|Website:||website containing additional information|
|Period:||period 2 (week 46 through 5, i.e., 9-11-2020 through 5-2-2021; retake week 16)|
|Participants:||up till now 79 subscriptions|
|Schedule:||Official schedule representation can be found in MyTimetable|
|Note:||No up-to-date course description available.|
Text below is from year 2019/2020
|Contents:||Knowledge of elementary probability theory, statistics,
multivariable calculus and linear algebra is presupposed.
In this course we study statistical pattern recognition and machine learning.
The subjects covered are:
|Course form:||Lectures and computer lab sessions.|
|Exam form:||Written exam and practical assignments.|
|Minimum effort to qualify for 2nd chance exam:||To qualify for the retake exam, the grade of the original must be at least 4.|