Methods Related Lecture Courses
Apart from the Learning Machine Learning course and the course Statistical Methods for Cognitive Psycologists that take place here at the CBU there are other useful courses from the Engineering Department, Centre of Mathematical Sciences, Computer Laboratory and Physics Department.
Basic Methods Maths
For those who are interested on understanding some basic but advanced engineering mathematics we advise you to follow this course which runs during Michaelmas, Lent and Easter terms.
You can find the timetable for the mathematics course for the year 2008 here (Michaelmas, Easter and Lent).
Centre for Mathematical Studies
Applied Bayesian Statistics Lent 2009
Prof. D. Spiegelhalter M.W. 11, MR14 and CATAM room (eleven lectures and five classes)
Time Series+ Lent 2009
DR S. M. Pitts Tu. Th. S. 12 MR9 (first eight lectures)
Monte Carlo Inference+ Lent 2009
DR R.R. Gramacy Tu. Th. S. 12 MR9 Lent (last sixteen lectures)
Computational Neuroscience Lent 2009
DR S. Eglen Tu. Th. 12 MR 15
Artificial Intelligence I Easter 2009
DR. M. Jamnik M.W.F.11 (Lecture Theater 1, William Gates Building)
Artificial Intelligence II Easter 2009
DR. S. B. Holden M.W.F. 11 (Lecture Theater 2, William Gates Building)
Advanced Computer Graphics Easter 2009
DR P. A. Benton F. 9 and F.10 (from 13 Feb.) (Lecture Theater 2, William Gates Building)
For more information concerning other courses and their timetables please look here.
Principles of Computing Continuum Flows Michaelmas 2008
Prof P. L. Roe, 24 Lectures, M, W, F 3.30 Small Lecture Theatre, Cavendish Laboratory
High-Performance Scientific Computing Michaelmas 2008
Dr. Mike Kirby M. Tu. 2.00-3.30pm Small Lecture Theatre, Cavendish Laboratory
Information Theory, Pattern Recognition and Neural Networks Lent 2009
Prof. D. J. C. Mackay M. W. 2 (Beginning 26 January, Pippard Lecture Theatre, Cavendish Laboratory)