MAT-61706 Bayesian Filtering and Smoothing, 5 cr

Implementation MAT-61706 2019-01

Description

Students self-study the material in the textbook and in recorded lectures, and participate in weekly exercise sessions.

Lessons

Period 3 - 4
Methods of instruction Harjoitukset
Person responsible Robert Piche

Assessment scale

Numerical evaluation scale (0-5)

Requirements

Solving weekly homework problems, participation in the weekly exercise sessions, and successful completion of the take-home final exam.

MAT-61706 Bayesian Filtering and Smoothing/E/01 Thu 16.01.2020 12:00 - 14:00
MAT-61706 Bayesian Filtering and Smoothing/E/01 Thu 23.01.2020 12:00 - 14:00
MAT-61706 Bayesian Filtering and Smoothing/E/01 Thu 30.01.2020 12:00 - 14:00
MAT-61706 Bayesian Filtering and Smoothing/E/01 Thu 06.02.2020 12:00 - 14:00
MAT-61706 Bayesian Filtering and Smoothing/E/01 Thu 13.02.2020 12:00 - 14:00
MAT-61706 Bayesian Filtering and Smoothing/E/01 Thu 20.02.2020 12:00 - 14:00
MAT-61706 Bayesian Filtering and Smoothing/E/01 Thu 05.03.2020 12:00 - 14:00
MAT-61706 Bayesian Filtering and Smoothing/E/01 Thu 12.03.2020 12:00 - 14:00
MAT-61706 Bayesian Filtering and Smoothing/E/01 Thu 19.03.2020 12:00 - 14:00
MAT-61706 Bayesian Filtering and Smoothing/E/01 Thu 26.03.2020 12:00 - 14:00
MAT-61706 Bayesian Filtering and Smoothing/E/01 Thu 02.04.2020 12:00 - 14:00
MAT-61706 Bayesian Filtering and Smoothing/E/01 Thu 16.04.2020 12:00 - 14:00

Study material

Type Name Author ISBN Additional information Language Examination material
Book Bayesian Filtering and Smoothing Simo Särkkä 9781107619289 PDF is freely available. English Yes