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DS804: Data mining and machine learning (10 ECTS)

STADS: N340063101

Level


Teaching period


Teacher responsible
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Timetable
Group Type Day Time Classroom Weeks Comment
Common I Monday 12-14 U1 6-10,16-18
Common I Monday 14-16 U23 11,13
Common I Monday 12-14 U23 12
Common I Wednesday 08-10 U1 5-12,16-18
Common I Wednesday 08-10 U55 13
H1 TE Tuesday 16-18 U151 18
H1 TE Wednesday 14-16 U151 15,18,21
H1 TE Wednesday 12-14 U151 15
H1 TE Wednesday 14-16 U155 21
H1 TE Friday 08-10 U154 6
H1 TE Friday 10-12 U154 6
H1 TE Friday 08-10 U155 7-13,15-17,19-20,22
H1 TE Friday 10-12 U155 7-13,15-17,19-20,22
H2 TE Wednesday 12-14 U151 15
H2 TE Wednesday 14-16 U151 18,21
H2 TE Friday 10-12 U154 6
H2 TE Friday 10-12 U155 7-13,15-17,19-20,22
H3 TE Monday 08-10 U168 18
H3 TE Wednesday 08-10 U151 15
H3 TE Thursday 08-10 U151 18
H3 TE Friday 12-14 U154 6-8,12-13,15-16,19-22
H3 TE Friday 14-16 U156 9
H3 TE Friday 14-16 U160 10
H3 TE Friday 14-16 U154 11
H4 TE Wednesday 08-10 U152 15
H4 TE Wednesday 08-10 U151 21
H4 TE Thursday 08-10 U152 18
H4 TE Friday 10-12 U152 6-13,15-17,19-20,22
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Prerequisites:
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Academic preconditions:
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Course introduction


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Subject overview


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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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