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Root number
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420844 |
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Semester
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FS2022 |
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Type of course
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Lecture |
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Allocation to subject
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Business Administration |
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Type of exam
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Written exam |
| Title |
Business Analytics |
| Description |
This course covers machine learning techniques for regression, classification, association rule learning, and clustering. The techniques will be illustrated in integrated exercises based on examples from finance, marketing, and management. |
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ILIAS-Link (Learning resource for course)
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No registration/deregistration in CTS (Admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr.
Philipp Baumann, Chair of Quantitative Methods in Business Administration ✉
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ECTS
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3 |
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Recognition as optional course possible
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Yes |
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Grading
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1 to 6 |
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| Dates |
Monday 14:15-16:00 Weekly
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Monday 7/3/2022 16:15-18:00
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Tuesday 13/9/2022 13:15-15:00
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| Rooms |
Hörraum 101, Hauptgebäude H4
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| External rooms |
Hörraum 110, Hauptgebäude H4
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Hörraum 114, Hauptgebäude H4
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| |
| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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