Topic outline

  • General

    Probability Theory and Network Inference

    Basel, 8-11 November 2011

    Recent developments on the foundations of probability have lead to a theory that unites methods from statistics, statistical inference, information theory and Bayesian statistics into an integrated framework.
    The purpose of this course is to familiarize bioinformatics students with this general theory in the context of concrete applications in Bioinformatics. The course will cover all the basic theoretical methods and illustrate each of them with examples from the day-to-day praxis in Bioinformatics.

    Lecturer:

    Erik van Nimwegen

    The classes will take place at the
    Biozentrum, Basel, according to the following schedule:

    8.Nov.
    Di 9-13h Phz 5026 seminar room for lecture
    Di 13-18h Bioz 105 computer room for exercises

    9. Nov.
    Mi 9-13h Phz 5026
    seminar room for lecture
    Mi 13-18h Bioz 105 computer room
    for exercises

    10. Nov.
    Do 9-13h PhZ 1067
    seminar room for lecture
    Do 13-18h Bioz 105 computer room
    for exercises

    11. Nov.
    Fr 9-13h PhZ 1067
    seminar room for lecture
    Fr 13-18h Bioz 105 computer room
    for exercises

    Requirements:

    Unix commands, experience with programming in basic scripting languages; solid knowledge in applied mathematics, i.e. calculus and linear algebra.

    Registration

    Registration is closed.