|
Size: 3549
Comment:
|
Size: 3572
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| Line 51: | Line 51: |
| Applied Bayesian Statistics Prof. D. Spiegelhalter |
Applied Bayesian Statistics Prof. D. Spiegelhalter |
| Line 56: | Line 55: |
| Line 57: | Line 57: |
| Line 58: | Line 59: |
| Line 59: | Line 61: |
| Line 60: | Line 63: |
| Line 61: | Line 65: |
| Line 62: | Line 67: |
| Line 63: | Line 69: |
| Line 66: | Line 73: |
| Line 68: | Line 76: |
| Line 69: | Line 78: |
| Line 70: | Line 80: |
| Line 74: | Line 85: |
| Line 75: | Line 87: |
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] 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 course which runs during Michaelmas, Lent and Easter term
[http://www.eng.cam.ac.uk/teaching/courses/y1/P4-MM.html Mathematics Engineering Department]
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
[http://www.statslab.cam.ac.uk/Postgrad/MPhil/mphilinfo08.html Statistical Laboratory CMS M.Phil in Statistical Science]
Lent Term
Applied Bayesian Statistics Prof. D. Spiegelhalter M.W. 11, MR14 and CATAM room (eleven lectures and five classes)
• Bayes theorem; principles of Bayesian reasoning
• Exact conjugate analysis
• Assessment of prior distributions
• Monte Carlo analysis
• Markov chain Monte Carlo methods
• Regression analysis (linear, glm, nonlinear)
• Model criticism and comparison
• Hierarchical models (glmms)
The practical classes will use WinBUGS.
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)
M. Phil in Computational Biology at CMS
Computational Neuroscience Lent
DR S. Eglen Tu. Th. 12 MR 15