Three Concepts: Probability, Course at the Department of Computer Science, University of Helsinki

Three Concepts: Probability

This course is part of the "Three concepts" series, and provides an introduction to issues in probability theory from a computer scientist's perspective. Many of the research issues in Artificial Intelligence, Computational Intelligence and Data Mining can be actually viewed as topics in the "science of uncertainty," which addresses the problem of optimal processing of incomplete information, i.e., plausible inference.

Course instructor: Professor Petri Myllymäki
Course assistant: Teemu Roos

The course involves project work and part of it uses the Bayesian modeling tool B-Course. These pages are frequently updated and in the current schedule the topics are only tentative.

IMPORTANT: This year the lectures will be given IN FINNISH, although all the material is in English. Non-Finnish speaking students: if you wish to try to pass the course without attending the lectures, please contact the course instructor.

Course description
Registration
Projects
Course material
Results (intranet)

Course Schedule

  • Thu 18.01.: Classes at 16-19 in Exactum C221.
    • Course introduction.
    • Lecture: Modeling and concepts of Bayesian inference.
  • Thu 25.01.: Classes at 16-19 in Exactum C221.
    • Lecture: Probability as a measure of belief.
  • Thu 01.02.: No session.
  • Thu 08.02.: Classes at 16-19 in Exactum C221.
    • Lecture: The simple(st) example: models for proportions.
  • Thu 15.02.: Classes at 16-18 in Exactum C221.
    • Lecture: What are Bayesian networks?
  • Thu 22.02.: Classes at 16-19 in Exactum B222.
    • Lecture: Learning Bayesian networks from data.
    • Introduction to Projects I, II and III.
  • Thu 01.03.: No session.
  • Thu 08.03.: No session.
  • Mon 12.03. (Midnight): Deadline for Project I.
  • Thu 15.03.: Classes at 16-17 in Exactum C221.
    • Projects II and III, questions and answers.
  • Thu 22.03.: Classes at 16-17 in Exactum C221.
    • Feedback on Project I.
    • Projects II and III, questions and answers.
  • Tue 27.03. (Midnight): Deadline for Round 1 / Project II
  • Thu 29.03.: Classes at 16-17 in Exactum C221.
    • Project II status reports (round 1).
  • Wed. 04.04. (Midnight): Deadline for Round 2 / Project II
  • Thu 05.04.: Classes at 16-17 in Exactum C221.
    • Project II status reports (round 2).
  • Wed. 11.04. (Midnight): Deadline for Round 3 / Project II
  • Thu 12.04.: Classes at 16-17 in Exactum C221.
    • Project II status reports (round 3).
  • Wed. 18.04. (Midnight): Deadline for Round 4 / Project II
  • Thu 19.04.: Classes at 16-17 in Exactum C221.
    • Project II status reports (round 4).
  • Thu 26.04.: Classes at 16-17 in Exactum C221.
    • Project II final reports (each team gives a 5-10 min. presentation).
  • Tue 08.05.: Classes at 15-18 in Exactum C221.
    • 15-16: Project III final reports (each team gives a 5-10 min. presentation).
    • 16-18: Poster session (project IV), participation compulsory.
  • Fri 18.05. (Midnight):
    • Deadline of Project V (term paper).
    • Deadline of poster reports.

 

 Three Concepts: Probability
Last updated May 5, 2007.