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AI512: Introduction to Machine Learning (7.5 ECTS)

STADS: N330081101

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 14-16 U23 40
Common I Monday 14-16 U48A 41,43-45
Common I Monday 12-14 U150 46
Common I Monday 14-16 U20 47-48
Common I Wednesday 10-12 U42 40-41,48
Common I Wednesday 10-12 U23 44-47
H8 TE Tuesday 08-10 U50A 47-48
H8 TE Tuesday 10-12 U50A 49-51
H8 TE Wednesday 08-10 U21 43
H8 TE Friday 10-12 44
H8 TE Friday 10-12 U21 45
H8 TE Friday 10-12 U50A 46
H8 TE Friday 12-14 U50A 47-48
H9 TE Tuesday 10-12 U50A 47-48
H9 TE Tuesday 08-10 U50A 49-51
H9 TE Wednesday 12-14 U50A 43
H9 TE Friday 12-14 U50A 44
H9 TE Friday 12-14 45-46
H9 TE Friday 10-12 U50A 47
H9 TE Friday 08-10 U50A 48
H21 TE Tuesday 14-16 U50A 43-45
H21 TE Tuesday 12-14 46
H21 TE Tuesday 14-16 U154 47
H21 TE Tuesday 14-16 U51 48
H21 TE Tuesday 12-14 U51 49
H21 TE Tuesday 12-14 U154 50
H21 TE Tuesday 12-14 U143 51
H21 TE Friday 10-12 U154 47
H21 TE Friday 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.