Module Catalogues, Xi'an Jiaotong-Liverpool University   
Module Code: EEE302
Module Title: Data Communications
Module Level: Level 3
Module Credits: 2.50
Academic Year: 2018/19
Semester: SEM2
Originating Department: Electrical and Electronic Engineering
Pre-requisites: N/A
To enable students to better understand, develop, design and improve analogue and digital communication systems, with an awareness of all the main factors involved, and evolution of technologies toward data communication network.
Learning outcomes 
A. Identify and explain the nature of data and how it is stored and communicated.

B. Interpret the limitations imposed on communication system performance and design by various factors.

C. Explain how noise arises in communications systems and its effects upon communications system behavior and performance.

D. Apply some of the methods to combat the adverse effects of noise in communications systems

E. Explain why standard protocol architecture is needed in data communication and interpret the basic components in a communication network.

F. Identify different topology and design basic routing algorithms applied in a data communication network.

Method of teaching and learning 
This module will be delivered by a combination of formal lectures, tutorials and assignments.


Data, information and knowledge; Communication systems; Communication Networks; Signal classification; Design considerations and limitations.

2.Time and Frequency

Time-frequency representation; Signal decomposition; Bandwidth; Fourier series; Fourier transform; Short-time Fourier transform; Wavelet transform.

3.Noise and Random Process

Probability; Random variables; Random processes; Gaussian distribution; Q function; Wide sense stationary (WSS); Power spectrum density; Noise; Additive white Gaussian stationary (AWGN).

4.Channel Capacity Revisited

Bandwidth efficiency; Multi-level signaling; Channel capacity; Hartley’s law; Mutual information; Shannon’s first, second and third theorem.

5.Q-function (Statistics and Detection Theory Point of View)

Normal distribution; Inflection point; Mean and standard deviation; Standard normal distribution; z-score and x-score; Receiver operating characteristic; Confusion matrix; Hit rate, miss rate, false alarm rate and correct rejection rate; Decision criterion; Tail property.

6.Transceiver Design in Noisy Channels

Digital representation of analogue signals; Sampling theorem; Quantisation; Basedband modulation; Analog baseband transmission (PAM, PPM, PWM, PCM); Digital baseband transmission (Line Code); Passband modulation; Analog passband transmission (AM, FM, PM); Digital passband transmission (ASK, FSK, PSK); Baseband signal in AWGN; Optimum receiver design in baseband; Minimum BER

7.Equaliser, Multiuser Communication and Evolution of Technology

Equaliser; Multi-user techniques (FDMA, TDMA, CDMA, OFDMA); Cellular networks; Wireless computer networks; Emerging technologies.

8.Communication Networks: Fundamentals

Internet; Protocol; Network edge(hosts, access net, physical media); Network core(packet/circuit switching); Internet structure; Protocol layers; Service models; Performance(loss, delay, throughput); Security.


Network layer; Virtual circuit and datagram networks; Router; Internet Protocol; Routing algorithms.

10. Wireless and Mobile Networks

Wireless links; IEEE 802.11 wireless LANs; Mobility users; Addressing and routing to mobile users; Mobile IP

Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester 20    6      49  75 


Sequence Method % of Final Mark
1 Final Exam 70.00
2 Midterm Exam 15.00
3 Assessments 15.00

Module Catalogue generated from SITS CUT-OFF: 6/5/2020 7:59:34 PM