Schedule: 18.09.2019 - 11.12.2019
Contact information for the course (applies in this implementation):
Jorma Laaksonen (email@example.com)
Teaching Period (valid 01.08.2018-31.07.2020):
Learning Outcomes (valid 01.08.2018-31.07.2020):
After the course, the student knows how to carry out a scientific project and write a scientific report in the field of computer and information science.
Content (valid 01.08.2018-31.07.2020):
A project work, which can be done in a group, from the field of computer and information science.
Details on the course content (applies in this implementation):
The goal of the course is to give students an opportunity to work on a small research project within the field of machine learning and data science. During the course, the students will focus on a research topic under the supervision of a researcher. They will present their progress in order to get feedback and will practice their presentation skills. At the end of the semester, a final report in the format of a research paper will be submitted.
Assessment Methods and Criteria (valid 01.08.2018-31.07.2020):
Report and presentation. The course grade is determined by the report (100%).
Elaboration of the evaluation criteria and methods, and acquainting students with the evaluation (applies in this implementation):
optional course assignments
- 5-minute midpoint presentation
- 15-minute final presentation
compulsory course assignments
- A final report of 5-10 pages
|Grade||Quality||Target % of students in that bin|
|4||good, solid working||40%|
|3||just met expectations||25%|
|2|| below expectations||10%|
Workload (valid 01.08.2018-31.07.2020):
Seminars. Independent or group work (discussions with supervisor, programming, reporting, preparation of presentation).
Details on calculating the workload (applies in this implementation):
The number of credit units reflect the effort in working hours. The number of credit units for the course is between 5 and 10. As a rule of thumb, 1 credit unit corresponds to 27 hours of work. Note that “full” courses are typically 5 credit units.
Substitutes for Courses (valid 01.08.2018-31.07.2020):
T-61.5910 Research Project in Computer and Information Science
Grading Scale (valid 01.08.2018-31.07.2020):
Details on the schedule (applies in this implementation):
- 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 course.
- Oct 30, Wed, 14.15-16.00, TU3 : Midpoint presentations.
- Dec 11, Wed, 14.15-18.00, T5 : Final presentations.