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Root number
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456481 |
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Semester
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HS2023 |
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Type of course
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Seminar |
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Allocation to subject
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Business Administration |
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Type of exam
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Seminar paper |
| Title |
Seminar Applied Business Analytics |
| Description |
The aim of this seminar is to give students hands-on experience in applying machine learning algorithms to real-world business problems. Students will work in groups and will use Python to implement their machine learning system.
Please register until September 12 via e-mail to philipp.baumann@unibe.ch; please include an up-to-date sheet of grades. |
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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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6 |
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Recognition as optional course possible
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No |
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Grading
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1 to 6 |
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| Dates |
Monday 18/9/2023 14:15-18:00
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Monday 2/10/2023 14:15-18:00
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Monday 23/10/2023 14:15-17:00
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Monday 6/11/2023 14:15-16:00
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Friday 10/11/2023 09:00-11:00
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| Rooms |
Seminarraum 105, Engehalde, E8
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| External rooms |
Büro 209, Engehalde, E4
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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