Information-Theoretic Modeling
5
Algorithms and machine learning
Advanced studies
The course introduces information-theoretic methods and their applications in modeling. The topics include Shannon"s noiseless source coding theorem, data compression, and Rissanen"s Minimum Description Length (MDL) principle.
Exam
22.10.2014
09.00
CK112
| Year | Semester | Date | Period | Language | In charge |
|---|---|---|---|---|---|
| 2014 | autumn | 03.09-21.11. | 1-1 | English | Teemu Roos |
Lectures
| Time | Room | Lecturer | Date |
|---|---|---|---|
| Wed 10-12 | C222 | Teemu Roos | 03.09.2014-17.10.2014 |
| Fri 10-12 | C222 | Teemu Roos | 03.09.2014-17.10.2014 |
Exercise groups
| Time | Room | Instructor | Date | Observe |
|---|---|---|---|---|
| Thu 16-18 | C222 | Jussi Määttä | 08.09.2014—17.10.2014 |
General
NOTE: Please see the course web page for more information (incl. the lecture slides, homework problems etc.)
In addition, you can take a look at the previous years' courses:
This year's course will mostly follow the same structure and cover the same material but we'll have 1 cu worth more MDL.