Module Catalogues, Xi'an Jiaotong-Liverpool University   
Module Code: EEE203
Module Title: Continuous and Discrete Time Signals and Systems I
Module Level: Level 2
Module Credits: 2.50
Academic Year: 2019/20
Semester: SEM1
Originating Department: Electrical and Electronic Engineering
Pre-requisites: N/A
To present the concepts involved with signals and systems. Namely:

Signal Classification, Representation and Analysis

Fourier Series

Fourier Transform

Laplace Transform

Linear Time-invariant (LTI) Systems and Filters

Noise Remove in Digital (data) and Analogue Systems
Learning outcomes 
A. Demonstrate a clear understanding of the use of Fourier Series to represent periodic continuous time signals.

B. Demonstrate a clear understanding of the use of the Fourier Transform to represent finite energy signals.

C. Demonstrate a clear understanding of Laplace Transform, its properties and its use in circuit and system analysis.

D. Demonstrate a clear understanding of Linear Time Invariant Systems, and filters.

E. Demonstrate the ability to analyse various signals in both the time and frequency domains.
Method of teaching and learning 
This module will be delivered by a combination of formal lectures, problem classes, class demonstrations, and case studies.
Chapter 1 Introduction to signals

Concept of signals and systems. Classification of signals, including continuous and discrete signals, periodic and non-periodic signals, deterministic and random signals, symmetric and asymmetric signals, energy and power signals. Operations on signals. Elementary signals.

Chapter 2 Introduction to systems

System classification, including linear and non-linear systems, time variant/invariant systems, systems with and without memory, causal and non-causal systems. System representations.

Chapter 3 Convolution

DT convolution, CT convolution, convolution properties.

Chapter 4 Fourier Series

Time and frequency domain description of signals. Trigonometric and complex exponential Fourier series. Symmetry and time shifting properties. Amplitude and power spectra.

Chapter 5 Fourier Transform

Fourier transform and inverse transform. Fourier transform properties. Spectral density. Convolution theory.

Chapter 6 Laplace Transform

Laplace transform and inverse Laplace transform. Properties including linearity, time-differentiation and integration. Laplace transform properties. Laplace transform applications: solving differential equations, system analysis using Laplace transform.
Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester 15    7  4    49  75 


Sequence Method % of Final Mark
1 Formal Exam 70.00
2 Lab Report 10.00
3 Assignment 20.00

Module Catalogue generated from SITS CUT-OFF: 6/1/2020 11:09:14 PM