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45400-02 - Practical course: Planning and Optimization (8 CP)

Semester fall semester 2025
Further events belonging to these CP 45400-01 (Lecture)
45400-02 (Practical course)
Course frequency Every fall sem.
Lecturers Malte Helmert (malte.helmert@unibas.ch, Assessor)
Gabriele Röger (gabriele.roeger@unibas.ch)
Content see description of the lecture
Learning objectives see description of the lecture
Bibliography see description of the lecture
Weblink course web page

 

Admission requirements see description of the lecture
Course application see description of the lecture
Language of instruction German
Use of digital media Online, mandatory
Course auditors welcome

 

Interval Weekday Time Room
wöchentlich Wednesday 16.15-18.00 Spiegelgasse 1, Seminarraum 00.003

Dates

Date Time Room
Wednesday 17.09.2025 16.15-18.00 Spiegelgasse 1, Seminarraum 00.003
Wednesday 24.09.2025 16.15-18.00 Spiegelgasse 1, Seminarraum 00.003
Wednesday 01.10.2025 16.15-18.00 Spiegelgasse 1, Seminarraum 00.003
Wednesday 08.10.2025 16.15-18.00 Spiegelgasse 1, Seminarraum 00.003
Wednesday 15.10.2025 16.15-18.00 Spiegelgasse 1, Seminarraum 00.003
Wednesday 22.10.2025 16.15-18.00 Spiegelgasse 1, Seminarraum 00.003
Wednesday 29.10.2025 16.15-18.00 Spiegelgasse 1, Seminarraum 00.003
Wednesday 05.11.2025 16.15-18.00 Spiegelgasse 1, Seminarraum 00.003
Wednesday 12.11.2025 16.15-18.00 Spiegelgasse 1, Seminarraum 00.003
Wednesday 19.11.2025 16.15-18.00 Spiegelgasse 1, Seminarraum 00.003
Wednesday 26.11.2025 16.15-18.00 Spiegelgasse 1, Seminarraum 00.003
Wednesday 03.12.2025 16.15-18.00 Spiegelgasse 1, Seminarraum 00.003
Wednesday 10.12.2025 16.15-18.00 Spiegelgasse 1, Seminarraum 00.003
Wednesday 17.12.2025 16.15-18.00 Spiegelgasse 1, Seminarraum 00.003
Modules Doctorate Computer Science: Recommendations (PhD subject: Computer Science)
Module: Applications of Distributed Systems (Master's Studies: Computer Science)
Module: Concepts of Machine Intelligence (Master's Studies: Computer Science)
Module: Concepts of Machine Intelligence (Master's degree subject: Computer Science)
Module: Electives in Data Science (Master's Studies: Data Science)
Module: Methods of Machine Intelligence (Master's Studies: Computer Science)
Assessment format continuous assessment
Assessment details see description of the 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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