We do NOT list courses on this website which have an additional registration phase, like the seminars and some of the programming courses. Information on the registration for such courses will be distributed by our deans office via round-mail.

Faculty Statistics

• Statistical Theory 4 + 2, 9 ECTS, MD 2 Demetrescu/Jentsch Tu. 10:00 to 12:00 Mathematics - E 28 We. 10:00 to 12:00 Emil-Figge-Straße 50 - HS 3
• Data Science in Context 2 + 1, 3 ECTS Bürkner The class will be held irregularly on Mondays (within 14:15-17:45)
• Asymptotic Theory, 2 + 1, 4.5 ECTS, MD E1 Second half of Semester We. 12:00 to 14:00 CDI/ZHB - 120 Th. 14:00 to 16:00 CDI/ZHB - 120
• Survival Analysis 4 + 2, 9 ECTS, MD E1 Dobler Mon. 12:00 to 14:00 Mathematics - E 21 Tu. 14:00 to 16:00 Mathematics - E 21
• Text as Data 4 + 2, 9 ECTS, MD E1RiegerTu. 16:00 to 18:00 CT Central Area - HS ZE 15We. 16:00 to 18:00 Emil-Figge-Straße 50 - HS 2
• Panel Data Econometrics 4 + 2, 9 ECTS, MD E1DemetrescuWe. 14:00 to 18:00 Mathematics - E 27We. 14:00 to 18:00 Mathematics - E 21
• Bayesian Deep Learning 4 + 2, 9 ECTS, MD E1Klein/UstyuzhaninovTu. 14:00 to 16:00 Mathematics - E 25Th. 14:00 to 16:00 Mathematics - E 21
• Applied Bayesian Data Analysis 2 + 1, 9 ECTS, MD E? (will be announced in lecture)Ickstadt/BürknerMo. 14:00 to 16:00 CDI/ZHB - 120Tue. 10:00 to 12:00 Mathematics - E 21
• Statistics in Toxicology I / Modeling 2 + 1, 4.5 ECTS, MD E2Rahnenführer/KappenbergFirst half of semester:Mon. 10:00 to 12:00 Chemistry - HS 1Th. 12:00 to 14:00 Mathematics - E 21
• Statistics in Toxicology II / Testing 2 + 1, 4.5 ECTS, MD E2Rahnenführer/KappenbergSecond half of semester:Mon. 10:00 to 12:00 Chemistry - HS 1Th. 12:00 to 14:00 Mathematics - E 21
• Industrial Data Science I, 2 + 1, 3 ECTS, MD E2PaulyFr. 08:15 to 09:45 Emil-Figge-Straße 50 - HS 1
• Introduction to R" 1 + 1, 3 ECTS, Part of MD 3HornTh. 10:00 to 12:00 CT Central Area - HS ZE 02

Faculty of Mathematics

• Numerical Methods for PDEs, 2 + 1, 4 ECTS, MD E1Fr. 14:00 to 16:00 Hörsaalgebäude II - HS 1
• Programming Course: Data Science with Python, 2 + 1, 3 ECTS, MD 3IbrahimWe. 09:00 to 13:00 Mathematics - CIP

Faculty of Computer Science

• Big Data Analytics 4 + 2, 9 ECTS, MD 5, enE. MüllerTu. 16:15 to 18:00 Lecture Hall Building II - HS 6Th. 14:15 to 16:00 Lecture Hall Building II - HS 6

Faculty Statistics

• Advanced Statistical Learning, 4+2 9 ECTS, MD 1 Tue, 16-18, HF 50, HS 3 Thu, 16-18, EF 50, HS 3
• Generalized Linear Models, 4+2, 9 ECTS, MD E1 Tue, 10-12, M E21 Wed, 12-14, CT ZE 01 Groll
• Time Series Analysis, 4+2, 9 ECTS, MD E1, ME 4 9 ECTS Tue, 10-12, Mechanical Engineering, HS 1 Thu, 12-14, CT ZE 02 Jentsch
• Unit root and cointegration analysis, 4+2, MD E1, ME 7, 9 ECTS Fri, 10-16, from 05.05.2023 on, M E27 Arsova
• Advanced Bayesian Data Analysis, 2+2, MD E1, ME 7 4.5 ECTS Thu, 10-12, M E25 Klein
• Selected Topics in Data Science, 2+2, MD E1, 4.5 ECTS Thu, 14-16, CDI 120 Klein
• Econometrics, 4+2, MD E2, 9 ECTS Tue, 8-10, M E 28 Thu, 10-12, M E28 Jentsch
• Statistical Methods in Genetics (Bioinformatics), 4+2, MD E2, 9 ECTS Mon, 14-16, M E21 Thu, 14-16, M E21 Rahnenführer
• Resampling & Simulations, 2+1, MD E2, ME 7, 6 ECTS Wed, 12-14 M E27 Thu, 12-14 M E27 Pauly / Amro Lecture ends on May 04. Prerequisite: Passed Statistical Theory
• Industrial Data Science 2, 2P, MD E2, 4.5 ECTS Pauly

Faculty of Mathematics

• Numerical Solution of Differential Equations, 2+1, MD E1, 5 ECTS Damanik M/E29 Mon 10-12 EF/HS3 Fri 12-14
• Introduction to Computational Fluid Dynamics (CFD) Kuzmin M/1011 Tue 10:00 2h

Faculty of Computer Science

• Architecture and Implementation of Database Systems, 4+2, MD E1, 8 ECTS Teubner Mon, 8-10, OH12, E.003 Wed, 8-10, OH12, E.003
• Machine Learning Paradigms for Complex Data, 4+2, MD E1, 8 ECTS E. Müller Tue, 12-14, HG II, HS 5 Thu, 14-16, EF 50, HS 2
• Real-Time Systems and Applications, 4+2, MD E1, 8 ECTS Chen Thu, 12-14, OH12, E.003 Fri, 10-12, OH12, E.003

Courses of other faculties / universities

• Machine Learning in Robotics, MD E2, Hoffmann Tue, 12-14, HG II HS 4 Registration already closed
• Introduction to Artificial Intelligence, MD E1, 2+1, 3 ECTS Wiskott Course at RUB Registration already closed
• Game Theory, MD E2, 4, 7.5 ECTS Mon, 8:30-12, M127 Buchheim Course from the Faculty of Business and Economics