Information-Theoretic Modeling

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.


22.10.2014 09.00 CK112
Year Semester Date Period Language In charge
2014 autumn 03.09-21.11. 1-1 English Teemu Roos


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

Group: 1
Time Room Instructor Date Observe
Thu 16-18 C222 Jussi Määttä 08.09.2014—17.10.2014


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:

  • 2012 (lectured by Jyrki Kivinen)
  • 2009 (lectured by Teemu Roos)

This year's course will mostly follow the same structure and cover the same material but we'll have 1 cu worth more MDL.