Course overview
To introduce the basic tools and concepts in information theory, and practical coding schemes for data compression and transmission over noisy channels.
- Coding Theory
- Information Theory - Concepts and Fundamental
- Information Theory - Applications
Course learning outcomes
- Examine mathematically the notion of information contained in data and the fundamental limits to compress data for efficient storage
- Analyse and compare the roles of redundancy in combating the effect of noise in various communications media
- Develop the connections between information-theoretic schemes and algebraic/convolutional/graph-based schemes for communicating data over discrete memoryless channels
- Examine and derive the operations involved in different encoders and decoders, and be able to compare the advantages and disadvantages of various coding paradigms
- Examine and evaluate advanced literature in the field of information theory and coding
- Use problem-solving and computing skills to analyse and derive efficient means of representation, storage and transmission of information in communications networks
Availability
Class details
Mawson Lakes
Class number 55433
Section PR01
Size 20
Available 20
Class number 55434
Section TU01
Size 20
Available 20
Class number 60245
Section LE01
Size 200
Available 200
Adelaide City Campus East
Class number 55436
Section PR01
Size 50
Available 50
Class number 55438
Section TU01
Size 25
Available 25
Class number 55437
Section TU02
Size 25
Available 25
Class number 60246
Section LE01
Size 200
Available 200
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