Methods Related Lecture Courses
Apart from the [:MachineLearning:Learning Machine Learning] course and the course [http://www.mrc-cbu.cam.ac.uk/research/seminars/statisticsseminars.html 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.
Engineering Department
Michaelmas
[http://www.eng.cam.ac.uk/teaching/courses/y3/3f1.html Module 3F1 – Signals and Systems]
[http://www.eng.cam.ac.uk/teaching/courses/y3/3g4.html Module 3G4 - Medical Imaging and 3-D Computer Graphics]
[http://www.eng.cam.ac.uk/teaching/courses/y4/4m13.html Module 4M13 - Complex Analysis and Optimization]
[http://www.eng.cam.ac.uk/teaching/courses/y4/4f6.html Module 4F6 - Signal Detection and Estimation]
[http://www.eng.cam.ac.uk/teaching/courses/y4/4f10.html Module 4F10 - Statistical Pattern Processing]
[http://www.eng.cam.ac.uk/teaching/courses/y4/4f7.html Module 4F7 - Digital Filters and Spectrum Estimation]
[http://www.eng.cam.ac.uk/teaching/courses/y4/4g3.html Module 4G3 - Computational Neuroscience]
The timetables for Michaelmas 2008 are available [http://www.eng.cam.ac.uk/teaching/rotas/Mich-IIA-Lec.pdf here] for 3rd year and [http://www.eng.cam.ac.uk/teaching/rotas/Mich-IIB-Lec.pdf here] for 4th year.
Lent
[http://www.eng.cam.ac.uk/teaching/courses/y3/3d7.html Module 3D7 - Finite Element Methods]
[http://www.eng.cam.ac.uk/teaching/courses/y3/3f2.html Module 3F2 – Systems & Control]
[http://www.eng.cam.ac.uk/teaching/courses/y3/3f3.html Module 3F3 – Signal & Pattern Processing]
[http://www.eng.cam.ac.uk/teaching/courses/y3/3g3.html Module 3G3 - Introduction to Neuroscience]
[http://www.eng.cam.ac.uk/teaching/courses/y3/3f6.html Module 3F6 – Software Engineering and Design]
[http://www.eng.cam.ac.uk/teaching/courses/y4/5r1.html Module 5R1 - Stochastic Processes and Optimization Methods]
[http://www.eng.cam.ac.uk/teaching/courses/y4/4f13.html Module 4F13 - Machine Learning]
Basic Methods Maths
For those who are interested on understanding some basic but advanced engineering mathematics we advise you to follow this [http://www.eng.cam.ac.uk/teaching/courses/y1/P4-MM.html course] which runs during Michaelmas, Lent and Easter terms.
You can find the timetable for the mathematics course for the year 2008 here ([http://www.eng.cam.ac.uk/teaching/rotas/Mich-IA-Lec.pdf Michaelmas], Easter and Lent).
Centre for Mathematical Studies
The [http://www.statslab.cam.ac.uk/Postgrad/MPhil/newmphilsched2009.html MPhil in the Statistical Science] and MPhil in [http://www.ccbi.cam.ac.uk/Education/MPhil/ Computational Biology] have many interesting courses.
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
Computer Lab
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 [http://www.cl.cam.ac.uk/teaching/lectlist/ here].
Physics Department
Principles of Computing Continuum Flows Michaelmas 2008
Prof P. L. Roe, 24 Lectures, M, W, F 3.30 Small Lecture Theatre, Cavendish Laboratory
[http://www.csc.cam.ac.uk/academic/roe.html]
High-Performance Scientific Computing Michaelmas 2008
Dr. Mike Kirby M. Tu. 2.00-3.30pm Small Lecture Theatre, Cavendish Laboratory
[http://www.csc.cam.ac.uk/academic/HPSciComp-details.html]
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)