732A76 · 6 credits · Advanced level (A1F) · Statistik
Research Project
Active · next start HT 2026
100%
passed the latest regular sitting
PROJ · 16 Jan 2026 · 18 students
99%
passed the regular sittings, all sittings over the last 5 years
PROJ · 72 students
14%
Harder than 14% of courses at advanced level
Compared with 285 courses at the same level, ordinary exams over the last three academic years. 32 students.
Part of 1 programme
Hand-in or lab
PROJ Project
- A
- B
- C
- D
- E
- F
Main rounds
99% passed · 72 students
- 100%18
- 93%14
- 100%17
- 100%15
- 100%8
Later rounds
83% passed · 6 students
- 83%6
- Pass a later round: 83% (6 students), compared with 99% (72 students) on the ordinary exam
- Get B or A: 71% (78 students)
Show small sittings (5)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%2
- 100%1
- 100%1
- 100%1
- 100%1
About the course
Aim
After completing the course, the student shall be able to:
- apply data mining or machine learning in a real setting
- plan, perform and report on an individual task
- discuss research and development work within machine learning or related areas
Content
The content of the course is adapted to the addressed problem. The student joins an ongoing research project within statistics, machine learning, data mining or a related field, where the origin of the problem and the research related to it are studied, and where the given problem is analyzed by using methods in the field.
- Examiner
- Isak Hietala
- Main field of study
- Statistik