King's College London M.Sc. in Information Processing and Neural Networks

Programme Structure

The M.Sc. programme is based on course work and a project and requires either one year of full-time study, or may be taken part-time over two years.

All candidates follow two compulsory lecture courses as well as a selection of six further lecture courses , chosen in consultation with their tutor, and taken from a list of options. For a detailed description of the present programme of compulsory and optional lecture courses see list of lecture courses (this list is subject to minor annual changes, dependent on the availablity of lecturers in any given session).

Each candidate must complete a research project in some area of Information Processing and Neural Networks at the postgraduate level, after passing the written examinations (in the months June-Sept, with preparatory work leading to the submission of a project outline taking place in the second semester). This project can also be carried out and supervised in academic or industrial institutions outside KCL. For an indication of the range of possible projects see e.g. the overview of past IPNN projects

The third component is participation of the students in the neural networks seminar series. This allows the students to find out what the state of the art in the field is, and where the present foci of academic and industrial research are.

Semester 1 (late Sep to Dec):	Neural Networks (compulsory) + three selected lecture courses from (the list of options may vary from year to year) Applied Probability and Stochastics Distribution Theory Linear Systems with Control Theory Fundamentals of Digital Signal Processing Algorithms and Computation Artificial Intelligence
Semester 2 (Jan to Mar):	Advanced Neural Networks (compulsory) + three selected lecture courses from (the list of options may vary from year to year) Information Theory in Neural Networks Statistical Mechanics of Neural Networks Financial Mathematics Communications Theory Cryptography and Information Security
Examinations (May-early June):	Written examinations in most subjects (a small number are examined in January)
Research Project (mid-June to mid-Sep):	Three month research project, concluded with project report to be submitted in mid-September; oral presentation on project shortly after submission

Last updated Aug 20th 2008 Contact: Ton Coolen

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