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77777-01 - Lecture with practical courses: Randomized Algorithms (6 CP)

Semester spring semester 2026
Course frequency Irregular
Lecturers Patrick Schnider (patrick.schnider@unibas.ch, Assessor)
Content Discrete Probability, Las Vegas and Monte Carlo algorithms, Inequalities of Markov, Chebyshev and Chernoff, Randomized Search Trees, Random Graphs, Lovasz Local Lemma, Markov Chains
Learning objectives Students learn the basic principles of randomized algorithms as well as the mathematical background for their analysis.
Bibliography Will be announced in the lecture

 

Language of instruction English
Use of digital media No specific media used
Course auditors welcome

 

Interval Weekday Time Room
wöchentlich Wednesday 12.15-14.00 Spiegelgasse 5, Seminarraum 05.001
wöchentlich Thursday 16.15-18.00 Spiegelgasse 1, Seminarraum U1.001

Dates

Date Time Room
Wednesday 18.02.2026 12.15-14.00 Spiegelgasse 5, Seminarraum 05.001
Thursday 19.02.2026 16.15-18.00 Spiegelgasse 1, Seminarraum U1.001
Wednesday 25.02.2026 12.15-14.00 Fasnachtsferien
Thursday 26.02.2026 16.15-18.00 Fasnachtsferien
Wednesday 04.03.2026 12.15-14.00 Spiegelgasse 5, Seminarraum 05.001
Thursday 05.03.2026 16.15-18.00 Spiegelgasse 1, Seminarraum U1.001
Wednesday 11.03.2026 12.15-14.00 Spiegelgasse 5, Seminarraum 05.001
Thursday 12.03.2026 16.15-18.00 Spiegelgasse 1, Seminarraum U1.001
Wednesday 18.03.2026 12.15-14.00 Spiegelgasse 5, Seminarraum 05.001
Thursday 19.03.2026 16.15-18.00 Spiegelgasse 1, Seminarraum U1.001
Wednesday 25.03.2026 12.15-14.00 Spiegelgasse 5, Seminarraum 05.001
Thursday 26.03.2026 16.15-18.00 Spiegelgasse 1, Seminarraum U1.001
Wednesday 01.04.2026 12.15-14.00 Spiegelgasse 5, Seminarraum 05.001
Thursday 02.04.2026 16.15-18.00 Ostern
Wednesday 08.04.2026 12.15-14.00 Spiegelgasse 5, Seminarraum 05.001
Thursday 09.04.2026 16.15-18.00 Spiegelgasse 1, Seminarraum U1.001
Wednesday 15.04.2026 12.15-14.00 Spiegelgasse 5, Seminarraum 05.001
Thursday 16.04.2026 16.15-18.00 Spiegelgasse 1, Seminarraum U1.001
Wednesday 22.04.2026 12.15-14.00 Spiegelgasse 5, Seminarraum 05.001
Thursday 23.04.2026 16.15-18.00 Spiegelgasse 1, Seminarraum U1.001
Wednesday 29.04.2026 12.15-14.00 Spiegelgasse 5, Seminarraum 05.001
Thursday 30.04.2026 16.15-18.00 Spiegelgasse 1, Seminarraum U1.001
Wednesday 06.05.2026 12.15-14.00 Spiegelgasse 5, Seminarraum 05.001
Thursday 07.05.2026 16.15-18.00 Spiegelgasse 1, Seminarraum U1.001
Wednesday 13.05.2026 12.15-14.00 Spiegelgasse 5, Seminarraum 05.001
Thursday 14.05.2026 16.15-18.00 Auffahrt
Wednesday 20.05.2026 12.15-14.00 Spiegelgasse 5, Seminarraum 05.001
Thursday 21.05.2026 16.15-18.00 Spiegelgasse 1, Seminarraum U1.001
Wednesday 27.05.2026 12.15-14.00 Spiegelgasse 5, Seminarraum 05.001
Modules Doctorate Computer Science: Recommendations (PhD subject: Computer Science)
Module: Applications of Distributed Systems (Master's Studies: Computer Science)
Module: Applications of Machine Intelligence (Master's Studies: Computer Science)
Module: Concepts of Machine Intelligence (Master's degree subject: Computer Science)
Module: Methods of Machine Intelligence (Master's Studies: Computer Science)
Assessment format continuous assessment
Assessment details There will be an oral exam. During the semester the students give a short presentation about one algorithm. A successful presentation is mandatory to be admitted to the final exam.
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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