DM868: Data mining and machine learning for computational biomedicine (10 ECTS)
STADS: N340034101Level
Teaching period
Teacher responsible
No responsible teachers found, contact the department if necessary
Timetable
| Group | Type | Day | Time | Classroom | Weeks | Comment |
|---|---|---|---|---|---|---|
| Common | I | Wednesday | 10-12 | U55 | 6-15,20 | afsane@imada.sdu.dk |
| Common | I | Friday | 08-10 | U55 | 6-14 | afsane@imada.sdu.dk |
| H1 | TE | Tuesday | 08-10 | U153 | 17 | |
| H1 | TE | Tuesday | 08-10 | U13 | 18 | |
| H1 | TE | Thursday | 10-12 | U26 | 7 | |
| H1 | TE | Thursday | 10-12 | U14 | 8 | |
| H1 | TE | Thursday | 10-12 | U46 | 9 | |
| H1 | TE | Thursday | 10-12 | U13 | 10-12 | |
| H1 | TE | Thursday | 08-10 | U160 | 13 | |
| H1 | TE | Friday | 14-16 | U164 | 14-15 | |
| H1 | TE | Friday | 14-16 | U13 | 17 | |
| H1 | TE | Friday | 08-10 | U160 | 19 | |
| H1 | TE | Friday | 10-12 | U161 | 20 | |
| H1 | TE | Friday | 12-14 | U171 | 21-22 |
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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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Course enrollment
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