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.

From this semester onwards, the course "Introductory Case Studies" will no longer be offered. Please attend the Bachelor course Fallstudien I instead; participation in English only is guaranteed.

Faculty of Statistics

• Advanced Statistical Learning, 4+2, 9 ECTS, MD 1 Prof. Groll Th. 16:00 to 18:00 Emil-Figge-Straße 50 - HS 3
• Generalized Linear Models, 4+2, 9 ECTS, MD E1 Prof. Groll We. 12:00 to 14:00 CT Zentralbereich - HS ZE 01
• Econometrics, 4+2, 9 ECTS, MD E2 Prof. Demetrescu Tu. 16:00 to 18:00 Lecture Hall Building I - HS 4 Th. 10:00 to 12:00 Mathematics - E 28
• Time Series Analysis, 4+2, 9 ECTS, MD E1 JProf. Arsova Tu. 10:00 to 12:00 Mechanical Engineering I - Main Building - HS 1 Th. 12:00 to 14:00 CT Central Area - HS ZE 02
• Empirical Processes, 2+1, 4.5 ECTS, MD E1 JProf. Dobler Mon. 12:00 to 14:00 Mathematics - E 21
• Statistical Methods for Counting Processes, 2+1, 4.5 ECTS, MD E1 Dr. Jakubzik Mon. 10:00 to 12:00 CDI/ZHB - 120
• Bootstrap Methods, 4+2, 9 ETS, MD E1 Jentsch Tu. 14:00 to 16:00 CDI/ZHB - 120 Wd. 12:00 to 14:00 CDI/ZHB - 120
• Advanced Bayesian Data Analysis, 2+1, 4.5 ECTS, MD E1 Prof. Klein Fri. 08:00 to 12:00 Mathematics - E 27
• Industrial Data Science 2, 4.5 ECTS, MD E2 Prof. Pauly Fri. 10:00 to 12:00 (Room TBA)
• Selected topics in high-dimensional time series models, 4.5 ECTS, MD E2 TBA Block course between mid-May and end of June, Time and auditorium TBA

Faculty of Computer Science

• Architecture and Implementation of Database Systems, 4+2, MD E1, 8 ECTS Prof. Teubner Mon. 08:15 to 10:00 Otto-Hahn-Str. 12 - E.003 Wd. 08:15 to 10:00 Otto-Hahn-Str. 12 - E.003
• Machine Learning Paradigms for Complex Data, 4+2, MD E1, 8 ECTS Prof. E. Müller Tu. 12:15 to 14:00 woch Mathematik - E 29 Th. 14:15 to 16:00 woch Hörsaalgebäude II - HS 7
• Real-Time Systems and Applications, 4+2, MD E1, 8 ECTS Prof. Chen Th. 12:15 to 14:00 Otto-Hahn-Str. 12 - E.003 Fr. 10:15 to 12:00 Otto-Hahn-Str. 12 - E.003
• Verification of Neural Networks, 2+2, 6 ECTS, MD E1 Prof. Neider Tu. 12:15 to 14:00 Otto-Hahn-Str. 12 - 1.055
• Deep Learning, 2+2, 6 ECTS, MD E1 Prof Harmeling Wd. 14:15 to 16:00 Seminar room building 1 - 1.001
• Refinforcement Learning, 2+2, 6 ECTS, MD E1 Prof. Harmeling Mon. 12:15 to 14:00 Otto-Hahn-Str. 12 - 1.056

Faculty of Mathematics

• Introduction to Computational Fluid Dynamics (CFD), 2+1, 4 ECTS, MD E1 Prof. Turek Tu, 10:00 to 12:00 woch Mathematik - 1011

Courses of other faculties / universities

Machine Learning in Robotics, MD E2, Hoffmann Registration procedure already completed

Introduction to Artificial Intelligence, MD E1, 2+1, 3 ECTS, Prof. Cheng Registration procedure already completed

Computer Neurology, MD E2, 2+1, 4.5 ECTS , Dr. Kobeleva Registration procedure already completed

Game Theory, MD E2, 4, 7.5 ECTS, Prof. Buchheim Mon, 8:30-12, M127Event from the Faculty of Business and Economics

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