DM864: Advanced Data Mining (5 ECTS)
STADS: N340084101Level
Teaching period
Teacher responsible
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Timetable
| Group | Type | Day | Time | Classroom | Weeks | Comment |
|---|---|---|---|---|---|---|
| Common | I | Monday | 12-14 | 37-39 | ||
| Common | I | Tuesday | 10-12 | 36 | ||
| Common | I | Wednesday | 10-12 | 36-37,39 | ||
| Common | I | Thursday | 08-10 | 37 | ||
| Common | I | Friday | 14-16 | 36 | ||
| H1 | TE | Monday | 12-14 | 40 | ||
| H1 | TE | Monday | 12-14 | IMADA semi | 41 | |
| H1 | TE | Wednesday | 14-16 | U152 | 40 |
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Prerequisites:
None
Academic preconditions:
None
Course introduction
Expected learning outcome
Subject overview
Literature
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Website
This course uses e-learn (blackboard).
Prerequisites for participating in the exam
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Assessment and marking:
Expected working hours
The teaching method is based on three phase model.
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