392123 Introduction to Data mining (V) (WiSe 2019/2020)
Contents, comment
-
Das Modul bietet eine Einführung in grundlegende Methoden des Datamining, der explorativen Datenanalyse und dafür einschlägigen Verfahren maschinellen Lernens und der Visualisierung von Daten.
This module offers an introduction into basic methods of data mining, exploratory data analysis and relevant machine learning methods and visualization techniques for high-dimensional data.
Requirements for participation, required level
-
Nützlich: Neuronale Netze und Lernen, Bildverarbeitung, Vertiefung Mathematik
Querbezüge zu: Information Visualization, Sequenzanalyse, Mustererkennung bzw. Musterklassifikation
Bibliography
-
Statistics: Numerical Recipes in C (selected chapters including t-test, chi2-test, KS-test, linear correlation, cramer's V, etc.)
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Mi | 12-14 | CITEC | 07.10.2019-31.01.2020
not on: 10/23/19 / 12/25/19 / 1/1/20 |
|
| one-time | Mi | 12-14 | X-E0-002 | 23.10.2019 |
Examinations
| Date | Time | Format / Room | Comment about examination |
|---|---|---|---|
| Friday, February 14, 2020 | 10-12 | CITEC | |
| Friday, April 3, 2020 | 10-12 | CITEC | Nachklausur |
Hide passed examination dates <<
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-DM Introduction to Data Mining Grundlagen Datamining | Grundlagen Datamining | Ungraded examination
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.
- E-Learning Space
- E-Learning Space
- Address:
- WS2019_392123@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_177499138@ekvv.uni-bielefeld.de
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Thursday, June 6, 2019
- Last update times:
- Wednesday, November 20, 2019
- Last update rooms:
- Wednesday, November 20, 2019
- Type(s) / SWS (hours per week per semester)
- lecture (V) / 2
- Department
- Faculty of Technology
- Questions or corrections?
- Questions or correction requests for this course?
- Planning support
- Clashing dates for this course
- Links to this course
- If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
- The following link includes the course ID and is always unique:
- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=177499138
- Send page to mobile
-
Click to open QR code
Scan QR code:
- ID
- 177499138