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17165-02 - Practical course: Machine Learning 8 CP

Semester spring semester 2024
Course frequency Every spring sem.
Lecturers Volker Roth (volker.roth@unibas.ch, Assessor)
Content see description of lecture
Learning objectives see description of lecture
Bibliography see description of lecture

 

Admission requirements see description of lecture
Course application Übung: http://courses.cs.unibas.ch
Language of instruction English
Use of digital media Online, optional
Course auditors welcome

 

Interval Weekday Time Room
wöchentlich Wednesday 16.15-18.00 Biozentrum, Hörsaal U1.141

Dates

Date Time Room
Wednesday 28.02.2024 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 06.03.2024 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 13.03.2024 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 20.03.2024 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 27.03.2024 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 03.04.2024 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 10.04.2024 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 17.04.2024 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 24.04.2024 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 01.05.2024 16.15-18.00 Tag der Arbeit
Wednesday 08.05.2024 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 15.05.2024 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 22.05.2024 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 29.05.2024 16.15-18.00 Biozentrum, Hörsaal U1.141
Modules Doctorate Computer Science: Recommendations (PhD subject: Computer Science)
General Electives in Business and Economics: Additional Courses (Master's Studies: Business and Economics)
Kernfächer und Seminar (Master's Studies: Computational Biology and Bioinformatics)
Modul: Concepts of Machine Intelligence (Master's degree subject: Computer Science)
Module: Applications of Distributed Systems (Master's Studies: Computer Science)
Module: Concepts of Machine Intelligence (Master's Studies: Computer Science)
Module: Interdisciplinary and Transfer of Knowledge (Master's Studies: Actuarial Science)
Module: Machine Learning Foundations (Master's Studies: Data Science)
Assessment format continuous assessment
Assessment details see description of lecture
Assessment registration/deregistration Reg.: course registration, dereg: cancel course registration
Repeat examination no repeat examination
Scale 1-6 0,5
Repeated registration as often as necessary
Responsible faculty Faculty of Science, studiendekanat-philnat@unibas.ch
Offered by Fachbereich Informatik

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