392141 Grundlagen Maschinellen Lernens (Ü) (SoSe 2014)
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Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| every two weeks | Di | 8-10 | T2-204 | 29.04.-18.07.2014 | |
| every two weeks | Mi | 14-16 | C01-148 | 30.04.-18.07.2014 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-ML_ver1 Introduction to Machine Learning Grundlagen Maschinelles Lernen | Grundlagen Maschinellen Lernens | Graded examination
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Informatik / Bachelor | (Enrollment until SoSe 2011) | Nebenfach | Neuronale Netze und Lernen | Wahlpflicht | 6. | 3 | benotet /unbenotet + 3 LP für mdl. Prüfung |
| Intelligente Systeme / Master | (Enrollment until SoSe 2012) | Neuronale Netze und Lernen | Wahlpflicht | 2. | 3 | benotet /unbenotet + 3 LP für mdl. Prüfung | |
| Kognitive Informatik / Bachelor | (Enrollment until SoSe 2011) | Neuronale Netze und Lernen | Pflicht | 6. | 3 | benotet + 3 LP für mdl. Prüfung | |
| Naturwissenschaftliche Informatik / Bachelor | (Enrollment until SoSe 2011) | Neuronale Netze und Lernen | Wahlpflicht | 6. | 3 | benotet /unbenotet + 3 LP für mdl. Prüfung | |
| Naturwissenschaftliche Informatik / Diplom | (Enrollment until SoSe 2004) | allgem.HS; NNet; ME; CM | HS | ||||
| Naturwissenschaftliche Informatik / Master | (Enrollment until SoSe 2012) | Neuronale Netze | Wahlpflicht | 2. | 3 | benotet /unbenotet + 3 LP für mdl. Prüfung | |
| Studieren ab 50 |
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- SS2014_392141@ekvv.uni-bielefeld.de
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- Last update basic details/teaching staff:
- Friday, December 11, 2015
- Last update times:
- Friday, April 11, 2014
- Last update rooms:
- Friday, April 11, 2014
- Type(s) / SWS (hours per week per semester)
- exercise (Ü) / 1
- Department
- Faculty of Technology
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