Information Theory & Error Control Coding - ELE00005M
- Department: Electronic Engineering
- Credit value: 10 credits
- Credit level: M
- Academic year of delivery: 2022-23
Module summary
At the heart of communications is the concept of Information theory. This module gives you an understanding of information theory and the error-control and coding schemes used in modern, mainly wireless, communication systems. It will help you to quantify information and compute entropy, calculate compute mutual information and channel capacity, and understand the limits of source coding and reliable communication.
Related modules
Module will run
Occurrence | Teaching period |
---|---|
A | Autumn Term 2022-23 |
Module aims
Subject content aims:
-
To give an understanding of information theory and the error-control and coding schemes used in modern, mainly wireless, communication systems
Graduate skills aims:
-
To develop critical skills in the selection, adaptation and application of appropriate numeric and algebraic techniques
Module learning outcomes
Subject content learning outcomes
After successful completion of this module, students will:
- Be able to quantify information and compute entropy
- Understand and know how to calculate compute mutual information and channel capacity
- Understand the limits of source coding and reliable communication
- Be able to encode and decode linear block codes using generator matrices and polynomials
- Be able to encode and decode convolutional codes using linear algebra and the Viterbi algorithm
- Be able to calculate decoded BER for FEC codes
Graduate skills learning outcomes
After successful completion of this module, students will:
- Be able to express advanced technical concepts concisely and accurately and comment on their applications, limitations and implications
- Be able to select, adapt and apply a range of mathematical techniques to solve advanced problems and explain the implications of the answer
Indicative assessment
Task | % of module mark |
---|---|
Online Exam -less than 24hrs (Centrally scheduled) | 100 |
Special assessment rules
None
Indicative reassessment
Task | % of module mark |
---|---|
Online Exam -less than 24hrs (Centrally scheduled) | 100 |
Module feedback
'Feedback’ at a university level can be understood as any part of the learning process which is designed to guide your progress through your degree programme. We aim to help you reflect on your own learning and help you feel more clear about your progress through clarifying what is expected of you in both formative and summative assessments.
A comprehensive guide to feedback and to forms of feedback is available in the Guide to Assessment Standards, Marking and Feedback. This can be found at https://www.york.ac.uk/students/studying/assessment-and-examination/guide-to-assessment/
The Department of Electronic Engineering aims to provide some form of feedback on all formative and summative assessments that are carried out during the degree programme. In general, feedback on any written work/assignments undertaken will be sufficient so as to indicate the nature of the changes needed in order to improve the work. Students are provided with their examination results within 20 working days of the end of any given examination period. The Department will also endeavour to return all coursework feedback within 20 working days of the submission deadline. The Department would normally expect to adhere to the times given, however, it is possible that exceptional circumstances may delay feedback. The Department will endeavour to keep such delays to a minimum. Please note that any marks released are subject to ratification by the Board of Examiners and Senate. Meetings at the start/end of each term provide you with an opportunity to discuss and reflect with your supervisor on your overall performance to date.
Indicative reading
- T. M. Cover and J. A. Thomas, Elements of Information Theory, 2nd ed. Wiley-Interscience, 2006.
- J. C. Moreira and P. G. Farrell, Essentials of Error Control Coding, Wiley, 2006.
- A. G. Burr, Modulation and Coding for Wireless Communications, Prentice-Hall, 2000.
- S. Lin & D. J. Costello, Error Control Coding, 2nd Edition, Prentice-Hall, 2004.
- T. D. Moon, Error Correction Coding: Mathematical Methods and Algorithms, Wiley, 2005.