Website: | website containing additional information | |||||||||||||||||||||||||
Course code: | INFOMPR | |||||||||||||||||||||||||
Credits: | 7.5 ECTS | |||||||||||||||||||||||||
Period: | period 2 (week 46 through 5, i.e., 9-11-2020 through 5-2-2021; retake week 16) | ![]() | ||||||||||||||||||||||||
Timeslot: | D | |||||||||||||||||||||||||
Participants: | up till now 129 subscriptions | |||||||||||||||||||||||||
Schedule: | Official schedule representation can be found in MyTimetable | |||||||||||||||||||||||||
Teachers: |
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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:
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Literature: | May change!
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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. |