Course Curriculum Pack
This course is aimed at imparting candidates for the Signals and Systems and aims at building the following
key competencies amongst the Students
Program Name
Qualification Pack
Course Name
Version No
Pre-requisite
Course Outcome
BE in Electrical Engineering
QPEE504(B)
Signals and Systems Course Code EE-3005 Weekly Workload in Hours
Theory
Pract. Tut
03
02
01
1.0
Version Update date 03/08/2023
 Differential Equations
 Integral Transform
 Fourier Series
After completion of this course student will be able to :
1. Analyze the properties of Signals & Systems in Continuous Time &
2.
3.
4.
5.
Discrete Time Domain.
Analyze continuous time signals in Time and frequency domain
Represent LTI Continuous Time system in different forms and find its
response.
Analyze discrete time signals in Time domain & evaluate Z Transform.
Represent LTI Discrete Time system in different forms and find its
response.
The Course Encompasses
Sr. No
Units
Key Learning Outcomes
1
Classification of signals
and systems
Theory Duration (hh.mm):
(14.00)
The l Students should be able to:
 LO1 : represent & classify signals &

Systems.
LO2: identify LTI systems.
Practical Duration
(hh.mm): (04:00)
2
3
4
5
Analysis of continuous
time signals
Theory Duration (hh.mm):
12:00
Practical Duration
(hh.mm): (8:00)
The Students should be able to:
 LO3 :
derive Fourier series for
Linear time invariant
continuous time systems
Theory Duration (hh.mm):
7:00
Practical Duration
(hh.mm): 02:00
The Students should be able to:
 LO5: Realize the LTI Continuous
Analysis of discrete time
signals
The Students should be able to:
 LO6: Evaluate Z Transform & DT
Theory Duration (hh.mm):
10:00
Practical Duration
(hh.mm): 02:00
Linear time invariant
discrete time systems
Theory Duration (hh.mm):
7:00
Practical Duration
(hh.mm): 04:00

continuous time signals.
L04 : List and apply properties of
Integral Transform.
Time systems in Differential, State
Space Form.
Fourier Transform for DT Signals.
The Students should be able to:
 LO7: Realize the LTI Disctrete Time
systems in Differential, State Space
Form.
Instructional Objectives
Unit wise Syllabus Details
Sr. No
1
Units
Classification of signals
and systems
Theory Duration (hh.mm):
(14.00)
2
Analysis of continuous
time signals
Theory Duration (hh.mm):
12:00
3
Linear time invariant
continuous time systems
Theory Duration (hh.mm):
07:00
4
5
Analysis of discrete time
signals
Detailed Topic wise Syllabus
References
 Classification of Signals. Step, ramp, pulse, T1,T2














Theory Duration (hh.mm):
10:00



Linear time invariant
discrete time systems
Theory Duration (hh.mm):
07:00





impulse, sinusoidal and exponential signals.
Basic operations on signals (Addition,
Multiplication, Time, Amplitude Scaling
System Definition & classification.
Basic properties of systems – Causality,
Linearity & Stability.
Fourier series and spectrum of CT Signals.
Even and Odd Symmetry
Laplace Transform of Basic Signals.
Properties of ROC
Wavelet transform.
Representation of CT LTI Systems
 Differential equations representation
 Block Diagram representation
 state variable representation
Response of LTI systems
 impulse response
 step response
 frequency response
Analog filters
Convolution sum and properties.
Z transform and properties
Properties of ROC
inverse Z transform
DTFT and properties
Sampling of CT signals and aliasing
Representation of DT LTI Systems
 Differential equations representation
 Block Diagram representation
 state variable representation
Difference equations
Impulse response
Analysis of DT LTI systems using DTFT and Z
transform.
Digital filters.
T1,T2
T1,T2
T1,T2
T1,T2
Text Books/Reference Books
Sr. No
Title of the Book
Author
Edition / volume
Text(T)
Reference (R)
2nd Edition
T2
3rd Edition
T1
1.
Signals and Systems
2.
Signals and Systems
Alan V. Oppenheim, Alan
S. Willsky, S Hamid
Nawab
A. Anand Kumar
3.
Signals and Systems
A. Nagoor Kani
2016
R1
4.
Signals and Systems
Mahmood Nahvi
2015
Indian Edition
R2
5.
Signals and Systems
Simon Haykins
R3
Equipment
Code
--
List of Unique Equipment required
Sr. No
Units
Description of Equipment
1
Classification of signals
and systems
Analysis of continuous
time signals
Study
2
3
Linear time invariant
continuous time systems
4
Analysis of discrete time
signals
5
Linear time invariant
discrete time systems
MATLAB, Simulink
Scilab
MATLAB, Simulink
Scilab
MATLAB, Simulink
Scilab
MATLAB, Simulink
Scilab
M1
S1
M1
S1
M1
S1
M1
S1
Assessment Matrix

LO5


LO6


LO7







Other (Real World
Application/Field Trip)

Prototype making

Role Play

Group Discussions
LO4
Case Study analysis



Research assignments


Presentation



Seminar



Project
5
LO1
LO2
LO3
Tutorial
4
Lab Experiment
3
Practical Experiment
2
Classification of
signals and systems
Analysis of
continuous time
signals
Linear time
invariant
continuous time
systems
Analysis of discrete
time signals
Linear time
invariant discrete
time systems
Learni
ng
Outco
me
Written Test
1
Unit
Learning Outcome ID
Sr.
No
Evaluation System
Assessment Requirements as per Course Matrix (Select
which is applicable)
Attendance
Mid Term Examination
Laboratory Experiments
Tutorials
Project
Seminar
Presentation
Research Assignments
Case Study Analysis
Group discussion
Role Play
prototype making
Field visit
Internship
End Term Examination (Theory)
End Term Examination (Practical)
Other-Real World Application Development
Total
Percentage weightage
Allotted marks
6.67
6.67
6.67
6.67
--------6.67
----------------------------46.66
20.00
-----
10
10
10
10
--------10
----------------------------70
30
-----
100%
150
CO-PO Matrix:
PO1
CO1
CO2
CO3
CO4
CO5
3
2
PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO
10
2
3
2
2
2
PO
11
PO
12