Topic outline

  • Lecturer: Ilkka Leppänen

    Teaching Assistant: Teemu Seeve

    Please see the syllabus for an overview of the course.

    The course will be delivered online. The teaching sessions consist of traditional lecturing as well as working towards the assignment submissions. Scroll down this page to see the Zoom link to the lectures!



    Week Contents
    2 (10.1., 12.1.) Introduction, probabilities
    3 (17.1., 19.1.) Simulation, decision making under uncertainty
    4 (24.1., 26.1.) Probability estimation, biases, expected utility theory
    5 (31.1., 2.2.) Risk attitudes, multiattribute utility theory
    6 (7.2., 9.2.) Multiattribute value theory, analytic hierarchy process, optimisation
    7 (14.2., 16.2.) Conclusions and TBA