Students intending to qualify in this Engineering Area in Part IIB must include at least four of the modules listed.
| Number | Title | Notes |
|---|---|---|
| 4B23 | Optical Fibre Communication | |
| 4B25 | Embedded Systems for the Internet of Things | |
| 4C11 | Data-driven and Learning Based Methods in Mechanics and Materials | |
| 4F1 | Control System Design | |
| 4F2 | Robust and Non-linear Control | |
| 4F3 | An Optimisation Based Approach to Control | |
| 4F5 | Advanced Information Theory and Coding | |
| 4F8 | Image Processing and Image Coding | |
| 4F10 | Deep Learning and Structured data | |
| 4F12 | Computer Vision | |
| 4F13 | Probabilistic Machine Learning | |
| 4F14 | Computer Systems | |
| 4G10 | Brain Machine Interfaces | |
| 4M17 | Practical Optimization | |
| 4M21 | Software Engineering and Design | |
| 4M24 | Computational Statistics and Machine Learning | |
| 4M26 | Algorithms and Data Structures |
Advice
Information and Computer Engineering covers the digital representation and processing of signals and systems. It extends from the theory of signals and systems, through to the manipulation of data via computer programs. In addition to all of the information modules, this professional area includes modules from the Computer Science Tripos.
Candidates with a strong interest in control should also consider 'Instrumentation and Control' as an alternative.
Specialist advice on this Engineering Area can be obtained from the Coordinator whose details can be found on the IIA Information and Computer Engineering Area website
Last updated on 24/05/2023 15:08