|
Root number
|
424621 |
Semester
|
HS2022 |
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)
|
No registration/deregistration in CTS (Admission in ILIAS possible).
ILIAS
|
Link to another web site
|
|
Lecturers |
Prof. Dr.
Philipp Baumann, Chair of Quantitative Methods in Business Administration ✉
|
|
Tamara Bigler, 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
|
|
Monday 13/2/2023 08:15-10:00
|
|
Rooms |
Hörraum 120, Hauptgebäude H4
|
External rooms |
Aula 210, Hauptgebäude H4
|
|
Hörraum 106, Hauptgebäude H4
|
|
Hörraum 114, Hauptgebäude H4
|
|
Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |