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DS804: Data mining and machine learning (10 ECTS)

STADS: N340063101

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Teaching period


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Timetable
Group Type Day Time Classroom Weeks Comment
Common I Monday 12-14 *Odense Lokalitet aftales 10 5 Online
Common I Monday 12-14 *Odense Lokalitet aftales 13 6-12,15-18 Online
Common I Wednesday 08-10 *Odense Lokalitet aftales 13 5-12 Online
Common I Wednesday 08-10 *Odense ONLINE 5 12 Online
Common I Wednesday 13-15 *Odense Lokalitet aftales 13 15-18 Online
Common I Friday 08-10 *Odense Lokalitet aftales 13 5 Online
H1 TE Monday 12-14 19-20
H1 TE Wednesday 10-12 6-8,18 Online
H1 TE Wednesday 10-12 U46 9-12,15-17 Online
H1 TE Wednesday 14-16 U46 14 Online
H1 TE Thursday 12-14 *Odense Lokalitet aftales 11 14 Online
H1 TE Thursday 10-12 20
H1 TE Thursday 12-14 21
H1 TE Friday 10-12 U46 14 Online
H1 TE Friday 10-12 *Odense ONLINE 9 19
H2 TE Monday 10-12 19-20
H2 TE Tuesday 13-15 U46 14 Online
H2 TE Wednesday 12-14 6-8 Online
H2 TE Wednesday 12-14 U46 9-12 Online
H2 TE Wednesday 12-14 *Odense ONLINE 1 14 Online
H2 TE Wednesday 15-17 *Odense ONLINE 1 15-18 Online
H2 TE Wednesday 13-15 19
H2 TE Thursday 12-14 20
H2 TE Thursday 10-12 21
H2 TE Friday 08-10 U46 14 Online
H3 TE Monday 14-16 *Odense ONLINE 1 17
H3 TE Monday 16-18 *Odense ONLINE 3 19
H3 TE Tuesday 10-12 *Odense Lokalitet aftales 10 14 Online
H3 TE Tuesday 10-12 *Odense Lokalitet aftales 11 15 Online
H3 TE Tuesday 16-18 *Odense ONLINE 1 20
H3 TE Wednesday 08-10 U20 14 Online
H3 TE Wednesday 08-10 *Odense ONLINE 8 15 Online
H3 TE Wednesday 08-10 U140 16 Online
H3 TE Wednesday 08-10 *Odense ONLINE 1 18
H3 TE Thursday 14-16 21
H3 TE Friday 08-10 *Odense Lokalitet aftales 10 6-7 Online
H3 TE Friday 08-10 *Odense Lokalitet aftales 13 8,10-12 Online
H3 TE Friday 08-10 U14 9 Online
H3 TE Friday 12-14 *Odense ONLINE 8 19
H3 TE Friday 12-14 20
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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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