DM870: Data mining and machine learning (10 ECTS)
STADS: N340033101Level
Teaching period
Teacher responsible
No responsible teachers found, contact the department if necessary
Timetable
| Group | Type | Day | Time | Classroom | Weeks | Comment |
|---|---|---|---|---|---|---|
| Common | I | Monday | 14-16 | U55 | 6-8,10-12,15-18 | |
| Common | I | Monday | 14-16 | U150 | 9 | |
| Common | I | Wednesday | 08-10 | U55 | 6 | |
| Common | I | Wednesday | 12-14 | U1 | 7-12 | |
| Common | I | Friday | 12-14 | U1 | 15-17 | |
| H1 | TE | Monday | 12-14 | U166 | 22 | |
| H1 | TE | Tuesday | 14-16 | U21 | 12 | |
| H1 | TE | Wednesday | 14-16 | U53 | 14-15 | |
| H1 | TE | Wednesday | 10-12 | U53 | 19 | |
| H1 | TE | Thursday | 12-14 | U153 | 6 | |
| H1 | TE | Thursday | 12-14 | U166 | 7-8,20 | |
| H1 | TE | Thursday | 14-16 | U171 | 9 | |
| H1 | TE | Thursday | 12-14 | U53 | 16-17 | |
| H1 | TE | Thursday | 08-10 | U53 | 18 | |
| H1 | TE | Thursday | 14-16 | U166 | 21 | |
| H1 | TE | Friday | 10-12 | U146 | 10 | |
| H1 | TE | Friday | 10-12 | U141 | 11 |
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Prerequisites:
None
Academic preconditions:
None
Course introduction
Expected learning outcome
Subject overview
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This course uses e-learn (blackboard).
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Assessment and marking:
Expected working hours
The teaching method is based on three phase model.
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