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 and Computer Laboratory.

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 Lent 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]

Basic Methods Maths

For those who are interested on understanding some basic but advanced engineering mathematics we advise to follow this [http://www.eng.cam.ac.uk/teaching/courses/y1/P4-MM.html course] which runs during Michaelmas, Lent and Easter term

You can find the timetable for the mathematics course for the year 2008 here ([[http://www.eng.cam.ac.uk/teaching/rotas/Michaelmas-IA-Lec.pdf Michaelmas],[http://www.eng.cam.ac.uk/teaching/rotas/Easter-IA-Lec.pdf Easter],[http://www.eng.cam.ac.uk/teaching/rotas/Lent-IA-Lec.pdf 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

Prof. D. Spiegelhalter M.W. 11, MR14 and CATAM room (eleven lectures and five classes)

Time Series+ Lent

DR S. M. Pitts Tu. Th. S. 12 MR9 (first eight lectures)

Monte Carlo Inference+ Lent

DR R.R. Gramacy Tu. Th. S. 12 MR9 Lent (last sixteen lectures)

Computational Neuroscience Lent

DR S. Eglen Tu. Th. 12 MR 15

Computer Lab

Artificial Intelligence I

DR. M. Jamnik M.W.F.11 (Lecture Theater 2, William Gates Building)

Artificial Intelligence II

DR. S. B. Holden M.W.F. 11 (Lecture Theater 2, William Gates Building)

Physics Department