Syllabus
Registration via LPIS
| Day | Date | Time | Room |
|---|---|---|---|
| Wednesday | 02/27/19 | 09:00 AM - 01:45 PM | LC.-1.038 |
| Wednesday | 03/06/19 | 09:00 AM - 01:45 PM | LC.-1.038 |
| Wednesday | 03/13/19 | 09:00 AM - 01:45 PM | LC.-1.038 |
| Wednesday | 03/20/19 | 09:00 AM - 01:45 PM | LC.-1.038 |
| Wednesday | 03/27/19 | 09:00 AM - 01:45 PM | LC.-1.038 |
| Wednesday | 04/03/19 | 09:00 AM - 01:45 PM | LC.-1.038 |
| Wednesday | 05/08/19 | 09:00 AM - 01:45 PM | LC.-1.022 Übungsraum |
| Wednesday | 05/15/19 | 09:00 AM - 11:30 AM | EA.5.034 |
The course provides an introduction to data mining and model-driven decision support systems. Concepts, methods and examples are provided with a focus on acquiring hands-on experience with widely used methods, libraries and software systems.
After completing the course, students will know how to handle a number of basic data mining methods and how to provide computer-aided decision support.
Continuous assessment courses (PI) requiring attendance according to the rule set of the Master’s program (80%).
Each session combines classic lectures with interactive examples, which provides students with an immediate hands-on experience of various methods. Students are required to prepare material for each lecture and complete homework exercises. Alongside the course, students will work in groups on a data mining project of their choice, for which separate coaching sessions will be offered and which will be presented to class for peer discussion at the end of the course.
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