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DM566: Data mining and machine learning (10 ECTS)

STADS: N330039101

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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 Tuesday 11-13 U46 14 Online
H1 TE Wednesday 12-14 U46 14 Online
H1 TE Wednesday 15-17 *Odense Lokalitet aftales 10 17 Online
H1 TE Wednesday 16-18 *Odense Lokalitet aftales 10 19-20 Online
H1 TE Friday 10-12 6-8,19-21 Online
H1 TE Friday 10-12 U46 9-12,15-16 Online
H1 TE Friday 15-17 U46 14 Online
H1 TE Friday 10-12 *Odense ONLINE 9 18
H2 TE Tuesday 09-11 U46 14 Online
H2 TE Wednesday 10-12 U46 14 Online
H2 TE Wednesday 14-16 *Odense Lokalitet aftales 10 19-20 Online
H2 TE Thursday 08-10 U46 17 Online
H2 TE Friday 08-10 6-8,18-21 Online
H2 TE Friday 08-10 U46 9-12,15-16 Online
H2 TE Friday 13-15 U46 14 Online
H3 TE Monday 08-10 20
H3 TE Tuesday 08-10 U155 14 Online
H3 TE Wednesday 10-12 17 Online
H3 TE Wednesday 14-16 *Odense ONLINE 5 19
H3 TE Wednesday 12-14 20
H3 TE Thursday 10-12 6 Online
H3 TE Thursday 08-10 7,15-16,18 Online
H3 TE Thursday 15-17 8 Online
H3 TE Thursday 14-16 U157 9,11 Online
H3 TE Thursday 15-17 U155 10 Online
H3 TE Thursday 08-10 U155 12 Online
H3 TE Thursday 12-14 *Odense ONLINE 4 14 Online
H3 TE Thursday 10-12 *Odense ONLINE 2 21
H3 TE Friday 14-16 U31A 14 Online
H3 TE Friday 08-10 19
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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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