The available topics will be published on Wednesday 16.9. before the lecture. A questionnaire for selecting/announcing the topics will be made available the same time.
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 (and in some cases by researchers outside the department) in the topics from machine learning, data science, and artificial intelligence.
The main purpose of this course is to provide you an experience to the practical research. Specifically, at the end of the course, you should be able to:
Focus and study deeper a research problem
Search, find, and study related literature
Collaborate with other researchers, be part of a research team
Find out how theory works in practice
Deal with uncertainty and frustration of not knowing the correct answer
Communicate your results with presentations and reports
CREDIT POINTS AND GRADING
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 workload. The number of credit units will be determined and the work will be graded by your supervisor. Grade will reflect the quality of your work and your final report. Supervisors will be asked to grade according to following distribution:
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 that you should not take credit units for the same project in another course and project cannot be used as MSc thesis project although MSc thesis project can be a continuation.
If you do not have a topic already and if ou are seeking for a research topics, you can select one from the list of available project topics below (see Available Project Topics pdf).
If you already have or if you want to find or propose some other topic
you need to have and/or find a supervisor
Everyone should go to Topic Selection questionnaire and tell us whether you already have a project done OR in progress OR if you need a topic by 23th of September.
For those who are willing to work on one of the project topics listed (please see the list of topics below), we will follow a matchmaking procedure to assign project topics.
Matchmaking Procedure: we will match projects to students, while trying to satisfy their preferences.
you will work on a topic alone or in small project group of 2-3 people (if OK with the supervisor)
there can be more than one project for one topic (if OK with the supervisor)
Please go to Topic Selection questionnaire and indicate topics in your order of preference by 23th of September. You will be contacted ASAP by either the supervisor or Selen.
To pass the course, the students have to:
fill the topic selection questionnaire: fill the questionnaire by 23th of September
optional oral presentation: give an oral presentation to the supervisor, describing the research output and the future plan
the format and the content of the oral presentation will be agreed together with the supervisor, and the presentation will be held to the supervisor.
presentation is not mandatory, but strongly recommended.
compulsory final report: write a report which would resemble a scientific article. The report should contain introduction to the problem, the proposed solution and experimental results. Supervisor should provide guidance and feedback on the report
5-10 pages in the format of a research paper
a typical report consists of abstract, introduction, motivation, problem statement, review of related work, proposed solution, implementation, empirical evaluation methodology, results, discussion, conclusions
CS-IT : Paniikki and Maari workstations
- specific software can be installed, per request
Arrange with supervisors to get an account in Triton