Lecturer: Michael Gutmann
Teaching assistant: Steven Kleinegesse (email)
Drop-in hour: Monday 2-3pm, room AT 4.09 Wednesday 2-3pm, in the “Course Room” on Blackboard Collaborate
Please give Steven a heads-up by email with subject “drop-in” by 5pm the day before.

Recent announcements

Mar 30, 2020 The material for tutorial 8 is online.
Mar 29, 2020 Uploaded the slides on Variational Inference and Learning, the optional slides on Learning for HMMs, and the slides with the course recap.
Mar 27, 2020 Uploaded solutions to tutorial 7.
Mar 21, 2020 We will use Blackboard Collaborate for the online teaching (lectures and tutorials). I have updated the Learn page accordingly. You can access it via “Course Materials” in the navigation panel on the Learn page.
Mar 21, 2020 Uploaded the slides on Score Matching, Sampling and Monte Carlo Integration, and the material for tutorial 7.

Assessment

  • The course is assessed by a written exam (100% of final mark). There is no assignment. PMR follows the Common Marking Scheme of the university.
  • Please see here for the University’s archive of PMR exam papers (search for probabilistic modelling and reasoning).
  • The exam date is announced here.
  • The course follows the school-wide academic conduct policy.