EE310 Signals and Systems

Spring 2026

Department of Electrical Engineering
Syed Babar Ali School of Science and Engineering
Lahore University of Management Sciences.

Announcements

• (Jan. 23) Course outline has been uploaded.
  
  

Administrative Details

• Course Outline (Click to download)
  
  

• Textbook: Linear Systems and Signals, 3rd edition. B.P. Lathi, California State University; Roger A. Green, North Dakota State University Oxford University Press, 2018
  
  

• Office Hours and Contact Information
  

  • Zubair Khalid (zubair.khalid@lums.edu.pk): Tuesday, 1 pm - 2pm and Wednesday, 4 pm - 5 pm (9-251)
    
    

  • Malik Hanzla Sajjad (27100378@lums.edu.pk): Thursday, 12 pm - 1 pm

  • Haroon Asim Chishty (27100277@lums.edu.pk): Monday, 4 pm - 5 pm

  • Abdul Moiz (27100037@lums.edu.pk): Tuesday, 3 pm - 4 pm

  • Noor Ijaz (27100356@lums.edu.pk): Monday 4 pm - 5 pm
    
    

Grading Distribution

• Attendance, 5 %

• Quizzes, 15 %

• Project and Assignments, 20 %

• Mid-Exam, 30 %

• Final Exam, 30 %
  

Project Description

• Project Description (Click here to download)
  
  

Exams

• Final Exam 2026
  

• Final Exam 2026 Solutions
  
  

• Mid Exam 2026
  

• Mid Exam 2026 Solutions
  
  
  

Problem Sets

Quizzes

Lecture Plan

• Lecture 01

  • Course Introduction

  • Signals and Systems overview, CT and DT Signals

  • Special Signals: Unit Step, Dirac delta, Sinusoidal
    

• Lecture 02

  • Signals under transformation of indepenent variables

  • Classification of signals (Periodic, Aperiodic)

  • Signal enegry and power
    

• Lecture 03

  • Signals under transformation – Examples (DT)

  • Classification of signals (Odd, Even)

  • Complex numbers overview

  • Complex exponentials
    

• Lecture 04

  • Systems

  • Classification of systems: Linearity and Time invariance)

  • Quiz 01
    

• Lecture 05

  • Classification of systems: Causality, Memory, Stability
    

• Lecture 06

  • LTI CT systems

  • Analysis of LTI systems

  • Impulse response

  • CT Convolution and proprties of convolution
    

• Lecture 07

  • DT Convolution

  • Quiz 02
    

• Lecture 08

  • DT Convolution matrix formulation

  • LTI system properties in terms of impulse response

  • Step Response

  • Convolution Examples and Review Problems
    

• Lecture 09

  • Complex exponentials: eigenfunctions of LTI Systems
    

• Lecture 10

  • Introduction to CT Fourier Series

  • Analysis Equation

  • Quiz 03
    

• Lecture 11

  • CT Fourier Series - Examples
    

• Lecture 12

  • Properties of Fourier Series
    

• Lecture 13

  • Convergence of Fourier series

  • DT Fourier Series and Properties
    

• Lecture 14

  • Fourier Series Examples
    

• Lecture 15

  • CT Fourier Transform (CTFT)

  • Derivation and Examples
    

• Lecture 16

  • Mid-exam review
    

• Lecture 17

  • Properties CTFT: linearity, time and frequency shift, scaling, derivative, convolution

  • CTFT for perioidc signals
    

• Lecture 18

  • Implications of convolution property: System characterization
    

• Lecture 19

  • Applications of CTFT, CTFT and LTI Systems, LCC differential equations, duality
    

• Lecture 20

  • Discrete-time Fourier Transform (DTFT)

  • DTFT Examples
    

• Lecture 21

  • DTFT Properties and Examples

  • DTFT and LTI Systems, LCC Difference Equation
    

• Lecture 22

  • Ideal Sampling

  • Nqyuist Rate, Signal Reconstruction
    

• Lecture 23

  • Zero-order hold

  • Processing CT signals using DT systems
    

• Lecture 24

  • z-Transform

  • z-Transform properties
    

• Lecture 25

  • z-Transform convergence
    

• Lecture 26

  • Discerte Fourier Transform (DFT)
    

• Lecture 27

  • Review
    

• Lecture 28

  • Review