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 | Mostafa Mansour, 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 |