etc.)​
c. explain how to solve basic programming related problems​
d. determine syntax and semantic errors in a program​
e. introduce Integrated Development Environments(IDE)s as tools for solving
programming problems
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Write algorithms, flowcharts to solve basic and complex
programming problems
CO2
Implement conditional statements, loops, arrays and functions
to solve programming tasks
CO3
Apply pointer and memory addressing techniques in
programming
CO4
Use IDE tools to compile and execute programs
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/
and
level
activities
EEE 103 Computer Programming
CO1
Write algorithms,
a
flowcharts to solve
Cognitive/
Lectures,
Apply
notes
Cognitive/
Lectures,
Apply
notes
Quiz, Exam
basic and complex
programming
problems
CO2
Implement conditional
statements, loops,
arrays and functions to
solve programming
tasks
a
Quiz, Exam
CO3
Apply pointer and
a
Cognitive/
Lectures,
Apply
notes
memory addressing
Quiz, Exam
techniques in
programming
EEE 103IL Computer Programming Laboratory
CO4
Use IDE tools to
e
Cognitive/
compile and execute
Apply,
programs
Psychomot
Lab class
Lab Work,
Lab Exam
or/
Manipulatio
n
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
3rd
McGraw-Hi
978-00788
ll Osborne
23114
n Year
1
Teach
Herbert
Yourself C
Schildt
1997
Media
2
Let Us C
Yashavant
2016
15th
Kanetkar
BPB
978-81833
Publication
31630
s
EEE 203 Electrical Circuits II
EEE 203L Electrical Circuits II Laboratory – v3
EEE 204 Electrical Circuits II Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Code:
EEE203
EEE203L
Course Title:
Electrical Circuits II
Electrical Circuits II Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
Laboratory):
3+3
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 101 Electrical Circuits I
EEE 101L Electrical Circuits I Laboratory
MAT 120 Mathematics II Integral Calculus and
Differential Equations
Co-requisites:
None
Equivalent Course
ECE 203 Electrical Circuits II
ECE 203L Electrical Circuits II Laboratory
EEE 204 Electrical Circuits II Laboratory (1.5
credits) – v1, v2
ECE 204 Electrical Circuits II Laboratory (1.5
credits) – v1, v2
B. Course Catalog Description (Content):​
This course is considered as one of the fundamental courses to understand
Electrical Circuits. It introduces the generation of alternating source and
analyze parameters and perform mathematical calculations of real power,
reactive power, apparent power, power factor, reactive factor for different types
of AC circuit. Moreover, this course provides the concept of complex number
calculations and solve all the DC circuits’ concepts such as- series and
parallel RL, RC and RLC circuits, nodal and mesh analysis, application of
network theorems in ac circuits. Furthermore, this course introduces the
concept of three phase circuits; balanced and unbalanced circuits and power
calculation which are the essential building blocks for most of the electrical
systems. The rationale of the course is to enable the students to develop
sound understanding of electrical circuits, design and analyze these basic
electrical circuits. As one of the core courses for the EEE program, the
knowledge from the course will be applied in future EEE courses such as
Energy Conversion I, Energy Conversion II, Power System I, Power System II,
Power Electronics and Switchgear and Protection Courses. This course has 3
hours/week separate mandatory laboratory session.
C. Course Objective:​
The objectives of this course are to:​
a. Introduce basic understanding of phasors and phasor diagrams to analyze
voltage, current, power and impedance for AC circuit.​
b. Teach how to apply different network theorems to solve AC circuits in
phasor domain.​
c. Introduce the design and analyze the concept of series and parallel
resonance circuits​
d. Make understand the phase rotation and Wye/Delta connections for
balanced and unbalanced 3-phase systems​
e. Introduce how to calculate AC power and power factor for single and three
phase ac circuits.​
f. Prepare students to understand the frequency response of low-pass,
high-pass, band-pass, and band-reject filters and circuit response to
non-sinusoidal input.​
g. Introduce computer simulations and extensive laboratory sessions to
investigate each major topic.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Apply different network theorems to solve AC circuits in phasor
domain and for non-sinusoidal inputs.
CO2
Analyze circuit problems on resonance and poly phase system
for different types of loads
CO3
Use simulation tool to investigate AC circuits in schematic level
CO4
Construct and troubleshoot AC circuits using laboratory
equipment
CO5
Demonstrate the findings of hardware and software
experiments through reports
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/level
and
activities
EEE 203 Electrical Circuits II
CO1
Apply different
a
network theorems to
Cognitive/
Lectures,
Quiz,
Apply
notes
Assignment
solve AC circuits in
, Exam
phasor domain and for
non-sinusoidal inputs.
CO2
Analyze circuit
problems on
b
Cognitive/
Lectures,
Assignment
Analyze
notes
, Exam
resonance and poly
phase system for
different types of loads
EEE 203L Electrical Circuits II Laboratory
CO3
Use simulation tool to
e
Cognitive/
Lab class
Lab Work,
investigate AC circuits
Apply,
Lab Exam,
in schematic level
Psychomotor
Project
/ Precision
CO4
CO5
Construct and
e
Cognitive/
Lab class
Lab Work,
troubleshoot AC
Understand,
Lab Exam,
circuits using
Psychomotor
Project
laboratory equipment
/ Precision
Demonstrate the
j
Affective/Val
Lab
Lab
uing
Class,
Reports,
Lecture
Project
findings of hardware
and software
experiments through
Presentatio
reports
n
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
12th ed.
Pearson
ISBN-0-130
Educatio
97417-XII
n Year
1
Introductor
Robert.L.
y Circuit
Boylestad
Analysis
2012
n
2
Electric
J.W.Nilsso
Circuits
n and
2014
7th ed.
Prentice
ISBN
Hall
978–0–07–3
S.Riedel
52955–7
EEE 205 Electronic Circuit I​
EEE 205L Electronic Circuit I Laboratory – v3​
EEE 206 Electronic Circuit I Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Code:
EEE 205
EEE 205L
Course Title:
Electronic Circuit I
Electronic Circuit I Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
Laboratory):
3+3
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 203 Electrical Circuit II
EEE 203L Electrical Circuit II Laboratory
Co-requisites:
None
Equivalent Course
ECE 205 Electronic Circuit I
ECE 205L Electronic Circuit I Laboratory
EEE 206 Electronic Circuit I Laboratory (1.5
credits) – v1, v2
ECE 206 Electronic Circuit I Laboratory (1.5
credits) – v1, v2
B. Course Catalog Description (Content):​
Fundamental concepts of the semiconductor: electrons and holes, concept of
doping, acceptors and donors, p and n-type materials is introduced. PN
junction Diode and circuits: Operation principle, Current-Voltage
characteristics, Diode models, diode DC analysis, Diode AC analysis: Rectifier
circuits, Clipper and Clamper circuits. Zener diode: IV characteristics, zener
shunt regulator. Bipolar Junction Transistor (BJT): Basic structure, BJT
characteristics and regions of operation, BJT Currents, BJT Terminal Voltages,
BJT voltage amplification. Bipolar Junction Transistor Biasing: The dc load
line and bias point, biasing the BJT for discrete circuits, small signal
equivalent circuit models, h parameters. Single-stage BJT amplifier circuits
and their configurations: Voltage and current gain, input and output
impedances. Metal-Oxide-Semiconductor Field-Effect-Transistor (MOSFET):
structure and physical operation of MOSFETs, Threshold voltage,
current-voltage characteristics, Small-signal analysis of MOS amplifier, basic
introduction to OpAMP.
C. Course Objective:​
The objectives of this course are to​
a. Introduce the fundamental concepts of semiconductor materials and their
properties required to understand the construction of electronic devices.​
b. Provide the students with the knowledge of the construction, operation
principles, characteristics of the basic electronic devices (Diode, BJT, MOSFET
etc.), and subsequently, with the ability to represent those devices into
equivalent circuit models (large signal and small signal).​
c. Teach the students different methods to Analyze electronic circuits
consisting of electronic devices: Diodes, BJTs and MOSFETs for DC and AC
signals.​
d. Expose the students with the introductory design process of Amplifier
circuits.​
e. Provide the students with the skills to simulate electronic circuits and
construct, troubleshoot/debug them, and finally, extract experimental data with
a view to solidifying the underlying knowledge of the devices
​
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Construct large-signal equivalent circuit of various electronic
devices such as Diode, BJT and MOSFET based on the
understanding of the construction, operation mechanism and
characteristics of the devices.
CO2
Analyze electronic circuits consisting of different electronic
devices such as diodes, BJT, MOSFTEs for both DC and AC
signals.
CO3
Design various electronic circuits such as Amplifier circuits and
Voltage regulator circuits
CO4
Investigate the effect of different circuit parameters including
load resistance on the Amplifier performances in terms of Gain,
input/output impedance, faithful reproducibility, stability in
biasing etc.
CO5
Use simulation tool to construct electronic circuits and simulate
in schematic level
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t
domain/lev
and
el
activities
tools
Cognitive/
Lectures,
Assignmen
Apply
notes
t, Quiz,
EEE 205 Electronic Circuit I
CO1
Construct large-signal
a
equivalent circuit of
various electronic
Exam
devices such as
Diode, BJT and
MOSFET based on
the understanding of
the construction,
operation mechanism
and characteristics of
the devices.
CO2
Analyze electronic
circuits consisting of
different electronic
devices such as
diodes, BJT,
MOSFTEs for both
DC and AC signals.
a
Cognitive/
Lectures,
Assignmen
Analyze
notes
t, Quiz,
Exam
CO3
Design various
c
electronic circuits
Cognitive/
Lectures,
Assignmen
Create
notes
t, Exam,
such as Amplifier
Project
circuits and Voltage
regulator circuits
EEE 205L Electronic Circuit I Laboratory
CO4
Investigate the effect
d
Cognitive/
Lectures,
Open-ende
of different circuit
Evaluate,
notes
d Lab
parameters including
Psychomot
load resistance on the
or/
Amplifier
Manipulatio
performances in
n
Experiment
terms of Gain,
input/output
impedance, faithful
reproducibility,
stability in biasing etc.
CO5
Use simulation tool to
e
Cognitive/
construct electronic
Lab class
Lab Work,
Software
circuits and simulate
Apply
Exam,
in schematic level
Psychomot
Project
or/
Manipulatio
n
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
7th ed.
Oxford
ISBN-13:
n Year
1
Microelectro
Adel S.
2014
nics circuits
Sedra,
Universit
978-019933
Kenneth
y Press
9136
McGraw-
ISBN
Hill
978–0–07–3
C. Smith
2
Microelectr
Donald
onics
A.
Circuit
Neaman
2010
4th ed.
38064–3
Analysis &
Design
EEE 221 Energy Conversion I​
EEE 221L Energy Conversion I Laboratory – v3​
EEE 224 Energy Conversion Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Code:
EEE221
EEE221L
Course Title:
Energy Conversion I
Energy Conversion I Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 203 Electrical Circuits II
EEE 203L Electrical Circuits II Laboratory
Co-requisites:
None
Equivalent Course
ECE 221 Energy Conversion I
ECE 221L Energy Conversion I Laboratory
EEE 224 Energy Conversion Laboratory (1.5
credits) – v1, v2
ECE 224 Energy Conversion Laboratory (1.5
credits) – v1, v2
B. Course Catalog Description (Content):​
This course gives a brief idea about the fundamental concepts of some DC and
AC energy conversion machines. It starts with the basic principle,
construction, performance analysis and designing of a transformer. Then it
covers the construction, operating principle, effect of parameter changes and
starting procedure of induction motor, synchronous generator and
synchronous motor. Students also learn about the basic operating principle,
procedure of speed control and starting of DC machines. This course has 3
hours/week separate mandatory laboratory session.
C. Course Objective:​
The objective of this course are to​
a. help students to understand the construction and basic principle of
operation of a complex energy conversion system​
b. provide the students with knowledge to analyze and design transformer,
induction motor, synchronous motor, synchronous generator, DC motor and
DC generator.​
c. enable students to develop an understanding how different parameters like
load, field current, supply voltage, frequency change the performance of an
electrical machine​
d. equip students with necessary skills to construct, run and observe the
operation of basic electrical machines
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Describe the construction and basic operation principles of
transformer, induction motor, synchronous machine and DC
machine
CO2
Examine the performance of transformer, induction motor,
synchronous machine and DC machine
CO3
Design transformer, induction motor, synchronous machine and
DC machine for practical applications with various requirements
of torque and speed using simulation tools
CO4
Explain the effect of different parameter changes on the
operation of induction motor, synchronous machine and DC
machine
CO5
Demonstrate proficiency in using laboratory tools to carry out
experiments.
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t
domain/lev
and
el
activities
tools
Cognitive/
Lecture,
Quiz, Exam
Understand
Notes
Cognitive/
Lecture,
Analyze
Notes
EEE 221 Energy Conversion I
CO1
Describe the
a
construction and basic
operation principles of
transformer, induction
motor, synchronous
machine and DC
machine
CO2
Examine the
performance of
a
Quiz,
transformer, induction
Assignmen
motor, synchronous
t, Exam,
machine and DC
project
machine
CO3
Design transformer,
c
induction motor,
Cognitive/
Lecture,
Assignmen
Create
Notes
t, Exam,
synchronous machine
Project
and DC machine for
practical applications
with various
requirements of torque
and speed using
simulation tools
CO4
Explain the effect of
a
different parameter
Cognitive/
Lecture,
Quiz,
Understand
Notes
Assignmen
changes on the
t, Exam
operation of induction
motor, synchronous
machine and DC
machine
EEE 221L Energy Conversion I Laboratory
CO5
Demonstrate
e
Cognitive/
proficiency in using
Understand
laboratory tools to
Psychomot
carry out experiments.
or/
Precision
F. Text and Reference Books:
Lab Class
Lab Work,
Lab Exam
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
5th
McGraw
978-007-10
Hill
8617-2
Pearson
978-06752
n Year
1
Electric
Stephen
Machinery
J.
and
Chapman
2012
Fundamental
s
2
Electric
Charles I
Machines-
Hubert
2002
4th
11369
Theory,
Operation,
Applications,
Adjustment
and Control
EEE 241 Electromagnetic Waves and Fields
A. Course General Information:
Course Code:
EEE 241
Course Title:
Electromagnetic Waves and Fields
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture
Prerequisites:
EEE 203 Electrical Circuits II,
EEE 203L Electrical Circuits II Lab
MAT 216 Mathematics IV Linear Algebra and
Fourier Analysis
PHY 112 Principles of Physics II
Co-requisites:
None
Equivalent Course
ECE 241 Electromagnetic Waves and Fields
B. Course Catalog Description (Content):​
Electrostatics: Co-ordinate system, Rectangular, Cylindrical and Spherical
co-ordinates, and Vector Analysis; Fundamental Postulates of Electrostatics,
Gauss’s theorem and its application, Electrostatic Potential, Capacitance
Calculation, Laplace’s and Poisson’s equations, Method of Images, Energy of
an Electrostatic system, conductor and dielectrics. Steady Electric Current:
Current Density and Ohm’s Law, Boundary Conditions, Resistance Calculation.
Magnetostatics: Concept of magnetic field, Fundamental Postulates of Static
Magnetic Field, Ampere’s Law, Biot-Savart law, Vector Magnetic Potential,
Energy of Magnetostatic system, Mechanical forces and torques in electric and
magnetic fields. Solutions to static field problems; Graphical field mapping
with applications, solution to Laplace’s equations, rectangular, cylindrical and
spherical harmonics with applications. Maxwell’s equations: Their derivations,
continuity of charges, concepts of displacement current; Boundary conditions
for time-varying systems; Potentials used with varying charges and currents;
Retarded potentials, Maxwell’s equations in different coordinate systems.
Propagation and reflection of electromagnetic waves in unbounded media:
Plane wave propagation, polarization, power flow and Poynting’s theorem.
Transmission line analogy, reflection from conducting and dielectric boundary​
.​
C. Course Objective:​
The objectives of the course are to:​
a. Provide students with the basic concepts of electromagnetic theory,
principles of electromagnetic radiation, Electromagnetic boundary conditions
and electromagnetic wave propagation​
b. Enable students to demonstrate knowledge and understanding of
Electromagnetic fields in simple electronic configurations​
c. Help students to develop skills to analyze interactions of electromagnetic
waves with materials and interfaces
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to-
Sl.
CO Description
CO1
Explain the fundamentals of Electrostatic and Magnetostatic
Fields
CO2
Apply Gauss's Law, Coulomb's Law and Poisson's Equation to
calculate fields and potentials to solve topic specific engineering
problems.
CO3
Demonstrate the interaction between time-varying electric and
magnetic fields and how this interaction leads to Maxwell's
equations.
CO4
Analyze interactions of electromagnetic waves with materials and
interfaces and Interpret the effects of dielectrics upon the
propagation of electromagnetic waves.
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO1
CO Description
Explain the
POs
a
fundamentals of
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
Cognitive/
Lecture,
Understand
Notes
Cognitive/
Lecture,
Assignmen
Apply
Notes
t, Quiz,
Quiz, Exam
Electrostatic and
Magnetostatic Fields
CO2
Apply Gauss's Law,
a
Coulomb's Law and
Poisson's Equation to
Exam
calculate fields and
potentials to solve topic
specific engineering
problems.
CO3
Demonstrate the
interaction between
time-varying electric
and magnetic fields
and how this
interaction leads to
Maxwell's equations.
a
Cognitive/
Lecture,
Assignmen
Apply
Notes
t, Quiz,
Exam
CO4
Analyze interactions of
b
electromagnetic waves
Cognitive/
Lecture,
Assignmen
Analyze
Notes
t, Exam
Edition
Publisher
ISBN
2nd
Pearson
13:
with materials and
interfaces and Interpret
the effects of dielectrics
upon the propagation
of electromagnetic
waves.
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
n Year
01
Field and
David K.
Wave
Cheng
2006
97802011281
Electromagn
92
etics
02
Elements of
Matthew
Electromagn
Sadiku
2010
3rd
Oxford
13:
Universit
978-0199743
y
001
etics
EEE 243 Signals and Systems
A. Course General Information:
Course Code:
EEE 243
Course Title:
Signals and Systems
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture
Prerequisites:
EEE 203 Electrical Circuits II
EEE 203L Electrical Circuits II Laboratory
MAT 216 Mathematics IV Linear Algebra and
Fourier Analysis
Co-requisites:
None
Equivalent Course
ECE 243 Signals and Systems
B. Course Catalog Description (Content):​
This is an introductory course in the field of communication engineering. It
provides basic concepts of signals and systems and how different operations
is done on the elementary signals. Students will learn to determine output of
LTI system using the technique of convolution. They will get an insight of
frequency domain techniques for analysis and manipulation of continuous
time signals. Students will learn to determine Fourier series coefficient and
Fourier transform of periodic and aperiodic time domain signals. This learning
is also extended to Laplace transform. Using these frequency domain
techniques students will be able to design and analyze different types of
systems.
​
C. Course Objective:​
The objectives of this course are to​
a. introduce the fundamental concepts of signals and systems​
b. enable students to find system output using convolution integral​
c. provide basic understanding of frequency domain representation of signals​
d. enable students to analyze systems using Fourier Series, Fourier Transform
and Laplace Transform​
e. develop the techniques of designing a system using frequency domain
methods​
f. prepare students to take more advanced courses in the area of
communication engineering
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Explain various types of signals (such as continuous and
discrete, periodic and aperiodic, power and energy) and systems
(such as linearity, time invariance, causality, memory,
invertibility, and BIBO stability)
CO2
Analyze various properties of signals and system
CO3
Apply the basic properties of the Fourier series, Fourier
transform and Laplace transform for problem analysis and
solving
CO4
Use the frequency domain techniques to design systems that
meets particular requirements
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
CO1
Explain various types
a
of signals (such as
Cognitive/
Lectures,
Quiz,
Understand
notes
Assignment
continuous and
, Exam
discrete, periodic and
aperiodic, power and
energy) and systems
(such as linearity, time
invariance, causality,
memory, invertibility,
and BIBO stability)
CO2
Analyze various
b
properties of signals
Cognitive/
Lectures,
Assignment
Analyze
notes
, Exam
Cognitive/
Lectures,
Quiz,
Apply
notes
Assignment
and system
CO3
Apply the basic
a
properties of the
Fourier series, Fourier
, Exam
transform and Laplace
transform for problem
analysis and solving
CO4
Use the frequency
domain techniques to
a
Cognitive/
Lectures,
Assignment
Apply
notes
, Exam
design systems that
meets particular
requirements
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
2nd
Pearson
978-129202
n Year
1
Signals
Alan V.
and
Oppenheim,
Systems
Alan S.
2013
5902
Willsky, With
S. Hamid,
Syed Hamid
Nawab
2
Continuo
Samir S.
us and
Soliman,
discrete
Mandyam
signals
D. Srinath
1990
2nd
Prentice
81-203-230
Hall
7-6
Oxford
0-941413-3
Systems
Universit
5-7
and
y Press,
Signals
Inc
and
systems
3
Linear
B. P. Lathi
2001
2nd
EEE 282 Numerical Techniques
A. Course General Information:
Course Code:
EEE 282
Course Title:
Numerical Techniques
Credit Hours (Theory +
0+1
Laboratory):
Contact Hours (Theory +
0+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Laboratory
Prerequisites:
EEE 103 Computer Programming
MAT 120 Mathematics II Integral Calculus and
Differential Equations
Co-requisites:
None
Equivalent Course
ECE 282 Numerical Techniques
B. Course Catalog Description (Content):​
This course is provides a solid introduction to the field of numerical analysis.
The course starts with some basic discussion on some of the preliminary
topics of numerical methods and provides a background of programming.
Diverse methods of finding roots, interpolation techniques, numerical
differentiation and integration are covered in this course. Solution of ordinary
differential equations and solving linear systems are also introduced in the
course. Aside from developing competency in the topics and emphases listed
above, the course aims to further development of the students in applying
problem solving skills through the introduction of numerical methods.
C. Course Objective:​
The objectives of this course are to​
a. Introduce an understanding of the core ideas and concepts of Numerical
Methods.​
b. Provide students with sound understanding and knowledge of programming
and efficient coding to implement different numerical methods and concepts.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Evaluate different methods of interpolation.
CO2
Explore the basic concepts of numerical differentiation and
integration.
CO3
Apply the knowledge of numerical methods for solving linear
systems.
CO4
Use appropriate simulation tools to perform experiments on
various numerical methods.
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/level
and
activities
CO1
Evaluate different
a
methods of
Cognitive/
Lecture,
Assignmen
Evaluate
Notes, Lab
t, Lab
class
Exam
Cognitive/
Lecture,
Assignmen
Understand
Notes, Lab
t, Lab
class
Exam
interpolation.
CO2
Explore the basic
concepts of
numerical
differentiation and
integration.
a
CO3
Apply the knowledge
a
Cognitive/
Lecture,
Assignmen
Apply
Notes, Lab
t, Lab
class
Exam
Cognitive/
Lab Class,
Assignmen
simulation tools to
Apply
Lectures,
t, Lab
perform experiments
Psychomoto
Tutorial
Exam,
on various numerical
r/ Precision
of numerical
methods for solving
linear systems.
CO4
Use appropriate
e
Project
methods.
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
7th
McGraw-
13:
n Year
01
Numerical
Steven C.
2014
Methods
Chapra​
Hill
978-0073397
for
&
Educatio
924
Engineers
Raymond
n
C. Canale
02
Elementar
Kendall
y
Atkinson​
978-0471433
Numerical
&​
378
Analysis
Weimin
Han
2003
3rd
Wiley
13:
EEE 283 Digital Logic Design - v3​
EEE 301 Digital Electronics – v1, v2​
EEE 283L Digital Logic Design Laboratories – v3​
EEE 302 Digital Electronics Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Code:
EEE 283
EEE 283L
Course Title:
Digital Logic Design
Digital Logic Design Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 205 Electronic Circuit I
EEE 205L Electronic Circuit I Laboratory
Co-requisites:
None
Equivalent Course
ECE 283 Digital Logic Design
EEE 301 Digital Electronics – v1, v2
ECE 301 Digital Electronics – v1, v2
ECE 283L Digital Logic Design Laboratory
EEE 302 Digital Electronics Laboratory (1.5
credits) – v1, v2
ECE 302 Digital Electronics Laboratory (1.5
credits) – v1, v2
B. Course Catalog Description (Content):​
Different types of number systems, their representation, conversion and
mathematical operation. Codes: BCD, alphanumeric, gray and excess-3. Digital
logic: Boolean algebra, De Morgan's laws. Logic minimization. Logic gates and
their truth tables. Basic logic gates in CMOS: DC characteristics, noise margin
and power dissipation. Modular combinational circuit design: pass gates,
multiplexer, de-multiplexer, encoder, decoder and comparators. Arithmetic
logic circuit design: Half adder, full adder, half subtractor, full subtractor.
Sequential circuits: Different types of latches, flip-flops and their design using
ASM approach, timing analysis and power optimization of sequential circuits.
Modular sequential logic circuit design: shift registers, counters and their
applications. Synthesis of digital circuits using Hardware Description
Language (HDL). This course has 3 hours/week separate mandatory laboratory
session.
C. Course Objective:​
The objectives of this course are to​
a. Introduce the concepts and terminology of digital logic design to create
circuits to solve problems using gates to replicate all logic functions.​
b. Introduce theorems and properties of Boolean algebra and simplification
techniques including Karnaugh Map to reduce Boolean expressions and logic
circuits to their simplest forms.​
c. Prepare students to design and implement combinational and sequential
circuits.​
d. Exposed students in designing and evaluating solutions for complex digital
system design problem.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Apply the concept of digital logic design to solve the problem
using gates to replicate logic functions
CO2
Analyze combinational and sequential logic circuits built with
various logic gates, flip-flops, registers, counters etc.
represented through schematic diagram or hardware description
language.
CO3
Design combinational and sequential logic circuits using various
logic gates, flip-flops, registers, counters as building blocks
CO4
Perform effectively as an individual or in a team to design and
build combinational and sequential logic circuits in the
laboratory or project development
CO5
Communicate the findings of hardware and software experiments
and projects through reports and presentations
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/level
and
activities
EEE 283 Digital Logic Design
CO1
Apply the concept
a
Cognitive/
Lectures,
of digital logic
Assignment
,
Apply
design to solve the
Notes
Quiz, Exam
problem using
gates to replicate
logic functions
CO2
Analyze
a
Cognitive/
combinational and
sequential logic
circuits built with
various logic gates,
flip-flops, registers,
counters etc.
represented
through schematic
diagram or
hardware
description
language.
Lectures,
Assignment
Notes
,
Analyze
Quiz, Exam
CO3
Design
c
combinational and
Cognitive/
Lectures,
Assignment
Create
Notes
, Project
sequential logic
circuits using
various logic gates,
flip-flops, registers,
counters as
building blocks
EEE 283L Digital Logic Design Laboratories
CO4
Perform effectively
i
as an individual or
Affective/
Lab class
Valuing
Observatio
in a team to design
n,
and build
Peer-revie
combinational and
w
sequential logic
circuits in the
laboratory or
project
development
CO5
Communicate the
j
Cognitive/Under
Lab Class
Lab
findings of
stand, Affective/
Reports,
hardware and
Valuing
Project
software
Reports
experiments and
and
projects through
reports and
Presentatio
presentations
n
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
11th
Prentice
0135103827
Hall,
,
n Year
1
Digital
Ronald J
2011
Systems:
Tocci and
Principles
Neal S
9780135103
and
Widmer,
821
Application
s
2
Digital
M. Morris
2004
4th
Pearson/Pr
013140539
Logic and
Mano
entice Hall,
X,
Computer
and
9780131405
Design
Michael
394
D. Ciletti,
3
Fundamen
tals of
Roth, HR,
2010
6th
Thomson-B 0495471690
rooks/Cole
,
Logic
9780495471
Design
691
EEE 305 Control Systems​
EEE 305L Control Systems Laboratory – v3​
EEE 306 Control Systems Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Code:
EEE 305
EEE 305L
Course Title:
Control Systems
Control Systems Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 243 Signals and Systems
Co-requisites:
None
Equivalent Course
ECE 305 Control Systems
ECE 305L Control Systems Laboratory
EEE 306 Control Systems Laboratory (1.5
credits) – v1, v2
ECE 306 Control Systems Laboratory (1.5
credits) – v1, v2
B. Course Catalog Description (Content):​
This is a first course on feedback control of dynamic systems. It provides
basic concepts and principles of modeling, analysis and design of continuous
time linear feedback control systems. Students gain experience in applying a
variety of modeling techniques and analyzing system performance from
several perspectives to include the time and frequency domains. Using this
classical control design techniques, students learn to synthesize linear
controllers capable of satisfying a variety of stability and response criteria.
Practical aspects of the class include the use of case studies of real control
systems as well as the use of Matlab/Simulink for simulation and design. A
companion 3 hours/week laboratory session provides additional hands-on
experimental exposure to the design, implementation and performance of
linear controllers using second order servo system.
C. Course Objective:​
The course primarily contributes to demonstrate an understanding of the
fundamentals of feedback control systems, design a system, component or
process to meet desired needs, use the techniques, skills and modern
engineering tools necessary for modern engineering practice related to control
systems. As one of the core courses for the EEE program, the knowledge from
the course will be applied in future practical applications such as robotics,
radar tracking system, aircraft flight control system, space flight and also for
those who are interested to further study in control engineering
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Identify an approximate linear/linearized model for a physical
dynamic system.
CO2
Examine the stability and feedback control of linear
time-invariant (LTI) systems
CO3
Design linear control systems using time domain and frequency
domain techniques
CO4
Recognize the need for learning new concepts, theories,
technologies and systems related to control systems
engineering field
CO5
Utilize software tools to design and analysis of control systems
CO6
Perform hands-on practical demonstration of control theories in
laboratory setup
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
EEE 305 Control Systems
CO1
Identify an
approximate
linear/linearized
model for a physical
dynamic system.
a
Cognitive/
Lectures,
Assignmen
Analyze
notes
t, Quiz,
Exam
CO2
Examine the stability
a
Cognitive/
Lectures,
Assignmen
Analyze
notes
t, Exam
Cognitive/
Lectures,
Lab Work,
Create
notes
Project
Cognitive/
Independe
Case-study
for learning new
Understand
nt
report
concepts, theories,
,​
case-study
technologies and
Affective/
systems related to
Valuing
and feedback control
of linear
time-invariant (LTI)
systems
CO3
Design linear control
c
systems using time
domain and
frequency domain
techniques
CO4
Recognize the need
l
control systems
engineering field
EEE 305L Control Systems Laboratory
CO5
Utilize software tools
e
Cognitive/
Lab Class
Lab Work,
to design and
Apply,
Lab Exam,
analysis of control
Psychomot
Project
systems
or/
Precision
CO6
Perform hands-on
e
Cognitive/
Lab Class
Lab Work,
practical
Apply,
Lab Exam,
demonstration of
Psychomot
Project
control theories in
or/
laboratory setup
Precision
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
5th Ed.
Prentice- 0-13-615673
n Year
1
Modern
K. Ogata
2010
Control
Hall
-8
John
978-0470-54
Wiley &
756-4
Engineering
2
Control
Norman
Systems
S. Nise
2011
6th Ed.
Engineerin
Sons,
g
Inc.
EEE 308 Electronic Circuits II – v3​
EEE 207 Electronic Circuits II – v1, v2​
EEE 308L Electronic Circuits II Laboratory – v3​
EEE 208 Electronic Circuits II Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Details
Course Code:
EEE 308
EEE 308L
Course Title:
Electronic Circuits II
Electronic Circuits II Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 205 Electronic Circuits I
EEE 205L Electronic Circuits I Laboratory
Co-requisites:
None
Equivalent Course
ECE 308 Electronic Circuits II
EEE 207 Electronic Circuits II – v1, v2
ECE 207 Electronic Circuits II – v1, v2
ECE 308L Electronic Circuits II Laboratory
EEE 208 Electronic Circuits II Laboratory (1.5
credits) – v1, v2
ECE 208 Electronic Circuits II Laboratory (1.5
credits) – v1, v2
B. Course Catalog Description (Content):​
This course provides students with a foundation to the design and analysis of
basic circuit building blocks needed to construct a complete analog electronic
system. The course starts with the general frequency considerations for single
stage or multi stage network: low and high frequency analysis, an important
consideration for any analog electronic system. The course then introduces
Operational Amplifiers (Op Amp), their terminal characteristics, open loop and
close loop configurations, inverting and non-inverting amplifiers, and their
applications in various circuit building blocks. Applications of op amps in the
design and construction of Active Filters and Sinusoidal Oscillator circuits will
be also discussed in detail. Concept of Feedback and how negative feedback
can be used to improve the performance of Amplifiers will be also provided.
This course has separate 3 hours/week mandatory laboratory session.
C. Course Objective:​
The objectives of this course are to​
a. enable the students to develop the sound understanding of and ability to
design and analyze operational amplifier based electronic circuits​
b. provide students with a foundation for analyzing and designing basic
electronic circuit building blocks for different applications, such as, adder,
integrator, differentiator, differential amplifier, filters, oscillators, etc.​
c. help students develop an understanding of how different physical
parameters such as frequency, temperature, etc. limit the performance of the
amplifiers and how to address this problem.​
d. equip students with necessary technical skills to construct and
troubleshoot operational amplifier based electronic circuits
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Explain the theory behind the op amp based amplifier circuits,
filter, oscillator and feedback amplifier circuits.
CO2
Apply the knowledge of op amps, in open loop and close loop
connections, to analyze op amp based various circuits, such as,
adder circuit, integrator circuit, difference amplifier, etc.
CO3
Design Op Amp based electronic circuits for some practical
application
CO4
Investigate the effect of signal frequency on the amplifier
performance
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
EEE 308 Electronic Circuits II
CO1
Explain the theory
behind the op amp
based amplifier
circuits, filter, oscillator
and feedback amplifier
circuits.
a
Cognitive /
Lectures,
Quiz,
Understand
notes
Assignmen
t, Exam
CO2
Apply the knowledge
a
of op amps, in open
Cognitive /
Lectures,
Assignmen
Apply
notes
t, Quiz,
loop and close loop
Exam
connections, to
analyze op amp based
various circuits, such
as, adder circuit,
integrator circuit,
difference amplifier,
etc.
CO3
Design Op Amp based
c
electronic circuits for
Cognitive /
Lectures,
Create
notes
Project
some practical
application
EEE 308L Electronic Circuits II Laboratory
CO4
Investigate the effect
d
Cognitive/
Laboratory
Open-ende
of signal frequency on
Analyze,
session
d lab
the amplifier
Psychomot
performance
or/
Precision
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
7th Ed
Oxford
ISBN
n Year
1
2
Microelectro
S. Sedra
nic Circuits
and K. C.
Univ.
Smith
Press
Electronic
Donald A
Circuits
Neaman
2015
2010
3rd Ed
McGraw
Hill
Analysis
and Design
EEE 309 Semiconductor Device Physics – v3​
EEE 209 Semiconductor Devices and Materials – v1, v2
A. Course General Information:
Course Code:
EEE 309
Course Title:
Semiconductor Device Physics
Credit Hours(Theory +
3+0
Laboratory):
Contact Hours(Theory +
3+0
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture
Prerequisites:
EEE 205 Electronics Circuits I
EEE 205L Electronics Circuits I Laboratory
Co-requisites:
None
Equivalent Course
ECE 309 Semiconductor Device Physics
EEE 209 Semiconductor Devices and Materials
– v1, v2
EEE 209 Semiconductor Devices and Materials
– v1, v2
B. Course Catalog Description (Content):​
This course is an introduction to solid state electronic devices for
undergraduate engineering students. It deals with the physics (electrical and
electronic properties) of semiconductor materials, simple pn junction, and
some of the most common electronic devices, such as, rectifier and zener
diodes, transistors, MOSFETs. The course commences by looking into the
semiconductor fundamentals including crystals and energy bands, charge
carriers (electrons and holes), doping, and transport, (drift and diffusion);
basic concepts of generation-recombination and the P-N junction as
capacitors and current rectifier with applications in photonics; bipolar
transistors and switching three-terminal devices. Being a fundamental course
in electronics, knowledge from this course will be essential to understand
many other electronic courses, such as, electronic devices and circuits,
opto-electronics, VLSI, analog integrated circuits, power electronics etc.
C. Course Objective:​
The objectives of this course are to​
a. introduce students to the physics of semiconductor materials and the inner
working principles of semiconductor devices​
b. provide students with a sound understanding of characteristics and
behavior of existing devices, so that studies of electronic circuits and systems
will be meaningful​
c. help develop the basic tools with which students can later learn about newly
developed devices and applications
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Explain the physical, chemical and electrical properties of
semiconductor materials and what distinguishes them from other
materials
CO2
Apply the understanding of basic semiconductor physics to
determine carrier concentration, energy band diagram and carrier
transport mechanism
CO3
Apply the knowledge of math and physics to determine the
generation-recombination and transport characteristics of
minority carriers under external excitation in a semiconductor
CO4
Analyze the inner working of semiconductor p-n junction diodes
by gaining an in-depth understanding of the physics of the p-n
junction, its electrostatic and electro-dynamic behaviors
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
CO1
Explain the physical,
a
Cognitive/
chemical and electrical
Lectures,
Quiz, Exam
notes
Understand
properties of
semiconductor
materials and what
distinguishes them
from other materials
CO2
Apply the
a
Cognitive/
understanding of basic
Lectures,
Quiz,
notes
Assignmen
Apply
semiconductor physics
t, Exam
to determine carrier
concentration, energy
band diagram and
carrier transport
mechanism
CO3
Apply the knowledge of
math and physics to
determine the
generation-recombinati
on and transport
characteristics of
minority carriers under
external excitation in a
semiconductor
a
Cognitive/
Lectures,
Quiz,
Apply
notes
Assignmen
t Exam
CO4
Analyze the inner
b
Cognitive/
Lectures,
Assignmen
Analyze
notes
t Exam
Edition
Publisher
ISBN
7
Prentice
8120350006
working of
semiconductor p-n
junction diodes by
gaining an in-depth
understanding of the
physics of the p-n
junction, its
electrostatic and
electro-dynamic
behaviors
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
n Year
1
Solid State
B. G.
Electronic
Streetman
Devices
and S.
2014
Hall
Banerjee
2
Semiconduct
Donald A.
or Physics
Neamen
and Devices
2017
4
McGraw-
9780071070
Hill
102
EEE 321 Power System I​
EEE 321L Power System I Laboratory – v3​
EEE 322 Power System I Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Code:
EEE 321
EEE 321L
Course Title:
Power System I
Power System I Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 221 Energy Conversion
EEE 221L Energy Conversion Laboratory
Co-requisites:
None
B. Course Catalog Description (Content):​
Network representation: Single line and reactance diagram of power system
and per unit system. Line representation: equivalent circuit of short, medium
and long lines. Load flow: Gauss- Seidel and Newton Raphson Methods.
Voltage control: Tap changing transformer, phase shifting, booster and
regulating transformer, shunt capacitor and synchronous condenser. Fault
analysis: Short circuit current and reactance of a synchronous machine.
Symmetrical fault calculation methods: symmetrical components, sequence
networks and unsymmetrical fault calculation. Protection: Introduction to
relays, differential protection and distance protection. Introduction to circuit
breakers. Typical layout of a substation. Power plant: Types and comparison,
major components of gas turbine power plant. Load curve and load duration
curve, load factor, capacity factor and plant factor. Definition and classification
of stability, two axis model of synchronous machine, rotor angle stability –
swing equation, power-angle equation, synchronizing power coefficients,
equal area criterion, multi-machine stability studies, step-by-step solution of
the swing curve, factors affecting transient stability, frequency and voltage
stability. Power quality- voltage sag and swell, surges, harmonics, flicker,
grounding problems; IEEE/IEC standards, mitigation techniques. This course
has separate 3 hours/week mandatory laboratory session.
C. Course Objective:​
The objectives of this course are to​
a. Provide fundamental knowledge towards the power system engineering and
basic concepts regarding power system representation, load flow analysis,
voltage control methods, and faults in the system, protection system, general
idea of a substation, power plant and various factors for modeling customer
load.​
b. Assist student to gain hands-on experience through conducting lab
experiments.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Explain basic concepts and aspects of network representation,
transmission line and per-unit system, protection, voltage
control, power plant types and customer load modeling in power
systems
CO2
Solve load flow problems to an electrical power network.
CO3
Analyze a network under both symmetrical and unsymmetrical
fault conditions.
CO4
Use Power system analysis tools to study steady-state behavior
and faults in electrical power networks
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
EEE 321 Power System I
CO1
Explain basic concepts
and aspects of
network
representation,
transmission line and
per-unit system,
protection, voltage
control, power plant
types and customer
load modeling in
power systems
A
Cognitive/
Lectures,
Understand
notes
Quiz, Exam
CO2
Solve load flow
A
problems to an
Cognitive/
Lectures,
Quiz,
Apply
notes
Assignmen
electrical power
t, Exam
network.
CO3
Analyze a network
B
under both
Cognitive/
Lectures,
Assignmen
Analyze
notes
t, Exam
Lab class
Lab Work,
symmetrical and
unsymmetrical fault
conditions.
EEE 321L Power System I Laboratory
CO4
Use Power system
E
Cognitive/
analysis tools to study
Apply
steady-state behavior
Psychomot
and faults in electrical
or/
power networks
Precision
Lab Exam
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
n Year
Edition
Publisher
ISBN
1
Power
John
System
Grainger,
Analysis
Jr., William
1994
2nd ed.
McGraw-
ISBN 13:
Hill
97812590083
51
Stevenson
2
Power
Leonard L.
System
Grigsby
2012
3rd ed.
Prentice
ISBN
Hall
97814398832
Stability
04
and
Control
EEE 341 Introduction to Communication Engineering​
EEE 341L Introduction to Communication Engineering Laboratory – v3​
EEE 342 Introduction to Communication Engineering Laboratory (1.5 credits) –
v1, v2
A. Course General Information:
Course Code:
EEE 341
EEE 341L
Course Title:
Introduction to Communication Engineering
Introduction to Communication Engineering
Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 241 Electromagnetic Fields and Waves
EEE 243 Signal and Systems
STA 201 Elements of Statistics and Probability
Co-requisites:
None
Equivalent Course
ECE 341 Introduction to Communication
Engineering
ECE 341L Introduction to Communication
Engineering Laboratory
EEE 342 Introduction to Communication
Engineering Laboratory (1.5 credits) – v1, v2
ECE 342 Introduction to Communication
Engineering Laboratory (1.5 credits) – v1, v2
B. Course Catalog Description (Content):​
This course provides introduction to basic principles of Communication
system, fundamental elements, basic modes of communication, transmission
media types. It begins with a brief discussion on Fourier series and Fourier
Transform and their application in multiplexing, modulation, and sampling and
other fields of communication engineering. It also deals with different aspects
of Noise in communication system. Students will gain detail knowledge about
different types of analog modulation such as Amplitude Modulation (AM),
Frequency Modulation (FM) and Phase Modulation (PM), and digital
modulation techniques such as Amplitude Shift Keying (ASK), Frequency Shift
Keying (FSK), Phase Shift Keying (PSK) and their applications. This course
also covers the basics of different multiplexing techniques such as Time
Division Multiplexing (TDM), Frequency Division Multiplexing (FDM) etc. This
course has separate 3 hours/week mandatory laboratory session.
C. Course Objective:​
The objectives of this course are to​
a. Introduce the core concepts and fundamental elements of a communication
system.​
b. Provide students with sound understanding and knowledge of different
modes of modulation schemes used in modern communication systems and
basic multiplexing techniques.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Explain different types of modulation and multiplexing
techniques.
CO2
Analyze modulated and demodulated signals in time domain and
frequency domain.
CO3
Apply the knowledge to solve problems related to
communication engineering
CO4
Use hardware and software tools to perform experiments on
various modulation schemes.
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/level
and
activities
EEE 341 Introduction to Communication Engineering
CO1
Explain different types
a
of modulation and
Cognitive/
Lecture,
Assignmen
Understand
Notes
t Quiz,
multiplexing
Exam,
techniques.
CO2
Analyze modulated
b
and demodulated
Cognitive/
Lecture,
Assignmen
Analyze
Notes
t Exam,
Cognitive/
Lecture,
Quiz,
Apply
Notes
Assignmen
signals in time
domain and
frequency domain.
CO3
Apply the knowledge
to solve problems
a
related to
t, Exam,
communication
Project
engineering
EEE 341L Introduction to Communication Engineering Laboratory
CO4
Use hardware and
e
Cognitive/
software tools to
Apply
perform experiments
Psychomoto
on various modulation
r/ Precision
Lab Class
Lab Work,
Lab Exam
schemes.
G. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
5th
Wiley
13:
n Year
01
Communicat
Micheal
2009
ion Systems
Mohar​
978-047169
&​
7909
Simon S.
Haykin
02
Modern
B. P. Lathi​
Digital and
&
Analog
Communicat
ion System
Z. Ding
2010
4th
New York
13:
: Oxford
978-019538
Universit
4932
y Press,
2009
EEE 343 Digital Signal Processing​
EEE 343L Digital Signal Processing Laboratory – v3​
EEE 344 Digital Signal Processing Laboratory (1.5 credits) – v1, v2
A. Course General Information:
Course Code:
EEE 343
EEE 343L
Course Title:
Digital Signal Processing
Digital Signal Processing Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 243 Signals and Systems
Co-requisites:
None
Equivalent Course
ECE 343 Digital Signal Processing
ECE 343L Digital Signal Processing
Laboratory
EEE 344 Digital Signal Processing Laboratory
(1.5 credits) – v1, v2
ECE 344 Digital Signal Processing Laboratory
(1.5 credits) – v1, v2
B. Course Catalog Description (Content):​
In this course an introduction to the basic analysis tools and techniques for
digital processing of signals is given. It begins by introducing some of the
necessary terminology and by describing the important operations, sampling
and quantization, associated with the process of converting an analog signal
to digital form suitable for processing. Students will learn the application of
Nyquist Theorem to control the amount of distortion during the reconstruction
phase. This course will also cover discrete time linear system analysis in the
time-domain, z-transform and its applications, discrete-time Fourier series
(DTFS), discrete-time Fourier transform (DTFT), discrete Fourier transform
(DFT), and their applications in designing digital filters (FIR and IIR). This
course has separate 3 hours/week mandatory laboratory session.
C. Course Objective:​
The objectives of this course are to​
a. Introduce the fundamentals, implementation and applications of digital
signal processing techniques as applied to practical, real world problems.​
b. Provide students with sound understanding and knowledge of information
bearing signals and signal processing in a wide variety of applications
settings, including spectral estimation, instrumentation, control,
communications, signal interpretation and diagnostics and imaging
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Reconstruct signals between analog and digital domain
CO2
Examine digital signals in different domains ( Z Domain and
Fourier Domain)
CO3
Design FIR/IIR filters using different techniques and
requirements
CO4
Recognize the need for learning new concepts and applications
in digital signal processing field
CO5
Investigate digital signal properties and characteristics by setting
up appropriate simulation models and/or experiments and
analysis of results
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t Tools
domain/lev
and
el
activities
EEE 343 Digital Signal Processing
CO1
Reconstruct signals
a
between analog and
Cognitive/
Lecture,
Assignment
Create
Notes
, Quiz,
digital domain
CO2
Examine digital
signals in different
domains ( Z Domain
and Fourier Domain)
Exam
a
Cognitive/
Lecture,
Assignment
Analyze
Notes
, Quiz,
Exam
CO3
Design FIR/IIR filters
c
Cognitive/
using different
Lecture
Create
Assignment
, Project
techniques and
requirements
CO4
Recognize the need
l
Cognitive/
Independe
Research/
for learning new
Understand
nt
Case-study
concepts and
, Affective/
research/
report
applications in digital
Valuing
case study
signal processing field
EEE 343L Digital Signal Processing Laboratory
CO5
Investigate digital
d
signal properties and
Cognitive/
Lab Work
Evaluate
Open
ended Lab
characteristics by
setting up appropriate
simulation models
and/or experiments
and analysis of results
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
n Year
Edition
Publisher
ISBN
01
Digital
J. G.
2006
4th
Pearson
13:
Signal
Proakis
97801318737
Processing,
and G.
42
Principles,
Manolakis
Algorithms
and
Application
s
02
Discrete-ti
Oppenhei
me Signal
Processing
2010
3rd
Prentice-
13:
m,
Hall
978-0131988
Schafer
Signal
422
and Buck
Processin
g Series
EEE 359 Engineering Project Management
A. Course General Information:
Course Code:
EEE 359
Course Title:
Engineering Project Management
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
School/Program Core
Type:
Required, Engineering , Lecture
Prerequisites:
ENG 102 English Composition
HUM 103 Ethics and Culture
Co-requisites:
None
Credit requirements:
At least 65 credit hours completed
Equivalent Course
ECE 359 Engineering Project Management
B. Course Catalog Description (Content):​
The course introduces fundamental principles and components of project
management from the initiation, planning, execution, monitoring, controlling
and closeout in an engineering context. Topics include project initiation,
cost-benefit estimation, budgeting, work plans and scheduling, tracking work,
resource allocation, project coordination, project monitoring and control
including cost, schedule, scope and quality management, risk management
and change management, leadership and team management, conflict and
negotiations, ethics, and professional responsibility and close out
C. Course Objectives:​
The objectives of this course are to​
a. Enable students to understand fundamental principles, process and
components of engineering project management​
b. Prepare students to plan, develop, manage, lead, and successfully
implement and deliver engineering projects​
c. Enable students to apply cost-benefit analysis and considerations in
economic-decision making process related to engineering project.​
d. Allow students to develop communication skills required in project
management​
e. Prepare students to develop team-building capabilities for an effective
project implementation
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
Course Outcome
CO1
Explain the basics of project management principles, process,
life cycle and interrelationship of various components
CO2
Develop a project plan, schedule, cost-estimation and budget,
project risks.
CO3
Use the appropriate project management tools to manage
engineering project
CO4
Prepare cost-benefit analysis in economic-decision process
related to engineering project development
CO5
Communicate various stages of project progress to stakeholders
through writings, technical reports, deliverables and oral
presentations
CO6
Display the ability to contribute effectively as a member or leader
in an engineering project development team
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO1
CO Description
Explain the basics of
POs
k
project management
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
Cognitive/
Lecture
Understand
Assignment
, Quiz,
principles, process, life
Exam,
cycle and
interrelationship of
various components
CO2
Develop a project plan,
k
schedule,
Cognitive/
Lecture
Apply
Project,
Assignment
cost-estimation and
budget, project risks.
CO3
Use the appropriate
k
project management
Cognitive/
Lecture
Apply
Project,
Assignment
tools to manage
engineering project
CO4
Prepare cost-benefit
analysis in
economic-decision
process related to
k
Cognitive/
Apply
Lecture
Case
Study,
Project
engineering project
development
CO5
Communicate various
j
Psychomot
Report
Project
stages of project
or/
Writing
report and
progress to
Precision
workshop
presentatio
stakeholders through
n
writings, technical
reports, deliverables
and oral presentations
CO6
Display the ability to
i
Affective/
Discussion
Project
contribute effectively
Organizatio
on
review,
as a member or leader
n
Team-build
Peer-evalu
in an engineering
ing
ation
project development
activities
team
EEE 369 Professional Practice, Engineers and Society
A. Course General Information:
Course Code:
EEE 369
Course Title:
Professional Practice, Engineers and Society
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+0
Laboratory):
Category:
School/Program Core
Type:
Required, Engineering , Lecture
Prerequisites:
ENG 102 English Composition
HUM 103 Ethics and Culture
Co-requisites:
None
Credit requirements:
At least 65 credit hours completed
Equivalent Course
ECE 369 Professional Practice, Engineers and
Society
B. Course Catalog Description (Content):​
This course is designed to introduce undergraduate engineering students to
the concepts, theory and practice of engineering professional ethics in the
global and social context of contemporary engineering practices. This course
will help students to explore what engineers do, to understand the social,
political, legal, and economic responsibility and accountability of the
engineering profession as well as how engineering practice plays vital role in
the development of sustainable growth. It will also allow students how to apply
classical moral theory and take informed ethical decisions in engineering
issues encountered in professional careers. The assessment of this course
will be based on case-study and assignment based reports.,presentations only
​
C. Course Objectives:​
The objectives of this course are to​
a. Enable student to understand their role and responsibilities as engineering
professionals through gaining knowledge of moral values, philosophies,
professional code of ethics and practices​
b. Prepare students to be able to take informed ethical decisions when
confronted with problems in the working environment​
c. Develop students’ ability to assess the impact of engineering solutions in
the broader societal and environmental context​
d. Enable students to evaluate the sustainability of engineering solutions​
e. Improve students’ communication skills in regard to ethical and
professional issues in engineering practice
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
Course Outcome
CO1
Identify and value the responsibility of the engineers in regard to
social, cultural, economic, legal, health, safety and welfare
relevant to electrical and electronic engineering solutions and
practice.
CO 2
Evaluate the sustainability and impact of the electrical and
electronic engineering solutions in the broader societal and
environmental context
CO 3
Resolve competing and complex ethical issues related to the
electrical and electronic engineering solutions and professional
practices
CO4
Communicate effectively with regard to ethical, professional,
societal and environmental issues in electrical and electronic
engineering practices and solutions.
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
CO1
Identify and value the
f
Cognitive/
Lecture
Assignmen
responsibility of the
Analyze,
notes,
t, Case
engineers in regard to
Affective/
class room
study
social, cultural,
Valuing
discussion
report
economic, legal,
and/or
health, safety and
presentatio
welfare relevant to
n
electrical and
electronic engineering
solutions and practice.
CO 2
Evaluate the
g
Cognitive/
Lecture
Assignmen
Evaluate
notes,
t, Case
impact of the electrical
class room
study
and electronic
discussion
report
sustainability and
engineering solutions
and/or
in the broader societal
presentatio
and environmental
n
context
CO 3
Resolve competing
Affective/
Lecture
Assignmen
Valuing
notes,
t, Case
issues related to the
class room
study
electrical and
discussion
report
and complex ethical
h
electronic engineering
and/or
solutions and
presentatio
professional practices
n
CO4
Communicate
j
Affective/
Lecture
Written
effectively with regard
Valuing​
notes,
report, Oral
to ethical,
Psychomot
class room
presentatio
professional, societal
or/
discussion
n
and environmental
Precision
issues in electrical and
electronic engineering
practices and
solutions.
EEE 373 Embedded System Design – v3​
EEE 365 Microprocessor and Interfacing – v1, v2​
EEE 373L Embedded System Design Laboratory – v3​
EEE 366 Microprocessor and Interfacing Lab. (1.5 credits) – v1, v2
A. Course General Information:
Course Details
Course Code:
EEE 373
EEE 373L
Course Title:
Embedded System Design
Embedded System Design Laboratory
Credit Hours (Theory +
3+1
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
EEE 103 Computer Programming
EEE 283 Digital Logic Design
EEE 283L Digital Logic Design Laboratory
Co-requisites:
None
Equivalent Course
ECE 373 Embedded System Design
EEE 365 Microprocessor and Interfacing – v1,
v2
ECE 365 Microprocessor and Interfacing – v1,
v2
ECE 373L Embedded System Design
Laboratory
EEE 366 Microprocessor and Interfacing Lab.
(1.5 credits) – v1, v2
ECE 366 Microprocessor and Interfacing Lab.
(1.5 credits) – v1, v2
B. Course Catalog Description (Content):​
This course the fundamentals of embedded system hardware and firmware
design will be explored. An overview of GCC fundamental, Assembly and C
language programming is provided. This is followed by an in-depth discussion
of different peripheral modules of the Microcontroller, such as, Analogue to
Digital Converter (ADC); Interrupts; Timers/Counters, and their applications in
the design of various Microcontroller based systems such as, Signal
Generation; Motor Control; Sensor and Transducers; Serial Communication,
Integrating Bluetooth Module; Integrating WiFi Module; Integrating GSM
Module; Introduction to Raspberry pi module and Python; Fundamental of IoT;
Programming Node MCU; IoT Server setup; The course will culminate with a
significant final project on IoT. This course has separate 3 hours/week
mandatory laboratory session.
C. Course Objective:​
The objectives of this course are to:​
a. familiarize students with the basic architecture of microprocessor and
microcontrollers, and provide them with a sound understanding of different
peripheral modules, their operation mechanism and interfacing with external
devices for various applications.​
b. enable the students to develop the ability to design and implement
microcontroller-based embedded systems using state-of-the-art software
tools.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Explain the basic architecture and operation of microprocessor
and microcontrollers, peripheral modules, as well as their
interfacing with
CO2
Apply the major peripherals of the AVR microcontrollers to
solve problems in interfacing to electronic devices.
CO3
Design microcontroller based embedded systems that meets
specified requirements
CO4
Use appropriate hardware and software tools to develop
embedded systems
CO5
Demonstrate the embedded system design concept, process
and findings to the broader audience through reports and
presentations
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/lev
and
el
activities
EEE 373 Embedded System Design
CO1
Explain the basic
architecture and
operation of
microprocessor and
microcontrollers,
peripheral modules,
as well as their
interfacing with
external devices for
various applications
a
Cognitive /
Lectures,
Quiz,
Understand
notes
Assignment
, Exam
CO2
Apply the major
a
peripherals of the
Cognitive /
Lectures,
Quiz,
Apply
notes
Assignment
microcontrollers to
, Exam
solve problems in
interfacing to
electronic devices.
EEE 373L Embedded System Design Laboratory
CO3
Design
c
microcontroller based
Cognitive /
Lectures,
Create
notes
embedded systems
Design
that meets specified
Project
Project
requirements
CO4
Use appropriate
hardware and
e
Cognitive/
Lectures,
Lab Work,
Apply,
notes Lab
Lab Exam,
sessions
Project
software tools to
develop embedded
Psychomot
systems
or/
Precision
CO5
Demonstrate the
j
Psychomot
Lab
Project
embedded system
or/
sessions,
Report,
design concept,
Precision
Design
Presentatio
process and findings
Affective /
Project
n
to the broader
Valuing
Edition
Publisher
ISBN
Xth Ed
Prentice
audience through
reports and
presentations
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
n Year
1
The AVR
M. A.
2011
microcontrolle
Mazidi, S.
Hall
r and
Naimi and
(PEARSO
embedded
S. Naimi
N)
System –
Using
Assembly and
C
2
Embedded C
Richard
Programmin
H.
Cengage
g and the
Barnett,
Learning
Atmel AVR
Sarah
Cox,
2007
2nd Ed
Delmar
Larry
O'Cull
EEE 382 Modelling and Simulation
A. Course General Information:
Course Code:
EEE 382
Course Title:
Modelling and Simulation
Credit Hours (Theory +
0+1
Laboratory):
Contact Hours (Theory +
0+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Laboratory
Prerequisites:
EEE 282 Numerical Techniques
EEE 305 Control System
EEE 305L Control System Laboratory
EEE 308 Electronic Circuit II
EEE 308L Electronic Circuit II Laboratory
Equivalent Course
ECE 382 Modelling and Simulation
B. Course Catalog Description (Content)​
Modeling and Simulation is an essential tool for engineers for optimum design
of dynamic systems and the course introduces the students the fundamentals
of generating models of dynamic systems and implementation of the models
using computer simulations in order to gain insight of any existing systems
and to design of any system. The course essentially integrates and applies the
knowledge gained in diverse and apparently disparate ranges of courses:
mathematics, programming language, electrical and electronic circuit analysis,
numerical techniques, signals and systems, control systems etc. The course
starts with the Introduction to modelling and simulation, Principles of
modelling in order to provide the fundamentals of modelling of systems. It
then continues with the standard forms for system models and modelling of
dynamic systems, which incorporate the following subsections: generation of
system equations, electrical systems, linearity and nonlinearity of systems.
Diverse methods of model representation: Differential equation, Laplace
equations, input/output equation, stochastic models, state-space model: state
variable formulation, nonlinear systems modeling are covered in the course.
Implementation of the models are realized using computer simulation with
MATLAB/Simulink. Finally, the following topics: introduction to system
identification, parameter estimation, and optimization with modeling of
engineering problems will enable the students to developing fundamental, but
understanding of modelling and simulation of any dynamic system.
C. Course Objective:​
The objectives of this course are to :​
a. Provide knowledge of the basic steps of modelling of dynamic systems.​
b. Enable students to generate mathematical equations from observation of
the behavior of the dynamic system.​
c. Enable the students to formulate state-space models.​
d. Provide the skills to linearize nonlinear models.​
e. Develop and employ the skills of simulation techniques to analyze/design,
system identification and parameter estimations of systems.​
f. Provide students with sound understanding and knowledge of programming
and efficient coding to implement different numerical methods and concepts.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Illustrate a linear system through differential equation, transfer
function, magnitude, impulse and step response
CO2
Apply the concept of state-space representation to model linear
and nonlinear systems
CO3
Demonstrate the linearization of nonlinear system models
CO4
Develop a suitable model for a given system, with proper
reasoning of the selection of model type and order, and compute
the model error
CO5
Use appropriate simulation tools to simulate a given linear and
non-linear system or model
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s taxonomy
Delivery
Assessmen
domain/level
methods
t tools
and
activities
CO1
Illustrate a linear
Lab
Assignmen
system through
Lecture,
t, Lab
differential
Notes
Work, Lab
equation, transfer
function,
magnitude,
a
Cognitive/ Apply
Exam
impulse and step
response
CO2
Apply the
a
Cognitive/ Apply
Lab
Assignmen
concept of
Lecture,
t, Lab
state-space
Notes
Work, Lab
representation to
Exam,
model linear and
Project
nonlinear
systems
CO3
Demonstrate the
a
Cognitive/ Create
Lab
Assignmen
linearization of
Lecture,
t, Lab
nonlinear system
Notes
Work, Lab
models
CO4
Develop a
Exam
Lab
Assignmen
suitable model
Lecture,
t, Project
for a given
Notes
system, with
proper reasoning
of the selection
of model type
and order, and
compute the
model error
e
Cognitive/ Create
CO5
Use appropriate
e
Cognitive/ Apply
Lab
Assignmen
simulation tools
Psychomotor/Mani
Class,
t, Lab
to simulate a
pulation
Lectures,
Work, Lab
Tutorial
Exam,
given linear and
non-linear
Project
system or model
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
Edition
Publisher
ISBN
2nd
CRC
13:
Press
978-143983
n Year
1
Simulation
Harold
of Dynamic
Klee &
2011
Systems
6736
with
Randal
MATLAB
Allen
and
Simulink
2
Modeling
Charles
and Analysis
Lippincott
13:
M. Close,
Williams
978-812653
of Dynamic
Dean K.
& Wilkins
9291
Systems
Frederick,
Jonathan
C. Newel
2012
3rd
EEE 383 Electronic System Design
A. Course General Information:
Course Code:
EEE 383
Course Title:
Electronic System Design
Credit Hours (Theory +
0+1
Laboratory):
Contact Hours (Theory +
0+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Laboratory
Prerequisites:
EEE 308 Electronic Circuits II
EEE 308L Electronic Circuits II Laboratory
EEE 359 Engineering Project Management
Co-requisites:
None
Equivalent Course
ECE 383 Electronic System Design
B. Course Catalog Description (Content):​
This subject will explore the design of various electrical and electronic
systems and provide students with a range of common and practical design
techniques and circuits in the context of a laboratory based project. The
course will start with the basics of any electronic system – component
selection, PCB Designing and soldering. The students will then design
subsystems which will include Phase-locked loops and frequency synthesis,
variable frequency oscillators, tunable filters, power supply design with
protection and sensor arrangements. The students will be assigned with the
responsibility to investigate the electronic sub-systems they have learnt and
incorporate two or more of them to design an electronic system of their own in
groups.
C. Course Objective:​
The objective of this course are to:​
a. Provide students with the basics of single and double layered Printed
Circuit Board (PCB) design and efficient component selection and bill of
material preparation​
b. Enable students to integrate different electrical and electronic subsystems
to form a full-fledged electronic system​
c. Introduce basic performance requirements of some common electronic
subsystems and provide hands-on experience in their design
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Design and Implement fully functional electronic system by
integrating different sub-systems
CO2
Demonstrate engineering project management and economic
decision-making skills in electronic system design project
CO3
Perform effectively as an individual as well as a member of a
team to develop electronic system design project
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO1
CO Description
Design and
POs
c
Implement fully
Bloom’s
Delivery
Assessmen
taxonomy
methods
t
domain/leve
and
l
activities
tools
Cognitive/
Lab Class
Project
Create
review
functional electronic
system by integrating
different sub-systems
CO2
Demonstrate
k
engineering project
Cognitive/
Lab class
Apply
Project
review
management and
economic
decision-making skills
in electronic system
design project
CO3
Perform effectively as
an individual as well
i
Affective/
Lab class
Valuing
Project
Review,
as a member of a
Peer-evalu
team to develop
ation
electronic system
design project
EEE 384 Electrical Service Design
A. Course General Information:
Course Code:
EEE 384
Course Title:
Electrical Service Design
Credit Hours (Theory +
0+1
Laboratory):
Contact Hours (Theory +
0+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Laboratory
Prerequisites:
EEE 321 Power Systems I
EEE 321L Power Systems I Laboratory
EEE 359 Engineering Project Management
EEE 369 Professional Practice, Engineers and Society
Co-requisites:
None
B. Course Catalog Description (Content):​
This course introduces the design of electrical building services, i.e. electrical
systems and installations that provide power, movement, communication,
comfort and safety in modern buildings. The course will start with the idea of
basic electrical appliances, fitting and fixtures of a building. The students will
learn how to design the fitting and fixtures layout, conduit layout, switchboard
and distribution board connection diagram using AutoCAD. The students will
also have a brief idea about the rating of wires, building hazards, protecting
devices, illumination and design of substation. They will learn about total load
calculation of a building, renewable energy incorporation and electrical cost
calculation. In the end, the students will be assigned a project where they have
to design the electrical systems of a building and give a cost estimation based
on the loads.
C. Course Objective:​
The objectives of this course are to​
a. help students understand the basic concept of fitting and fixture design,
conduit layout design and power supply distribution design​
b. enable students to develop a knowledge of cable ratings, substation design,
protecting devices and earthing and grounding​
c. provide students a basic idea of load calculation and cost estimation​
d. equip students with necessary skills to use AutoCAD to draw electrical
engineering drawings
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Design electrical service systems and installations of a building
considering given specifications and constraints and applicable
standards and codes
CO2
Assess the impact of health, safety, legal and societal issues in
designing of electrical service system of buildings
CO3
Assess the environmental impact and sustainability of the
electrical service design of buildings
CO4
Identify the professional ethics, responsibilities and norms of
engineering practices in electrical service design and installation
CO5
Communicate effectively with stakeholders of an electrical
service design project using appropriate technical report,
drawings, documentations etc.
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods and
t tools
domain/lev
activities
el
CO1
Design electrical
c
service systems and
Cognitive/
Lab class,
Assignment
Create
Discussion
, Project
Cognitive/
Discussion,
Assignment
Evaluate
Case study
, Project
installations of a
building considering
given specifications
and constraints and
applicable standards
and codes
CO2
Assess the impact of
health, safety, legal
and societal issues in
designing of electrical
service system of
buildings
f
CO3
Assess the
g
environmental impact
Cognitive/
Discussion,
Assignment
Evaluate
Case study
, Project
Cognitive/
Discussion,
Project,
Understand
Case study
Case study
and sustainability of
the electrical service
design of buildings
CO4
Identify the
h
professional ethics,
responsibilities and
report
norms of engineering
practices in electrical
service design and
installation
CO5
Communicate
j
Psychomot
Producing
design
effectively with
or/
design
drawing
stakeholders of an
Precision
drawing,
Report,
electrical service
preparing
presentatio
design project using
presentation
ns,
appropriate technical
s, reports,
report, drawings,
documentati
documentations etc.
ons etc.
F. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
POs
Bloom’s
Delivery
Assessmen
taxonomy
methods and
t tools
domain/lev
activities
el
CO1
Design electrical
c
Cognitive/
Lab class,
Assignmen
Create
Discussion
t, Project
Cognitive/
Discussion,
Assignmen
Evaluate
Case study
t, Project
Cognitive/
Discussion,
Assignmen
Evaluate
Case study
t, Project
Cognitive/
Discussion,
Assignmen
professional ethics,
Understand
Case study
t, Project
responsibilities and
,
service systems and
installations of a
building considering
given specifications
and constraints and
applicable standards
and codes
CO2
Assess the impact of
f
health, safety, legal
and societal issues in
designing of electrical
service system of
buildings
CO3
Assess the
g
environmental impact
and sustainability of
the electrical service
design of buildings
CO4
Identify the
h
norms of engineering
practices in electrical
Affective/
Valuing
service design and
installation
CO5
Communicate
j
Psychomot
Producing
Project
effectively with
or/
design
(Reports
stakeholders of an
Precision
drawing,
and
electrical service
preparing
Presentatio
design project using
presentation
n)
appropriate technical
s, reports,
report, drawings,
documentati
documentations etc.
ons etc.
EEE 385 Machine Learning​
EEE 385IL Machine Learning Laboratory
A. Course General Information:
Course Code:
EEE 385
EEE 385IL
Course Title:
Machine Learning
Machine Learning Laboratory
Credit Hours (Theory +
3+0
Laboratory):
Contact Hours (Theory +
3+3
Laboratory):
Category:
Program Core
Type:
Required, Engineering, Lecture + Laboratory
Prerequisites:
STA 201 Elements of Statistics and Probability​
MAT 216 Mathematics IV Linear Algebra and
Fourier Analysis​
EEE 103 Computer Programming
Co-requisites:
None
Equivalent Course
ECE 385 Machine Learning
ECE 385IL Machine Learning Laboratory
B. Course Catalog Description (Content):​
Machine learning is the science of getting computers to act without being
explicitly programmed. In this class, students will learn about the most
effective machine learning techniques, and gain practice implementing them
and getting them to work for themselves. Students will learn about not only the
theoretical underpinnings of learning, but also gain the practical know-how
needed to quickly and powerfully apply these techniques to new problems.
This course provides a broad introduction to machine learning, data mining,
and statistical pattern recognition. Topics include: Supervised learning
(parametric/non-parametric algorithms, support vector machines, kernels,
neural networks), Unsupervised learning (clustering, dimensionality reduction,
PCA), Neural Networks, Deep learning, Best practices in machine learning
(bias/variance theory; innovation process in machine learning and AI). The
course will also draw from numerous case studies and applications, so that
student will also learn how to apply learning algorithms to building smart
robots (perception, control), text understanding (web search, anti-spam),
computer vision, medical informatics, audio, database mining, and other
areas. This course has 3 hours/week mandatory integrated laboratory session
(EEE385IL).
C. Course Objective:​
The objectives of this course are to​
a. Introduce the core concepts and fundamental elements of machine learning.​
b. Provide students with sound understanding and knowledge of practical
applications of different forms of machine learning techniques.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Description
CO1
Discuss the core concepts of Logistic Regression.
CO2
Analyze the performance of different machine learning
algorithms through various evaluation metrics.
CO3
Design neural network systems for classification, segmentation
or object detection from different forms of data.
CO4
Apply the knowledge of machine learning to develop practical
problem solving system.
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO1
CO Description
Discuss the core
concepts of Logistic
Regression.
POs
a
Bloom’s
Delivery
Assessmen
taxonomy
methods
t tools
domain/leve
and
l
activities
Cognitive/
Lecture,
Quiz,
Understand
Notes
Assignmen
t, Exam
CO2
Analyze the
a
performance of
Cognitive/
Lecture,
Assignmen
Analyze
Notes
t, Exam,
different machine
Project
learning algorithms
through various
evaluation metrics.
CO3
Design neural network
c
systems for
Cognitive/
Lecture,
Assignmen
Create
Notes
t, Project
Cognitive/
Lectures,
Assignmen
Apply
Tutorial
t, Lab
classification,
segmentation or
object detection from
different forms of data.
CO4
Apply the knowledge
a
of machine learning to
develop practical
Work,
problem solving
Project
system.
F. Text and Reference Books:
Sl.
Title
Author(s)
Publicatio
n Year
Edition
Publisher
ISBN
01
Hands-On
Aurélien
Machine
Géron
2017
1st
O’ Reilly
13:
Media
978-149196
Learning
2299
with
Scikit-Learn
and
TensorFlow.
02
Deep
François
Learning
Chollet
2017
1st
with Python
03
MATLAB
Michael
Machine
Paluszek
2016
1st
Manning
13:
Publicatio
978-161729
ns
4433
Apress
13:
978-148422
Learning
2492
Final Year Design Project
EEE 400 Final Year Design Project (6 Credits) – V1, V2​
EEE 499 Final Year Design Project (4 Credits) – V3
A. Course General Information:
Course Code and Title
Credit
Contact
Hours
Hours/Wee
Goal
Semester
Problem
Semester 1 of
Identification
final year
and Project
design project
k
EEE 400P Final Year
2
3
Design Project
EEE 499P Final Year
Proposal
1
Design Project
EEE 400D Final Year
2
3
Design Project
Design and
Semester 2 of
Development
final year
design project
EEE 499D Final Year
1.5
Design Project
EEE 400C Final Year
2
Design Project
EEE 499C Final Year
3
Validation and Semester 3 of
Project
final year
Completion
design project
1.5
Design Project
Category:
Program Core
Type:
Prerequisite
EEE 400P
s
Required, Engineering
MGT211,ACT201, EEE223, EEE224, EEE305,
EEE306, EEE341, EEE342, EEE343, EEE344,
EEE365, EEE366
EEE 400D
EEE 400P
EEE 400C
EEE 400 D
EEE 499P
EEE305, EEE305L, EEE341, EEE341L, EEE343,
EEE343L, EEE359, EEE369, EEE373, EEE373L,
EEE 382, EEE383, EEE384
EEE 499D
EEE 499P
EEE 499C
EEE 499D
Co-requisites:
None
Credit requirements:
At least 100 credit hours completed
B. Course Catalog Description (Content):​
The Final Year Design Project (FYDP) is the first step towards transferring
students experience from the academic environment to the industry. The
course provides a culminating assessment of the students by applying and
integrating their previously acquired knowledge to the solution of complex
electrical and electronic engineering problem. The primary focus of the Final
Year Design Project is to improve the students' technical skills,
communication skills and teamwork opportunities through an electrical and
electronic engineering project development work. It also focuses on variety of
non-technical issues such as professional and ethical responsibilities and
practices, safety, reliability, legal cultural, social and environmental impacts as
well as sustainability of engineering solution
The Final Year Design Project course consists of two parts: Instructional Part
and Technical Demonstration Part. The major topics covered in the
Instructional Part include:​
• Overview of the Final Year Design Project course, student learning outcomes,
expectation, assessment, checklist etc.​
• Introduction to engineering design process including formulation of problem,
analysis of objectives, specifications and requirements, consideration of
realistic constraints, engineering standards and impact of engineering
solutions, design of solution, implementation, evaluation and validation of the
solution​
• Review of project proposal preparation, estimating, project management and
scheduling etc.​
• Review of engineering ethics and professional practices​
• Safety in engineering design.​
• Contemporary issues and life-long learning​
• Report writing and presentation techniques​
• Teamwork building
The Technical Demonstration part primarily includes various activities
including (but not limited to):​
• Literature review and research​
• Identification and formulation of project problem​
• Analysis of objectives, specifications and requirements,​
• Project plan, proposal and management​
• Implementation of design process​
• Design reviews, simulation and finalization​
• Development of solution, testing and validation​
• Documentation, drawings, written reports, oral presentation etc.
C. Course Objectives:​
The objectives of the Final Year Design Project are to:​
a. Provide students opportunity to apply and integrate their previously
acquired engineering knowledge to the solution of engineering problem​
b. Enhance student’s creativity in analyzing and solving complex and possibly
real-world engineering problems.​
c. Train students with skills on systematic design and development process
and documentation to the solution of engineering project​
d. Prepare student to develop and enhance self-learning ability.​
e. Prepare students experience of engineering project development that will be
useful in their industrial careers.​
f. Aware students regarding professional practices, norms and ethical
responsibilities in regards to designing engineering solution​
g. Prepare student to understand and evaluate the impact of engineering
solutions to the society, health, safety, reliability, legal, cultural social​
h. Prepare students to understand and evaluate the sustainability and impact
of engineering solution towards environment​
i. Create an environment to promote team approach in engineering problem
solving​
j. Develop communication skill among students through complex activities,
technical report writing, oral presentations etc.
D. Course Outcomes (COs):​
Upon successful completion of this course, students will be able to
Sl.
CO Definition
CO1
Identify a solvable complex engineering problem preferably
relevant to the current and future industry through appropriate
research
CO2
Identify the objectives, specifications, functional and
non-functional requirements, and constraints as well as
applicable compliance, standards and codes of practice to the
solution of the engineering problem
CO3
Assess the impact of the solution of the engineering project in
terms of societal, health, safety, legal and cultural context
CO4
Evaluate the sustainability and impact of solution of the
proposed project in terms of environmental consideration
CO5
Design multiple engineering solutions of the problem to meet
the desired objectives, need and requirements within the given
constraints
CO6
Analyze alternative design solutions of engineering problem in
order to find the most appropriate one considering cost,
efficiency, usability, manufacturability, impact, sustainability,
maintainability etc.
CO7
Evaluate the performance of the developed solution with respect
to the given specifications, requirements and standards
CO8
Complete the final design and development of the solution with
necessary adjustment based on performance evaluation
CO9
Use modern engineering and IT tools to design , develop and
validate the solution
CO10
Conduct independent research, literature survey and learning of
new technologies and concepts as appropriate to design,
develop and validate the solution
CO11
Demonstrate project management skill in various stages of
developing the solution of engineering design project
CO12
Perform cost-benefit and economic analysis of the solution
CO13
Apply ethical considerations and professional responsibilities in
designing the solution and throughout the project development
phases
CO14
Perform effectively as an individual and as a team member for
successfully completion of the project
CO15
Communicate effectively through writings, journals, technical
reports, deliverables, presentations and verbal communication
as appropriate at various stages of project development
E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:
Sl.
CO Description
PO
Bloom’s
Assessment
Taxonomy
Tools
Domain/Level
CO1
Identify a solvable complex
engineering problem
preferably relevant to the
current and future industry
through appropriate
research
l
Cognitive/
· Project
Understand
Concept Note
CO2
Identify the objectives,
c
specifications, functional
Cognitive/
· Project
Apply
Concept Note
Cognitive/
· Project
Evaluate
Proposal Report
Cognitive/
· Project
Evaluate
Proposal Report
Cognitive/
· Design
Create
Report
and non-functional
requirements, and
constraints as well as
applicable compliance,
standards and codes of
practice to the solution of
the engineering problem
CO3
Assess the impact of the
f
solution of the engineering
project in terms of societal,
health, safety, legal and
cultural context
CO4
Evaluate the sustainability
g
and impact of solution of the
proposed project in terms of
environmental consideration
CO5
Design multiple engineering
solutions of the problem to
meet the desired objectives,
need and requirements
within the given constraints
c
CO6
Analyze alternative design
b
solutions of engineering
Cognitive/
· Design
Evaluate
Report
Cognitive/
·
Evaluate
Demonstration
problem in order to find the
most appropriate one
considering cost, efficiency,
usability, manufacturability,
impact, sustainability,
maintainability etc.
CO7
Evaluate the performance of
d
the developed solution with
respect to the given
of working
specifications, requirements
prototype
and standards
· Project
Progress Report
on working
prototype
CO8
Complete the final design
and development of the
c
Cognitive/
· Project Final
Create
Report
solution with necessary
adjustment based on
· Final
performance evaluation
Presentation
·
Demonstration
at FYDP
Showcase
CO9
Use modern engineering
e
Cognitive/
· Design
and IT tools to design ,
Understand,
Report
develop and validate the
Psychomotor/
solution
Precision
· Project Final
Report
CO10
Conduct independent
l
research, literature survey
Cognitive/
· Design
Apply
Report,
and learning of new
technologies and concepts
· Project Final
as appropriate to design,
Report
develop and validate the
solution
CO11
Demonstrate project
Cognitive/
· Project
Apply
Proposal Report
solution of engineering
Affective/
· Design
design project
Valuing
Report
management skill in various
k
stages of developing the
· Project Final
Report
· Project
Progress
presentation at
various stages
CO12
Perform cost-benefit and
k
Cognitive/
· Project Final
Apply
Report
Cognitive/
·
Apply
Peer-evaluation,
the solution and throughout
Affective/
· Instructor’s
the project development
Valuing
Assessment
economic analysis of the
solution
CO13
Apply ethical considerations
h
and professional
responsibilities in designing
phases
· Final Report
CO14
Perform effectively as an
Affective/
·
individual and as a team
Characterizati
Peer-evaluation
member for successfully
on
completion of the project
i
· Instructor’s
Assessment
CO15
Communicate effectively
Cognitive/
· Project
Understand
Concept Notes,
deliverables, presentations
Psychomotor/
· Project
and verbal communication
Precision
Proposal Report
Affective/
· Design
Valuing
Report, Project
through writings, journals,
j
technical reports,
as appropriate at various
stages of project
development
Final Report
· Progress
Presentations,
· Final
Presentation
·
Demonstration
at FYDP
Showcase