Department of Information Technology

Probabilistic Machine Learning (PML) PhD course (5+3hp)

Spring 2018


During the course you are encouraged to carry out a project (preferably 1-4 students in each team), although it is not mandatory. The projects must include real data. The main purpose of these projects is to provide the opportunity to learn more about concepts relevant to the course and for successfully doing this you will get payed 3hp. Some of the projects usually produce fruitful ideas/starting points for new research directions.

Time table
June 8 Project proposals are due. Send the pdf via e-mail to Thomas Schön
June 12 Project proposal presentations
August 28 Final reports are due
August 30 Final project presentations using posters. Time: 10:30, Room: ITC:4308

Brief description of the steps mentioned above.
Project Proposal: The report should explain the project background, the data set, the idea and how the work will be carried out. Upper page limit: 3. For the presentation, each team has 5-10 minutes for presentation and discussion.
Final Report: Final project report, clearly explains what has been accomplished within the project. The data set used should also be properly introduced. Upper page limit: 6.
Final Presentation: Given the relatively large number of projects this year we decided to use posters to present the projects.

Updated  2018-08-27 14:59:01 by Thomas Schön.