Interesting links and Course evaluations


Applications of Bayesian networks exist for several different problem domains. The following list of references point to a collection of well-known networks in different formats (some are toy-examples!), and some papers about different networks constructed in our Department. The Bayesia conference website also has videos that present applications.


Data sets

Papers about applications

More Software Tools

Other links

Course evaluation

To guard the quality of our educational programme, each year every course is evaluated by the students that registered for the course. The student feedback helps instructors to evaluate and if necessary adapt their courses, and allows the Department to evaluate its teachers.  For the evaluations to be useful it is necessary that a large number of participants fill out the evaluation forms.

The probabilistic reasoning course is intended to be interesting, motivating, perhaps a bit difficult now and again but doable, challenging and enjoyable. Last, but not least, we hope that you feel that you have learnt many useful things. If for some reason the course wasn't what you'd expected and/or if you have any (reasonable) suggestions to improve the course and everything that comes with it, please fill out the evaluation form.  Suggestions from the evaluations have for example resulted in online and numbered slides, in the addition of a practical assignment, and in a change of notation. If you're completely satisfied then we'd also like to know that and filling out the  evaluation form  would be a way of telling us this.

Those who are interested, can view the evaluations of previous years. For each evaluation the number of registrants (union of OSIRIS subscribers and participants) is listed, in addition to the number of participants (distinct students that participated in and submitted at least one exam in that year), and the number of respondents (students that filled out the evaluation form).