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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 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 Monday 08-10 U21 15 Aflyst
H1 TE Tuesday 10-12 U21 17
H1 TE Wednesday 08-10 U50A 20
H1 TE Wednesday 14-16 U26 22
H1 TE Thursday 08-10 U50A 7-9,17
H1 TE Thursday 08-10 U21 11,14
H1 TE Thursday 16-18 U21 13
H1 TE Thursday 14-16 U21 15 Ny tid
H1 TE Thursday 14-16 U151 18
H1 TE Thursday 16-18 U161 19
H1 TE Friday 12-14 U50A 10
H1 TE Friday 12-14 U21 12
H1 TE Friday 08-10 U50A 21
H2 TE Monday 12-14 U50A 15
H2 TE Monday 08-10 U156 18
H2 TE Tuesday 12-14 U50A 17
H2 TE Wednesday 12-14 U156 17
H2 TE Thursday 10-12 U50A 7,19-20
H2 TE Thursday 10-12 U51 8-12
H2 TE Thursday 12-14 U50A 18
H2 TE Thursday 08-10 U50A 21
H2 TE Friday 14-16 U51 13
H2 TE Friday 14-16 U50A 22
H3 TE Tuesday 08-10 U14 17
H3 TE Tuesday 08-10 U157 18
H3 TE Thursday 10-12 U48 7
H3 TE Thursday 10-12 U168 8
H3 TE Thursday 10-12 9
H3 TE Thursday 10-12 U156 10-11
H3 TE Thursday 10-12 U153 12
H3 TE Thursday 10-12 U14 13
H3 TE Friday 14-16 U14 14
H3 TE Friday 08-10 U153 15
H3 TE Friday 14-16 U157 17
H3 TE Friday 12-14 U151 19,21
H3 TE Friday 14-16 U151 20
H3 TE Friday 12-14 U152 22
H4 TE Tuesday 08-10 U155 17
H4 TE Thursday 08-10 U151 14
H4 TE Thursday 10-12 U50A 17
H4 TE Thursday 14-16 U50A 18
H4 TE Thursday 10-12 U154 19,21
H4 TE Thursday 08-10 U154 20
H4 TE Friday 10-12 U156 7
H4 TE Friday 10-12 U50A 8
H4 TE Friday 14-16 U151 9,11
H4 TE Friday 12-14 U151 10
H4 TE Friday 10-12 U151 12
H4 TE Friday 14-16 U154 13,15
H4 TE Friday 10-12 U154 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).

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Assessment and marking:


Expected working hours
The teaching method is based on three phase model.


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