|
|
Root number
|
424621 |
|
Semester
|
FS2025 |
|
Type of course
|
Lecture |
|
Allocation to subject
|
Business Administration |
|
Type of exam
|
Written exam |
| Title |
Big Data Analytics |
| Description |
This course covers scalable methods for descriptive and predictive analytics. The course consists of lectures (Monday) and exercises (Tuesday). |
|
ILIAS-Link (Learning resource for course)
|
Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
|
|
Link to another web site
|
|
| Lecturers |
Prof. Dr.
Philipp Baumann, Chair of Quantitative Methods in Business Administration ✉
|
|
Maude Bersier, Chair of Quantitative Methods in Business Administration ✉
|
|
ECTS
|
6 |
|
Recognition as optional course possible
|
No |
|
Grading
|
1 to 6 |
| |
| Dates |
Monday 08:15-10:00 Weekly
|
|
Tuesday 08:15-10:00 Weekly
|
| |
| Rooms |
Hörsaal 2 002, Engehalde, E8
|
| |
| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
User:
Öffentlicher Bereich
Support