Data Mining
| Registration | Click here to enroll in this course |
|---|---|
| Course type | Lecture |
| Instructors | Stefan Kramer, Prof. Dr., Jörg Wicker, Dipl.-Bioinf., Michael Geilke, M.Sc. |
| Time | Thursday, 14:00–18:00 |
| Recurrence | weekly from Oct 25, 2012 until Feb 07, 2013 |
| First session | Oct 25, 2012 02:15 PM |
| Location | 03-322 |
| Credits | 6 |
| Directory | Link to the directory entry for this lecture |
- Note:
- This course requires registration .
Contact
If there are any questions or comments regarding the lecture, the tutorials or exercise sheets, please write an email to
teaching-infosys@lists.uni-mainz.de
News
- The first lecture will take place in room 04-426 at 4:00 pm on October 25.
- Please note there is no extra tutorial. Lecture and tutorial will be held in a combined slot, Thursdays from 14.00-18.00
Contents
Procedure
This lecture will be flipped. Each week, the students get materials (i.e. videos, book chapters and scientific papers) to read and study. In the classroom, the students apply the learned knowledge by solving problems and doing practical work. This means the traditional exercise sheets will be solved in the lecture while the preparation, which used to be in the lecture, needs to be done by the students themselves.
Admission To Exam
In the sessions, the students can gather points which are needed for the admission to the final exam. 50 % of the points and at least 25 % of the points of each session are required to gain admission.
Materials
Data mining : concepts and techniques
Author: Jiawei Han, Micheline Kamber
ISBN: 1-55860-489-8
PMC: 10/DATENBANKEN ST 5300 HAN2
Principles of Data Mining
Author: David J. Hand, Heikki Mannila, Padhraic Smyth
ISBN: 978-0262082907
PMC: 10/DATENBANKEN ST 5300 HAN1
Programming Languages
