|Website:||website containing additional information|
|Period:||period 1 (week 36 through 45, i.e., 3-9-2020 through 6-11-2020; retake week 1)|
|Participants:||up till now 153 subscriptions|
|Schedule:||Official schedule representation can be found in MyTimetable|
For questions about enrollment, registration, waiting lists, admittance, etc. please contact the student desk at email@example.com.
This course is aimed at students of the Computing Science (COSC) master program. It is required that the student has:
After this course the student knows how several well-known
data mining algorithms work, how and when they can be applied,
Topics covered include (content can vary somewhat from year to year):
Furthermore, the student understands general problems of data-analysis,
such as overfitting, the curse of dimensionality, and model selection.
|Literature:||Selected book chapters, articles, and lecture notes.|
|Course form:||Lectures and Computer Lab.|
|Exam form:||Written exam and practical assignments.|
|Minimum effort to qualify for 2nd chance exam:|