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DM870: Data mining and machine learning (10 ECTS)

STADS: N340033101

Level


Teaching period


Teacher responsible
No responsible teachers found, contact the department if necessary

Timetable
Group Type Day Time Classroom Weeks Comment
Common I Monday 08-10 U1 7,21
Common I Monday 15-17 U55 9
Common I Monday 12-14 U55 14,17-18
Common I Tuesday 14-16 U1 6
Common I Tuesday 16-18 U1 8
Common I Tuesday 08-10 U1 9
Common I Wednesday 14-16 U1 7,18
Common I Wednesday 16-18 U1 8,11-13
Common I Thursday 14-16 U1 6
Common I Friday 10-12 U55 7-8,14
Common I Friday 08-10 U55 11-13,21
H1 TE Monday 14-16 U146 17
H1 TE Monday 08-10 U146 19
H1 TE Monday 14-16 U24A 20
H1 TE Tuesday 14-16 U145 16
H1 TE Tuesday 10-12 U24A 21
H1 TE Wednesday 12-14 U146 18
H1 TE Wednesday 08-10 U24A 19
H1 TE Thursday 10-12 U156 6
H1 TE Thursday 14-16 U146 10
H1 TE Thursday 14-16 U155 11-12
H1 TE Thursday 12-14 U154 13
H1 TE Thursday 14-16 U145 14
H1 TE Thursday 12-14 U24A 20
H1 TE Friday 12-14 U156 7
H1 TE Friday 14-16 U154 9
H1 TE Friday 08-10 U146 16
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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.


Educational activities

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Language
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Course enrollment
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