S-114.202 Laskennallisen tekniikan erikoiskurssi II
The topic of the course in spring 2004 is
Teacher: Dr.Tech. Aki Vehtari
Contents: Advanced topics in Bayesian probability theory and Bayesian inference.
Prerequisites: Recommended basics of Bayesian modeling (for example, S-114.600 Introduction to Bayesian Modeling or similar knowledge)
Language: The language of the seminar is English.
Place and time: The seminars take place Thursdays 9:30-11:30 B317
Course requirements: For 2 credits: Active participation in the seminars and seminar presentation
Optional: For additional 1-3 credits: Project work
|5.2.||Aatu Kaapro||Janne Ojanen||Prior elicitation|
|5.2.||Janne Ojanen||Aatu Kaapro||Bayesian networks|
|12.2.||Simo Särkkä||Jan-Hendrik Schleimer||Bayesian tracking and filtering|
|26.2.||Ville-Petteri Mäkinen||Jukka-Pekka Onnela||Linear regression with dichtomous outcomes|
|4.3.||Ramunas Girdziusas||Jan-Hendrik Schleimer||Bayesian SVM and evidence framework|
|1.4.||Jan-Hendrik Schleimer||Simo Särkkä||Particle filters|
|15.4.||Jukka-Pekka Onnela||Ville-Petteri Mäkinen||Regression with very large number of covariates (large p, small n)|
|22.4.||Aapo Nummenmaa||Hyperprior sensitivity in hierarchical models|
There is a list of potential topics to give you ideas.
To simulate scientific writing, for every talk there is first author and second author. Every student is first author for one talk and second author for another talk. First author first writes the paper, second author gives comments and helps to improve it and both authors discuss about the presentation with teachers. The first author prepares the talk and second author again gives comments and helps to improve the presentation. First author presents the talk. Names of both authors are shown in the paper and in the slides. Normal talk is 35-40 minutes and 5-10 minutes discussion.
Students can also make project work on their own topic. These project works can be made in pairs. The presentation will then also present the results from the project work.
2 weeks before presentation tell your primary references. 1 week before presentation, send draft paper to the teacher and your second author. 1 day before presentation send final paper and slides to the teacher.
When sending email concerning the course, please add "S-114.202" or "114202" to subject.
You may send your comments to the teacher
Helsinki University of Technology
Lab. of Computational Engineering
P.O.Box 9203, 02015 HUT
tel: 451 4849