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2019/20 Undergraduate Module Catalogue

ELEC2430 Communications Theory

20 creditsClass Size: 100

Module manager: Dr L X Zhang
Email: L.X.Zhang@leeds.ac.uk

Taught: Semesters 1 & 2 (Sep to Jun) View Timetable

Year running 2019/20

This module is not approved as a discovery module

Objectives

This module builds on the first-year syllabus of ELEC1405 and ELEC1420 to give more quantitative/analytical tools for the design of modern communications systems, including Fourier analysis and signal processing, as well as the statistical treatment of signals.

Learning outcomes
On completion of this module, students should be able to:

- understand the principles of the operation and application of a representative range of communications and broadcasting systems, including the underlying aspects of probability and statistics;
- demonstrate an ability to apply mathematical analysis to analogue and digital, and time and frequency domain signals and systems. This includes Fourier analysis, linear system descriptions in time and frequency, the convolution, sampling of lowpass and bandpass signals, baseband modulation schemes, noise analysis, data source coding and block error control coding;
- demonstrate a knowledge and understanding of the mathematical principles behind signal analysis and be able to apply mathematical methods and tools to the analysis and solution of communications problems;
- apply quantitative methods and relevant computer software tools (e.g. MATLAB) to problems in communication systems.


Syllabus

Signals and Systems:

- Time domain representation of signals by functions; arithmetic with functions
- Analogue, digital, and discrete-time signals (functions)
- Periodic versus non-periodic signals (e.g., trigonometric signals, complex exponential functions)
- Frequency representation of analogue signals
- Fourier series for periodic signals
- Fourier transform for non-periodic signals
- Properties of Fourier transforms
- Revisiting bandwidth and spectrum
- Systems; Linear Systems; Time-invariant systems; LTI systems, e.g., filters; Transfer functions and impulse response functions; convolution

Communication Systems Theory:

- General structure of communication systems

Introduction to Digital Signal Processing
Sampling Theorem (detailed proof):

- Noise types and noise figure analysis;
- Data source compression (e.g., Huffman codes)
- Principles of error control block codes (e.g., Hamming codes)
- Baseband modulation techniques, e.g., pulse position/width/amplitude modulation schemes; amplitude carrier modulation schemes.

Teaching methods

Delivery typeNumberLength hoursStudent hours
Example Class81.008.00
Laboratory13.003.00
Lecture401.0040.00
Private study hours149.00
Total Contact hours51.00
Total hours (100hr per 10 credits)200.00

Private study

40 hours reading before and after lectures (1 hour per lecture);
60 hours preparing and practising numerical examples for tutorials;
20 hours revision for January tests
26 hours revision for the final tests

Opportunities for Formative Feedback

Student progress will be monitored at tutorials. The mid-sessional test will give quantitative feedback on student progress.

Methods of assessment


Coursework
Assessment typeNotes% of formal assessment
In-course AssessmentSemester 1 (End) Test20.00
AssignmentComputer-based assignment20.00
Total percentage (Assessment Coursework)40.00

.


Exams
Exam typeExam duration% of formal assessment
Standard exam (closed essays, MCQs etc)2 hr 60.00
Total percentage (Assessment Exams)60.00

Re-sits for ELEC modules are subject to the rules in the School’s Code of Practice on Assessment. Students should be aware that, for some modules, a re-sit may only be conducted on an internal basis (with tuition) in the next academic session.

Reading list

There is no reading list for this module

Last updated: 30/04/2019

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