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DM581: Introduction to Machine Learning (7.5 ECTS)

STADS: N330066101

Level
Bachelor course

Teaching period
The course is offered in the autumn semester.

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

Timetable
Group Type Day Time Classroom Weeks Comment
Common I Monday 12-14 U21 36
Common I Monday 14-16 U23 37-39
Common I Monday 14-16 U21 40
Common I Monday 14-16 U24 41,43-44
Common I Monday 14-16 U20 46
Common I Wednesday 08-10 U20 36
Common I Wednesday 12-14 U174 37
Common I Wednesday 12-14 U181 38
Common I Wednesday 10-12 U42 40
Common I Wednesday 12-14 U183 41
Common I Wednesday 12-14 U42 43
Common I Wednesday 10-12 U145 44 Studieforum
Common I Thursday 12-14 U42 39
H1 TE Monday 14-16 U146 47
H1 TE Tuesday 10-12 U24 37
H1 TE Tuesday 08-10 U31 41,43
H1 TE Tuesday 14-16 U151 44
H1 TE Tuesday 10-12 U151 48
H1 TE Wednesday 10-12 U30 38
H1 TE Wednesday 08-10 U24A 39
H1 TE Wednesday 08-10 U143 45
H1 TE Wednesday 16-18 U151 47
H1 TE Thursday 12-14 U30 40
H1 TE Thursday 08-10 U142 46
H1 TE Thursday 12-14 U147 48
H2 TE Monday 10-12 U152 47
H2 TE Monday 14-16 U151 48
H2 TE Tuesday 12-14 U24 37
H2 TE Tuesday 10-12 U30 38,41
H2 TE Tuesday 12-14 U31 43-44
H2 TE Wednesday 16-18 U24A 39
H2 TE Wednesday 12-14 40
H2 TE Wednesday 10-12 U30 45
H2 TE Wednesday 12-14 U146 47
H2 TE Thursday 12-14 U30 46
H2 TE Thursday 08-10 48
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Prerequisites:
None

Academic preconditions:
None

Course introduction


Expected learning outcome


Subject overview


Literature
There isn't any litterature for the course at the moment.

Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:


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


Educational activities

Language
This course is taught in Danish.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.