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: 2017/18
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

Z Transform

Linear Time-invariant (LTI) Systems and Filters

Noise Remove in Digital (data) and Analogue Systems

Discrete Time Linear Time-invariant (DT-LTI) 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 Z Transform, its properties and its use in circuit and system analysis.

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

E. Design and analyse signal systems

F. 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 (Recommended lecturing hours: 2 hours)

Concept of signals and systems, classification of signals and systems, signal and system analysis. Signals classification as periodic/aperiodic, causal/non-causal, deterministic/random, finite energy/finite power, analogue and digital signals.

Chapter 2 Fourier series and Transform analysis(Recommended lecturing hours: 6 hours)

Fourier Series: Time and frequency domain description of signals. Trigonometric and complex exponential Fourier series. Symmetry and time -shifting properites. Amplitude and power spectra.""Fourier Transform: Fourier transform and inverse transform. Spectral density. Convolution theory. Fast Fourier transform. Examples.""Laplace Transform: Laplace transform and inverse Laplace transform. Properties including linearity, time -diffentiation and integration. Generalisation of the Fourier transform.

Chapter 3 Linear Time-invariant (LTI) Systems (Recommended lecturing hours: 9 hours)

Definition of an LTI system Time-domain analysis of LTI responses Revision of Laplace Transform, Generalisation of the Fourier transform Convolution integral, impulse response, step response, frequency response ""Transfer function, use of Fourier transform and Laplace transform, stability, poles and zeros Bode plots Filter analysis and design in LTI system theory Noise filtering Case study I LTI systems and simulation (Recommended lecturing hours: 3 hours)

Chapter 4 Digital (data) and Analogue Systems (Recommended lecturing hours: 6 hours)

Sampling theorem. Analogue and digital converter Z-Transform Z-Transfer function and block diagrams Discrete -time signal analysis

Chapter 5 Discrete Time Linear Time Invariant (DT-LTI) Systems (Recommended lecturing hours: 6 hours)

Definition of discrete time LTI systems Convolution sumImpulse Response. Step Response Frequency Response. Use of z-transform/DTFT. StabilityPoles and
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: 1/24/2018 2:01:23 PM