In this course, students will carry out a small research project
under the supervision of one of the researchers from the Department of
Computer Science in the topics from machine learning, data science, and
The number of credit units should reflect the effort in working hours. The number of credit units is between 5 to 10, the exact number will depend on the difficulty of the project and the
work will be graded by your supervisor.
If you have been working in the department, you can use your work to
pass the course. You can use your summer projects if you have been a
summer trainee somewhere else. You should discuss the details (e.g., the number of
credit points) with your supervisor. Note however, that the same work
cannot be used as a project for more than one courses, or thesis.
See the list of available topics below unless you have a topic already.
To pass the course, the students have to:
optionally, give a 5 minute midterm presentation, describing the current status and the future plans.
optionally, give a 15 minute presentation at the end of the course.
write a report which would resemble a scientific article. The report
should contain introduction to the problem, the proposed solution and
The schedule for autumn 2019 is as follows:
Sep 18, Wed, 14.15-16.00, TU3 : Course logistics and presentation of the research topics. All
students registered in the course can attend to know more about the
Sep 23, Mon, 12 Noon: Topic selection in MyCourses ends
Oct 30, Wed, 14.15-16.00, TU3 : Midpoint presentations.
Dec 11, Wed, 14.15-18.00, T5 : Final presentations.