Part II CST 75%
In addition to courses examined in Tripos papers 8 and 9, students also select two further units of assessment, which are examined separately.
Please check the lecture timetables for timetable details.
Michaelmas term
- Bioinformatics – Prof Pietro Lio' – 12 h
- Business Studies – Jack Lang, Stewart McTavish – 8 h
- Denotational Semantics – Prof Marcelo Fiore – 10 h
- LaTeX and MATLAB – Dr Markus Kuhn – 2 h
- Principles of Communications – Prof Jon Crowcroft – 16 h
- Types – Dr Neel Krishnaswami – 12 h
Units of assessment:
- Advanced Data Science – Prof Neil Lawrence, Dr Carl Henrik Ek – 16 h
- Advanced Graphics and Image Processing – Dr Rafal Mantiuk – 12 h
- Category Theory – Prof Andrew Pitts – 16 h
- Digital Signal Processing – Dr Ali Ozgur Yontem – 16 h
- Digital Signal Processing with Computer Music – Prof Alan Blackwell, Dr Ali Ozgur Yontem, Dr Mark Gotham – 16 h
- Introduction to Robotics – Dr Amanda Prorok, Dr Robert Harle, Dr Fumiya Iida, Dr Fulvio Forni – 16 h
- Machine Visual Perception – Dr Cengiz Oztireli, Dr Christopher Town – 12 h
- Multicore Semantics and Programming – Prof Peter Sewell, Dr Timothy Harris – 16 h
- Natural Language Processing – Prof Simone Teufel, Dr Andrew Caines, Dr Guy Emerson – 15 h
Lent term
- Advanced Computer Architecture – Dr Robert Mullins – 16 h
- Cryptography – Dr Martin Kleppmann – 16 h
- E-Commerce – Jack Lang, Stewart McTavish – 8 h
- Information Theory – Dr Robert Harle – 12 h
- Machine Learning and Bayesian Inference – Dr Sean Holden – 16 h
- Optimising Compilers – Prof Timothy Jones – 16 h
- Quantum Computing – Dr Steven Herbert – 16 h
- Randomised Algorithms – Dr Thomas Sauerwald – 16 h
Units of assessment:
- Advanced Operating Systems – Prof Robert Watson – 16 h
- Cloud Computing – Dr Evangelia Kalyvianaki, Dr Anil Madhavapeddy – 13 h
- Computer Systems Modelling
– Prof Srinivasan Keshav
– 16 h
The aims of this course are to introduce the concepts and principles of mathematical modelling and simulation, with particular emphasis on using queuing theory and control theory for understanding the behaviour of computer and communications systems.
- Cybercrime – Dr Alice Hutchings, Prof Ross Anderson, Dr Richard Clayton – 16 h
- Deep Neural Networks
– Prof Neil Lawrence, Dr Ferenc Huszar, Dr Nic Lane
– 14 h
The module “Deep Learning and Neural Networks” is focussed on teaching the fundamental ideas behind deep neural network solutions that are being widely deployed in domains such as computer vision, speech recognition and language technology.
- Interaction with Machine Learning
– Prof Alan Blackwell, Dr Advait Sarkar
– 16 h
This is an advanced course in human-computer interaction, with a specialist focus on intelligent user interfaces and interaction with machine-learning and artificial intelligence technologies.