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.

Department of Statistics

• Advanced Statistical Learning Groll MD 1

Di.     16:00 bis 18:00     woch         Emil-Figge-Straße 50 - HS 3                                 
Do.     16:00 bis 18:00     Einzel     am 26.06.2025     Chemie - HS 1

• Industrial Data Science 2 Pauly MD E2

Fr.     10:00 bis 12:00          

• Simulation-based Inference, Bürkner, MD E1

Di.     14:00 bis 16:00     Mathematik - E 25                                 
Do.     10:00 bis 12:00     Mathematik - E 25    

• Causality, Marx, 4.5 ECTS, MD E1

Do.     14:00 bis 16:00     CDI/ZHB - 120     

• Generalized Linear Models Groll MD E1

Di.     10:00 bis 12:00     Mathematik - E 21                                 
Mi.     12:00 bis 14:00     CT Zentralbereich - HS ZE 01    

• Econometrics Arsova MD E2

Di.     10:00 bis 12:00     Maschinenbau I - Hauptgebäude - HS 1                                 
Do.     10:00 bis 12:00     Mathematik - E 28

• Time Series Analysis, Demetrescu, MD E1,

Di.     16:00 bis 18:00     Hörsaalgebäude I - HS 4                                 
Mi.     08:00 bis 10:00     Emil-Figge-Straße 50 - HS 3    

• Sparse Modelling of High-Dimensional Biomedical Data, Staerk, MD E2

Di.     12:00 bis 14:00     Mathematik - E 27        

• Modern Methods in Survey Sampling, Münnich, MD E2

digital

• High-Dimensional Time Series Analysis, MD E2

Mo.     14:00 bis 16:00     12.05.2025 bis 30.06.2025      CDI/ZHB - 120                                 
Di.     14:00 bis 16:00     13.05.2025 bis 24.06.2025      CDI/ZHB - 120                                 
Do.     16:00 bis 18:00     15.05.2025 bis 26.06.2025      CDI/ZHB - 120         

• Statistics in Toxicology I (Modelling) Rahnenführer MD E2

Di.     08:00 bis 10:00     Mathematik - E 28    

• Decision Trees and their Optimization Weihs MD E1

Mi.     10:15 bis 11:45     CDI/ZHB - 120

• Panel Data Analysis II Demetrescu MD E1

Do.     10:00 bis 12:00     CDI/ZHB - 120    

• Hidden Markov and State Space Models Michels MD E1

Mi.     14:00 bis 16:00     woch         CDI/ZHB - 120     

Department of Computer Science

• Computer Vision, Fink, MD E2

Di.     14:15 bis 16:00     Otto-Hahn-Str. 14 - E23    

• Deep Learning, Harmeling, MD E1

Mi.     10:15 bis 12:00     Seminarraumgebäude 1 - 1.001

• Reinforcement Learning, Harmeling, MD E1

Mo.     12:15 bis 14:00     Seminarraumgebäude 1 - 3.008    

• Verification of Neural Networks, Neider, MD E1

Di.     12:15 bis 14:00     Otto-Hahn-Str. 12 - 1.055    

• Real-Time Systems and Applications, Chen, MD E1

Do.     12:15 bis 14:00     Otto-Hahn-Str. 12 - E.003                                 
Fr.     10:15 bis 12:00     Otto-Hahn-Str. 12 - E.003     

Department of Mathematics

• Numerical Solution of Differential Equations, Turek, MD E1

Mo.     10:00 bis 12:00     woch         Mathematik - E 29    

• Optimization, Buchheim, MD E1

Fr.     14:00 bis 16:00     woch         CT Zentralbereich - HS ZE 01    

• Introduction to Computational Fluid Dynamics (CFD), Kuzmin, MD E1

Di.     10:00 bis 12:00     Mathematik - 1011                     VL+Ü until mid of June           
Do.     10:00 bis 12:00     Mathematik - 1011                     VL+Ü until mod of June       

Other Department

Machine Learning in Robotics, MD E2, Hoffmann
Registration Closed

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

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.

Department of Statistics

• Statistical Theory 4 + 2, 9 ECTS, MD 2
  Demetrescu/Jentsch
  Tu. 10:00 to 12:00 Mathematik - E 28
  We. 10:00 to 12:00 Emil-Figge-Straße 50 - HS 3
• Statistical Learning for Big Data 4 + 2, 9 ECTS, MD 5
  Bürkner
  Tu., 16:00 bis 18:00, HG II HG 6
  Th., 14:00 bis 16:00, HG II HG 6
• Data Science in Context 2 + 1, 3 ECTS
  Bürkner
  Mo., 14:00 to 16:00, CDI 121
• Asymptotic Theory, 2 + 1, 4.5 ECTS, MD E1
  Second half of Semester (Ab 28. November)
  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
  Mo. 14:00 to 16:00 Mathematik - E 21
  We. 12:00 to 14:00 Mathematik - E 21
• Natural Language Processing 4 + 2, 9 ECTS, MD E1, E2
  Rieger
  Tue. 16:00 to 18:00 CT Zentralbereich - HS ZE 15
  We. 16:00 to 18:00 Chemie - HS 3
• Panel Data Analysis I 2 + 1, 4.5 ECTS, MD E2
  Demetrescu
  Tue. 14:00 to 16:00 CDI 120
• Econometric Forecasting 2 + 1, 4.5 ECTS, MD E2
  Demetrescu
  Tue. 16:00 to 18:00 CDI 120
• Unit root and cointegration analysis 4 + 2, 9 ECTS, MD E2
  Arsova
  Tue. 8:00 to 14:00 Mathematik - E 21
• Applied Bayesian Data Analysis 4 + 2, 9 ECTS, MD E1, 2
  Ickstadt/Bürkner
  Tue. 10:00 to 12:00 Mathematik - E 21
  We. 10:00 to 12:00 Mathematik - E 27
• Bioinformatics 4 + 2, 9 ECTS, MD E 2
  Rahnenführer
  Tue. 10:00 to 12:00 Mathematik - E 25
  Fr. 10:00 to 12:00 Mathematik - E 25
• Statistics in Toxicology II / Testing 2 + 1, 4.5 ECTS, MD E2
  Schorning
  Mo. 10:00 to 12:00 Chemie - HS 1
• Industrial Data Science I, 2 + 1, 3 ECTS, MD E2
  Pauly
  Fr. 08:15 to 09:45 Emil-Figge-Straße 50 - HS 1
• Advanced R  2 + 1, MD E 1
  Horn
  Th. 10:00 to 12:00 CT Zentralbereich - HS ZE 02

Deparment of Mathematics

• Numerical Methods for PDEs, 2 + 1, 5 ECTS, MD E1
  Fr. 14:00 to 16:00 Mathematik - E 29
• Programming Course: Data Science with Python, 2 + 1, 3 ECTS, MD 3
  Ibrahim
  We. 09:00 to 13:00 Mathematik - CIP

Department of Computer Science

• Cyber-Physical System Fundamentals 4 + 2, 8 ECTS, MD E1
  Chen
• Einführung in Computational Intelligence, 2 + 1, 3 ECTS, MD E1
  Rudolph
  We. 10:00 to 12:00, OH14, E23
• Data Science for Dynamical System, 2 + 1, 3 ECTS, MD E1
  Peitz
  Th. 12:00 bis 14:00, OH14, 104

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