The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
Course Name: Statistics
Course Code: MATH505
I. Basic Course Information
Program(s) on which the course is given: [Computer Engineering]
Core or elective element of program: core
Department offering the course: Basic science department-Math Section
Academic level: 3rd level
Semester in which course is offered: Fall
Course pre-requisite(s): Mathematics IV- MATH 204
Credit Hours: 3hrs
Contact Hours Through: 5
Lecture
2.0
Tutorial*
3.0
Practical*
0.0
Total
5
Approval date of course specification:
II. Overall Aims of Course
This course aims:
To provide the student with a clear and detailed presentation of the statistics. Upon
completion of this course, participants will be able to: Appreciate the value of
exploratory methods in preliminary data analysis. Explore, characterize and identify
problems and trends in data using graphical tools. Use descriptive statistics to
summarize data. Master the concepts of hypothesis testing, confidence intervals, risk
and power. Perform the appropriate statistical test based on the study objective.
Analyze data more quickly and more accurately. Interpret results reliably and
confidently
III. Program ILOs covered by course
Program Intended Learning Outcomes (By Code)
Knowledge &
Intellectual Skills
Professional Skills
Understanding
K1, K5
I1, I3
P1, P6
General
Skills
G1, G6
1
The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
IV. Intended Learning Outcomes of Course (ILOs)
a. Knowledge and Understanding
On completing the course, students should be able to:
[k1. Classify the different rules of probabilities
k2. Recognize the different methods used to solve joint probability
k3. Define the Probability density function
k4. Discuss the methods of pdf function
k5. Explain the Uniform and Gaussian distribution ]
b. Intellectual/Cognitive Skills
On completing the course, students should be able to
:i1. Categorize the problems probabilities
i2. Develop the idea of joint and Gaussian distribution .
c. Practical/Professional Skills
On completing the course, students should be able to:
p1. Solve a problems using the appropriate methods.
p2. Apply numerical methods
p3. Compute power from Pdf signals
p4. Apply and analyze the measuring instruments, workshops and laboratory equipment to
design experiments
p5. Apply different tests to study the convergence of sequences and series of numbers.
d. General and Transferable Skills
On completing the course, students should be able to
:g1. React with each other through brain storming questions.
g2. Use the available resources effectively.
V. Course MatrixContents
Main Topics / Chapters
1234567-
Duration
(Weeks)
Probabilities Theory
Joint Probabilities
Probability density function
Uniform Distribution
Gaussian Distribution
2
2
3
2
3
Net Teaching Weeks
12
Course ILOs Covered by Topic
(By ILO Code)
K&U
I.S.
P.S.
G.S.
k1
i1
p1
g1, g2
k2
i1
p1
g1, g2
k3
i1
p1, p2
g1, g2
k4, k5
i1
p1
g1, g2
k5
p3, p4
g1, g2
i2
p5
g1, g2
VI. Course Weekly Detailed Topics / hours / ILOs
Week
No.
Sub-Topics
Total
Hours
Contact Hours
Theoretical
Practical
Hours
Hours*
2
5
2
Measures of Location
Measures of variation
5
2
3
3
Possibilities and Probabilities
5
2
3
1
2
The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
4
5
6
7
8
9
10
11
12
13
14
15
Rules of Probabilities
Probability Distributions
Probability Distributions
Normal Distributions
Normal Distributions
Test of Hypotheses
Test of Hypotheses
Regression
Correlation Tests)
Revision
5
5
5
Midterm Exam
5
5
5
5
5
5
5
Final Exam
2
2
2
3
3
3
2
2
2
2
2
2
2
3
3
3
3
3
3
3
Total Teaching Hours
Teaching/Learning
Method
Selected
Method
VII. Teaching and Learning Methods
Lectures & Seminars
Tutorials
Computer lab Sessions
Practical lab Work
Reading Materials
Web-site Searches
Research & Reporting
Problem Solving /
Problem-based Learning
Projects
Independent Work
Group Work
Case Studies
Presentations
Simulation Analysis
Course ILOs Covered by Method (By ILO Code)
√
√
All
All
Intellectual
Skills
All
All
√
√
All
All
All
All
All
All
g2
g2
√
All
All
All
g2
Assessment
Weight /
Week
No.
K&U
Professional
Skills
All
All
General
Skills
All
All
Others (Specify):
Sel
ect
ed
M
eth
od
VIII. Assessment Methods, Schedule and Grade Distribution
Assessment
Course ILOs Covered by Method
Method
(By ILO Code)
3
The Higher Canadian Institute for Business
and Engineering Technology
Quality Assurance Unit
Course Specification
Midterm Exam
Final Exam
Quizzes
Course Work
Report Writing
Case Study
Analysis
Oral
Presentations
Practical
Group Project
Individual Project
√
√
√
√
K&U
I.S.
P.S.
G.S.
k1, k2, k4
All
k1, k2, k3
All
i1
All
i1
All
p1, p2
All
p1
All
g2
g2
Percentage
All
20%
50%
10%
20%
7
15
3, 5, 9
2, …, 13
Others (Specify):
IX. List of References
Essential Text Books
Course notes
Statistics for Engineers and Scientists
Textbook ISBN #: 978-0-07-110222-3.
Lecture Notes
E. Swokowski, M. Olinick, D. Pence, Calculus, PWS Publishing
Company, Boston, 1994.
Mary Attenborough, Engineering Mathematics, McGraw-Hill
Book Company Europe, 1994.
Antony Croft, Robert Davison, Engineering Mathematics A
modern Foundation for electrical Electronic & Control
Engineering, Addison-Wasley-Publishing Company, 1992.
www.libgen.org



Recommended books

Periodicals, Web sites, 
etc …
X. Facilities required for teaching and learning
Computer-Data show.
Course coordinator: Dr Assem Tharwat
Head of Department: Associate Professor Dr. Tamer Abdel Rahman
Date: 15/9/2013
4