Module IBC-3012:
Information & Coding
Information and Coding for Communications 2024-25
IBC-3012
2024-25
School of Computer Science & Engineering
Module - Semester 2
10 credits
Module Organiser:
Iestyn Pierce
Overview
• Randomness as uncertainty and the entropic measure of information. Noiseless coding for memoryless sources and optimal compression. • Noisy channels and their capacity. Error-correcting codes, binary Hamming codes, cyclic codes. • One-time pads, computational complexity, one-way functions, public key cryptography and the RSA system. Basic concepts of Quantum Information including entanglement and quantum logic gates
Assessment Strategy
-threshold -Equivalent to 40%. Uses key areas of theory or knowledge to meet the Learning Outcomes of the module. Is able to formulate an appropriate solution to accurately solve tasks and questions. Can identify individual aspects, but lacks an awareness of links between them and the wider contexts. Outputs can be understood, but lack structure and/or coherence.
-good -Equivalent to the range 60%-69%. Is able to analyse a task or problem to decide which aspects of theory and knowledge to apply. Solutions are of a workable quality, demonstrating understanding of underlying principles. Major themes can be linked appropriately but may not be able to extend this to individual aspects. Outputs are readily understood, with an appropriate structure but may lack sophistication.
-excellent -Equivalent to the range 70%+. Assemble critically evaluated, relevant areas of knowledge and theory to construct professional-level solutions to tasks and questions presented. Is able to cross-link themes and aspects to draw considered conclusions. Presents outputs in a cohesive, accurate, and efficient manner.
Learning Outcomes
- Be able to implement basic error correction schemes.
- Understand basic information theory.
- Understanding, development and use of public key cryptosystems.
Assessment method
Coursework
Assessment type
Summative
Description
Assignment 2
Weighting
10%
Assessment method
Coursework
Assessment type
Summative
Description
Assignment 1
Weighting
10%
Assessment method
Exam (Centrally Scheduled)
Assessment type
Summative
Description
Final exam
Weighting
80%