BMB547: Molecular Data Science (10 ECTS)

STADS: N200042111

Level
Bachelor course

Teaching period
The course begins in the autumn semester and continues in the spring semester.

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

Timetable
Group Type Day Time Classroom Weeks Comment
Common I Monday 08-10 U23 44
Common I Tuesday 12-14 U140 37,40-41,45
Common I Tuesday 10-12 U110 38
Common I Tuesday 14-16 U110 39
Common I Tuesday 16-18 U23 47
Common I Wednesday 10-12 U150 44
H10 TE Monday 12-14 U29A 43
H10 TE Tuesday 12-14 U146 38,46-48
H10 TE Tuesday 16-18 U146 39
H10 TL Tuesday 10-14 White Lab 39
H10 TL Tuesday 08-12 White Lab 43
H10 TE Wednesday 10-12 U146 40-41,45
H10 TL Wednesday 08-12 White Lab 46
H10 TE Thursday 08-10 U146 44
H10 TL Friday 08-12 White Lab 47
H11 TL Monday 08-12 White Lab 43
H11 TL Wednesday 08-12 White Lab 39
H11 TE Wednesday 10-12 U31 43,48
H11 TL Wednesday 14-18 White Lab 45
H11 TE Thursday 10-12 U31 38-41,44-47
H11 TL Friday 13-17 White Lab 47
H12 TL Wednesday 14-18 White Lab 39
H12 TL Wednesday 08-12 White Lab 43
H12 TE Thursday 12-14 U31 38,46
H12 TE Thursday 10-12 U151 39
H12 TE Thursday 08-10 U24A 40
H12 TE Thursday 08-10 U31 41
H12 TE Thursday 10-12 U31 43,48
H12 TE Thursday 14-16 U31 44,47
H12 TL Thursday 14-18 White Lab 45
H12 TE Friday 10-12 U31 45
H12 TL Friday 08-12 White Lab 46
H14 TE Wednesday 14-16 U31 43
H14 TL Thursday 08-12 White Lab 39,43
H14 TL Thursday 14-18 White Lab 47
H14 TE Friday 08-10 U31 38-41,44-46
H14 TL Friday 13-17 White Lab 45
H14 TE Friday 13-15 U31 47
H14 TE Friday 12-14 U31 48
H15 TL Monday 14-18 White Lab 43
H15 TE Wednesday 08-10 U32 43
H15 TL Wednesday 14-18 White Lab 47
H15 TE Thursday 12-14 U31 48
H15 TE Friday 12-14 U31 38,40-41
H15 TL Friday 08-12 White Lab 39,45
H15 TE Friday 14-16 U31 39
H15 TE Friday 10-12 U31 44,46
H15 TE Friday 13-15 U31 45
H15 TE Friday 08-10 U31 47
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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.