3 Concepts: Information

Posters

A part of the course (30 % of the grade) is to prepare a poster presentation for the joint poster session. The posters will be prepared individually or in pairs .

A poster session is an occasion where you present your topic to the public with the help of posters on a bulletin board. Your role is to stand nearby your poster, explain details and answer questions to the public. Because everyone is doing this at the same time, you do not need to give a lecture, and the public can wander around the poster session room and concentrate on posters whose topics interest them. The session is meant to be relaxed and rather informal.

Guidelines for poster presentation

Some guidelines for designing the poster can be found from the following addresses:

The poster area is 95 cm x 115 cm. Copies of the poster material should be delivered to the instructors after the poster session. The poster session will be held at the Course Seminar at the end of the course. Participation to this seminar is necessary in order to pass the course.

Poster topics

You may choose freely a poster topic for yourself from the following list. The topics that have been already assigned have the name(s) of the presentator(s) after the topic. In case there is only one name, please contact either Tomi or Petri or the person in question directly in order to find out whether it is possible to prepare the poster in pairs.

The topics are not ordered by their difficultness, for example - they are in random order. If needed, more topics will be added after the course has started.

Note: You may also do the poster from a topic of your own. Ask Petri whether your topic needs improving or whether it's ok.

  1. Kolmogorov Complexity
  2. Algorithmic Statistics
  3. Quantum Algorithmic Information Theory
  4. Randomness and Mathematical Proof
  5. Predictive Minimum Description Length Principle
  6. Minimum Message Length Principle
  7. Adaptive Dictionary Encoders: Ziv-Lempel Coding
  8. Dynamic Huffman Codes
  9. "Bits-back" Encoding
  10. Constrained Maximum Entropy Tomography
  11. Gene Expression Data Classification via MDL
  12. Information Bottleneck
  13. Turbo codes
  14. Sequential Decision Theory and Algorithmic Information theory
  15. Predictive methods for textual input
  16. Normalized Compression Distance / Normalized Google Distance

 

 3 Concepts: Information
2005