Communications Information Theory

TNE30004 12.5 Credit Points Hawthorn, Sarawak

Duration

  • One Semester or equivalent

Contact hours

  • 60

On-campus unit delivery combines face-to-face and digital learning.

Aims and objectives

This unit of study aims to examine issues relating to the measure of information, relationship between information, channel capacity and applied coding techniques for improvement of information efficiency.
 

Unit Learning Outcomes (ULO)

Students who successfully complete this unit will be able to:

1. Appreciate the concepts of entropy, mutual information, channel capacity (K2, K3, S1, S2)

2. Execute source encoding/decoding algorithms (Huffman codes, Arithmetic codes, Lempel-Ziv coding). (K3, S1, S2, S3)

3. Design and analyse Linear block codes and Cyclic codes. (K3, S1, S2, S3)

4. Describe and use convolutional codes (K2, K3, S1, S2).

5. Use the Viterbi Algorithm to decode convolutional Codes K2, K3, S1, S2).

6. Conduct experiments using simulation tools to analyse the performance coding and compression schemes and interpret results, formulate conclusions and generate high quality written reports. (K2, K3, S1, A2).

 
Swinburne Engineering Competencies for this Unit of Study
This Unit of Study will contribute to you attaining the following Swinburne Engineering Competencies:

K2: Maths and IT as Tools: Proficiently uses relevant mathematics and computer and information science concepts as tools.
K3: Discipline Specific: Proficiently applies advanced technical knowledge of the specific discipline within that context.
S1: Engineering Methods: Applies engineering methods in practical applications.
S2: Problem Solving: Systematically uses engineering methods in solving complex problems.
S3: Design: Systematically uses engineering methods in design.
A2: Communication: Demonstrates effective communication to professional and wider audiences.