Course Catalog 2009-2010 Basic Basic Pori International Postgraduate Open University |Degrees|     |Study blocks|     |Courses|

Person responsible

Robert Piche

Implementations

	Lecture times and places	Target group recommended to
Implementation 1	Periods 4 4 - 5

Requirements

Exam.
Completion parts must belong to the same implementation

Principles and baselines related to teaching and learning

-

Learning outcomes

Introduction to Bayesian statistical data-analysis theory and applications.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	Probability theory basis of Bayesian methods.
2.	Data analysis: inference, parameter estimation, regression, model comparison
3.	Numerical methods, MCMC	The WinBUGS software package
4.	Decision theory.

Study material

Type	Name	Author	ISBN	URL	Edition, availability, ...	Examination material	Language
Other online content		Robert Piche			Video-lectures (flash), course notes, exercises (pdf)		English

Prerequisites

Correspondence of content

Additional information

Lectured at most every second year, not lectured in 2009-10. Lecture videos from 08-09 are available on the net for self-study.

More precise information per implementation

	Description	Methods of instruction	Implementation
Implementation 1	Lectured at most every second year, not lectured in 2009-10. Lecture videos from 08-09 are available on the net for self-study.

Last modified	13.03.2009
Modifier	Robert Piche