WiSe17: Lecture Intelligent Data Management
|Lecturer:||Dr. Lena Wiese|
|ECTS (SWS):||5.00 (3.00)||Date:||Lecture: Thu. 12:15-13:45 |
Exercises: 10:00 (group 1) and 10:45 (group 2)
|Audience||Applied Computer Science MSc|
Applied Computer Science BSc
The students learn key concepts of obtaining information from complex data; the students gain knowledge about the specification and complexity of intelligent algorithms that process and analyze such data. Topics covered in the lecture are recommendation systems, clustering, distance measures, and dimensionality reduction.
Active participation during the exercises and regular submission of solutions is required.
Every participant has to register in the studIP system and be present at the oral examination.
Individual oral tests (in English or German)
Time slots: end of the semester