Course Catalog

Study Program SoSe 2023

Mathematics, M.Sc.

Area of Specialization: Algebra

Modules: Specialization (A, B, and C with 9 CP each)

The modules Specialization A and Specialization B are compulsory modules (2 x 9 CP = 18 CP). The module Specialization C (9 CP) is a compulsory elective module. This semester you can choose from the following lectures:
Course numberTitle of eventLecturer
03-IMAT-APX (03-ME-602.99a)Approximation Algorithms (in English)

Kurs (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 Kurs
weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Kurs

Profil: SQ, KIKR.
Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC
weitere Studiengänge: M-M-Alg-Num, M-T
https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf

Prof. Dr. Nicole Megow
Dr. Felix Christian Hommelsheim
03-M-SP-15Analytic and Discrete Convex Geometry (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 1100 Lecture
weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 7200 Lecture
weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 7200 Exercise

Additional dates:
Fri. 23.06.23 08:00 - 10:00
Eugenia Saorin Gomez

Modules: Diversification (A, B, and C with 9 CP each)

The modules Diversification A and Diversification B are compulsory modules (2 x 9 CP = 18 CP). The module Diversification C (9 CP) is a compulsory elective module. This semester you can choose from the following lectures:
Course numberTitle of eventLecturer
03-IMAT-APX (03-ME-602.99a)Approximation Algorithms (in English)

Kurs (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 Kurs
weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Kurs

Profil: SQ, KIKR.
Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC
weitere Studiengänge: M-M-Alg-Num, M-T
https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf

Prof. Dr. Nicole Megow
Dr. Felix Christian Hommelsheim
03-M-SP-11Optimal Control in Function Spaces (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 2340 Exercise
weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture
weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 2340 Lecture
Prof. Dr. Andreas Rademacher
03-M-SP-12High-Performance Visualization (in English)
Interactive Exploration for Extreme Large-sized Scientific Data Analytics

Lecture (Teaching)
ECTS: 4,5 / 6

Dates:
weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 5500 Lecture and Exercise

Die Vorlesung beschäftigt sich mit den mathematischen Grundlagen der wissenschaftlichen Visualisierung und behandelt Methoden für das parallele Post-Processing großer wissenschaftlicher Datensätze. Anwendungsbeispiele werden anhand der Open-Source-Software ParaView erläutert.
Homepage zur Veranstaltung: https://www.uni-bremen.de/ag-high-performance-visualization

Prof. Dr. Andreas Gerndt
03-M-SP-13Ergodic Theory (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 4140 Lecture
weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 4140 Exercise
weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 4140 Lecture
Prof. Dr. Anke Dorothea Pohl
03-M-SP-14Scientific Programming and Advanced Numerical Methods - an Introduction with Case Studies (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 2340 Lecture
weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 2340 Exercise
weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 2340 Lecture

Additional dates:
Wed. 28.06.23 14:00 - 15:30 ZOOM
Alfred Schmidt
Prof. Dr. Stephan Frickenhaus
03-M-SP-16Mathematical Foundations of Machine Learning (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture
weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 2340 Exercise
Peter Maaß
Dr. Matthias Beckmann
03-M-SP-17Deep Learning for Inverse Problems (in English)

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise
weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 4140 Lecture

Die Veransaltungen 03-M-SP-17 "Deep Learning for Inverse Problems"und 03-M-SP-18 "Nonlinear Inverse Problems" bilden zwei einzeln belegbare Veranstaltungsblöcke im Themenbereich von inversen Problemen (Woche 1-7: Deep Learning for Inverse Problems; Woche 8-14: Nonlinear Inverse Problems), die hintereinander stattfinden. Sie können zusammen oder separat belegt belegt werden.

Tobias Kluth
Dr. rer. nat. Pascal Fernsel
03-M-SP-18Nonlinear Inverse Problems (in English)

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 8) Tue. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 8) Tue. 14:00 - 16:00 MZH 2340 Exercise
weekly (starts in week: 8) Thu. 10:00 - 12:00 MZH 4140 Lecture

Die Veransaltungen 03-M-SP-17 "Deep Learning for Inverse Problems"und 03-M-SP-18 "Nonlinear Inverse Problems" bilden zwei einzeln belegbare Veranstaltungsblöcke im Themenbereich von inversen Problemen (Woche 1-7: Deep Learning for Inverse Problems; Woche 8-14: Nonlinear Inverse Problems), die hintereinander stattfinden. Sie können zusammen oder separat belegt belegt werden.

Dr. rer. nat. Pascal Fernsel
Tobias Kluth
03-M-SP-19Mathematics of Quantum Computing (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 1470 MZH 1450 Lecture
weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 1110 Lecture
weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 1110 Exercise
Matthias Knauer
03-M-SP-20Digital Optimal Control and Optimal Feedback Control (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 Lecture (Room: NEOS Building)
weekly (starts in week: 1) Mon. 10:00 - 12:00 Exercise (Room: NEOS Building)
weekly (starts in week: 1) Tue. 08:00 - 10:00 Lecture (Room: NEOS Building)
Prof. Dr. Christof Büskens
03-M-SP-21Linear Regression Analysis with R (in English)

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 7200 Lecture
weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 7200 Lecture / Exercise

Additional dates:
Tue. 25.07.23 10:00 - 12:00
Maryam Movahedifar
03-M-SP-22Regression Models (Statistics II) (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 5500 Lecture
weekly (starts in week: 1) Thu. 08:00 - 10:00 SFG 1020 Lecture
weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 4140 Exercise

Additional dates:
Tue. 11.07.23 10:00 - 12:00
Prof. Dr. Werner Brannath
03-M-SP-23Sequential and Adaptive Designs (in English)

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 1) Wed. 12:00 - 14:00 Lecture
weekly (starts in week: 1) Wed. 14:00 - 16:00 Lecture and Exercise
Prof. Dr. Werner Brannath
03-M-SP-24Evolution Equations (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 2340 Exercise
weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 2340 Lecture


PD Dr. Hendrik Vogt

Module: Advanced Communications A (2 x 4,5 CP = 9 CP)

Compulsory module in the area of specialization in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:
Course numberTitle of eventLecturer
03-M-AC-10Homological Algebra (in English)
(Seminar/Proseminar)

Seminar (Teaching)
ECTS: 3 / 4,5 / 5 / 6

Dates:
weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 7200 Seminar
Prof. Dr. Dmitry Feichtner-Kozlov
03-M-AC-11Geometry (in English)

Seminar (Teaching)
ECTS: 3 / 4,5 / 5 / 6

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 7200 Seminar

Additional dates:
Tue. 11.04.23 10:00 - 12:00 MZH 7200
Mon. 14.08.23 08:00 - 16:00

Are you fascinated by geometric shapes and their properties?
Are you an Bachelor's or Masters's student in mathematics looking to deepen your understanding of polytopes?
Then this seminar is for you!

In this seminar, we will delve into the fascinating world of polytopes, which are geometric objects that generalize the idea of a convex polygon or a convex polyhedron.
Polytopes have a wide range of applications in various fields, such as computer graphics, physics, and optimization.

We will cover a variety of topics related to polytopes, including:
  • Basics of polytopes: We will begin by discussing the basic properties of polytopes. We will also explore the different types of polytopes, including simplices, cubes, and cross-polytopes.
  • Combinatorial properties: We will delve into the combinatorial properties of polytopes, including the Euler characteristic, face numbers, and the Dehn-Sommerville equations.
  • Algebraic properties: We will examine the algebraic properties of polytopes, including their symmetry groups and the representation of polytopes by linear inequalities.
- Applications: We will explore the different applications of polytopes in other areas of mathematics and science, such as linear programming, coding theory, and computer graphics.
  • Computational methods: We will learn about computational methods for dealing with polytopes, including convex hull algorithms, triangulation algorithms and algorithms for counting the number of faces of a polytope.

Throughout the seminar, we will use examples and case studies to illustrate the concepts and theories discussed.
The seminar will also touch on the recent developments in the study of polytopes, including new results and open problems.

But this seminar is not just about listening and taking notes, we want you to actively participate in the class.
Each student is expected to give a talk on a specific topic related to polytopes, allowing you to not only deepen your own understanding but also share your knowledge with your peers.
This seminar is also a great opportunity for students to connect with other students with similar interests and to learn from each other.

Join us on a journey of discovery and exploration as we uncover the hidden beauty and complexity of polytopes.

Sign up now and be ready to be amazed!

Dr. Tim Haga

Module: Advanced Communications B (2 x 4,5 CP = 9 CP)

Compulsory module in the area of diversification and in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:
Course numberTitle of eventLecturer
03-M-AC-6Mathematical Foundations of AI (in English)

Seminar (Teaching)
ECTS: 4,5 / 6
Sören Dittmer
Peter Maaß
03-M-AC-12Multiple Testing Procedures (in English)

Seminar (Teaching)
ECTS: 4,5 / 6

Dates:
weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 7200 Seminar

In real data analysis, researchers are often interested in using the same data set to make inference on multiple hypotheses. For instance, they may want to identify brain regions that are activated by a stimulus in brain imaging data, or biological pathways that are differentially expressed in genomics data. However, testing multiple hypotheses simultaneously is a non-trivial extension of the individual case.

Indeed, any hypothesis test carries the risk of making a type I error, i.e., falsely rejecting a true hypothesis; this leads to a ‘false discovery’ and so a potentially misleading scientific result. Standard methods for testing an individual hypothesis allow to bound the probability of making such an error by an ‘acceptable’ risk, usually set at 0.05. When performing multiple tests, however, each one has a probability of producing a type I error. As a result, the risk of having at least one error among the findings may become unmanageable.

In this seminar we will introduce the problem of multiple testing and explore different techniques that have been proposed to control the flood of type I errors that arise in this context. We will see that different procedures aim at controlling different generalizations of the type I error. First, we will focus on procedures that control either the familywise error rate (FWER) or the false discovery rate (FDR), a class that includes many of the most popular multiple testing methods. Subsequently, we will introduce recent proposals that estimate the false discovery proportion (FDP) or provide confidence intervals for it.

The seminar is held in English.

Anna Vesely
03-M-AC-13Advanced Topics in Inverse Problems (in English)

Seminar (Teaching)
ECTS: 4,5 / 6

Dates:
weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 2340 Seminar
Tobias Kluth
03-M-RC-ANAReading Course Analysis (in English)

Seminar (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 7200

Additional dates:
Wed. 31.05.23 12:00 - 14:00 MZH 5600
Fri. 16.06.23 10:00 - 12:00 MZH 3150
Fri. 16.06.23 14:00 - 16:00 MZH 3150
Fri. 23.06.23 10:00 - 12:00 MZH 3150
Fri. 23.06.23 14:00 - 16:00 MZH 3150
Mon. 03.07.23 10:00 - 12:00 MZH 3150
Fri. 07.07.23 14:00 - 16:00 MZH 3150
Prof. Dr. Anke Dorothea Pohl

Module: Reading Course A (9 CP)

Compulsory module in the area of specialization and with the following course:
Course numberTitle of eventLecturer
03-M-RC-ALGReading Course Algebra (in English)

Seminar (Teaching)
ECTS: 9
Prof. Dr. Dmitry Feichtner-Kozlov

Module: Reading Course B (9 CP)

Compulsory module either in the area of specialization or area of diversification and with the following courses:
Course numberTitle of eventLecturer
03-M-RC-ALGReading Course Algebra (in English)

Seminar (Teaching)
ECTS: 9
Prof. Dr. Dmitry Feichtner-Kozlov
03-M-RC-ANAReading Course Analysis (in English)

Seminar (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 7200

Additional dates:
Wed. 31.05.23 12:00 - 14:00 MZH 5600
Fri. 16.06.23 10:00 - 12:00 MZH 3150
Fri. 16.06.23 14:00 - 16:00 MZH 3150
Fri. 23.06.23 10:00 - 12:00 MZH 3150
Fri. 23.06.23 14:00 - 16:00 MZH 3150
Mon. 03.07.23 10:00 - 12:00 MZH 3150
Fri. 07.07.23 14:00 - 16:00 MZH 3150
Prof. Dr. Anke Dorothea Pohl
03-M-RC-NUMReading Course Numerical Analysis (in English)

Seminar (Teaching)
ECTS: 9


Prof. Dr. Christof Büskens
03-M-RC-STSReading Course Statistics/Stochastics (in English)

Seminar (Teaching)
ECTS: 9
Prof. Dr. Werner Brannath
Prof. Dr. Thorsten-Ingo Dickhaus

Area of Specialization: Analysis

Modules: Specialization (A, B, and C with 9 CP each)

The modules Specialization A and Specialization B are compulsory modules (2 x 9 CP = 18 CP). The module Specialization C (9 CP) is a compulsory elective module. This semester you can choose from the following lectures:
Course numberTitle of eventLecturer
03-M-SP-11Optimal Control in Function Spaces (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 2340 Exercise
weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture
weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 2340 Lecture
Prof. Dr. Andreas Rademacher
03-M-SP-13Ergodic Theory (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 4140 Lecture
weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 4140 Exercise
weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 4140 Lecture
Prof. Dr. Anke Dorothea Pohl
03-M-SP-16Mathematical Foundations of Machine Learning (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture
weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 2340 Exercise
Peter Maaß
Dr. Matthias Beckmann
03-M-SP-24Evolution Equations (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 2340 Exercise
weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 2340 Lecture


PD Dr. Hendrik Vogt

Modules: Diversification (A, B, and C with 9 CP each)

The modules Diversification A and Diversification B are compulsory modules (2 x 9 CP = 18 CP). The module Diversification C (9 CP) is a compulsory elective module. This semester you can choose from the following lectures:
Course numberTitle of eventLecturer
03-IMAT-APX (03-ME-602.99a)Approximation Algorithms (in English)

Kurs (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 Kurs
weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Kurs

Profil: SQ, KIKR.
Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC
weitere Studiengänge: M-M-Alg-Num, M-T
https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf

Prof. Dr. Nicole Megow
Dr. Felix Christian Hommelsheim
03-M-SP-11Optimal Control in Function Spaces (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 2340 Exercise
weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture
weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 2340 Lecture
Prof. Dr. Andreas Rademacher
03-M-SP-12High-Performance Visualization (in English)
Interactive Exploration for Extreme Large-sized Scientific Data Analytics

Lecture (Teaching)
ECTS: 4,5 / 6

Dates:
weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 5500 Lecture and Exercise

Die Vorlesung beschäftigt sich mit den mathematischen Grundlagen der wissenschaftlichen Visualisierung und behandelt Methoden für das parallele Post-Processing großer wissenschaftlicher Datensätze. Anwendungsbeispiele werden anhand der Open-Source-Software ParaView erläutert.
Homepage zur Veranstaltung: https://www.uni-bremen.de/ag-high-performance-visualization

Prof. Dr. Andreas Gerndt
03-M-SP-14Scientific Programming and Advanced Numerical Methods - an Introduction with Case Studies (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 2340 Lecture
weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 2340 Exercise
weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 2340 Lecture

Additional dates:
Wed. 28.06.23 14:00 - 15:30 ZOOM
Alfred Schmidt
Prof. Dr. Stephan Frickenhaus
03-M-SP-15Analytic and Discrete Convex Geometry (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 1100 Lecture
weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 7200 Lecture
weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 7200 Exercise

Additional dates:
Fri. 23.06.23 08:00 - 10:00
Eugenia Saorin Gomez
03-M-SP-16Mathematical Foundations of Machine Learning (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture
weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 2340 Exercise
Peter Maaß
Dr. Matthias Beckmann
03-M-SP-17Deep Learning for Inverse Problems (in English)

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise
weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 4140 Lecture

Die Veransaltungen 03-M-SP-17 "Deep Learning for Inverse Problems"und 03-M-SP-18 "Nonlinear Inverse Problems" bilden zwei einzeln belegbare Veranstaltungsblöcke im Themenbereich von inversen Problemen (Woche 1-7: Deep Learning for Inverse Problems; Woche 8-14: Nonlinear Inverse Problems), die hintereinander stattfinden. Sie können zusammen oder separat belegt belegt werden.

Tobias Kluth
Dr. rer. nat. Pascal Fernsel
03-M-SP-18Nonlinear Inverse Problems (in English)

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 8) Tue. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 8) Tue. 14:00 - 16:00 MZH 2340 Exercise
weekly (starts in week: 8) Thu. 10:00 - 12:00 MZH 4140 Lecture

Die Veransaltungen 03-M-SP-17 "Deep Learning for Inverse Problems"und 03-M-SP-18 "Nonlinear Inverse Problems" bilden zwei einzeln belegbare Veranstaltungsblöcke im Themenbereich von inversen Problemen (Woche 1-7: Deep Learning for Inverse Problems; Woche 8-14: Nonlinear Inverse Problems), die hintereinander stattfinden. Sie können zusammen oder separat belegt belegt werden.

Dr. rer. nat. Pascal Fernsel
Tobias Kluth
03-M-SP-19Mathematics of Quantum Computing (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 1470 MZH 1450 Lecture
weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 1110 Lecture
weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 1110 Exercise
Matthias Knauer
03-M-SP-20Digital Optimal Control and Optimal Feedback Control (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 Lecture (Room: NEOS Building)
weekly (starts in week: 1) Mon. 10:00 - 12:00 Exercise (Room: NEOS Building)
weekly (starts in week: 1) Tue. 08:00 - 10:00 Lecture (Room: NEOS Building)
Prof. Dr. Christof Büskens
03-M-SP-21Linear Regression Analysis with R (in English)

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 7200 Lecture
weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 7200 Lecture / Exercise

Additional dates:
Tue. 25.07.23 10:00 - 12:00
Maryam Movahedifar
03-M-SP-22Regression Models (Statistics II) (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 5500 Lecture
weekly (starts in week: 1) Thu. 08:00 - 10:00 SFG 1020 Lecture
weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 4140 Exercise

Additional dates:
Tue. 11.07.23 10:00 - 12:00
Prof. Dr. Werner Brannath
03-M-SP-23Sequential and Adaptive Designs (in English)

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 1) Wed. 12:00 - 14:00 Lecture
weekly (starts in week: 1) Wed. 14:00 - 16:00 Lecture and Exercise
Prof. Dr. Werner Brannath

Module: Advanced Communications A (2 x 4,5 CP = 9 CP)

Compulsory module in the area of specialization and in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:
Course numberTitle of eventLecturer
03-M-RC-ANAReading Course Analysis (in English)

Seminar (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 7200

Additional dates:
Wed. 31.05.23 12:00 - 14:00 MZH 5600
Fri. 16.06.23 10:00 - 12:00 MZH 3150
Fri. 16.06.23 14:00 - 16:00 MZH 3150
Fri. 23.06.23 10:00 - 12:00 MZH 3150
Fri. 23.06.23 14:00 - 16:00 MZH 3150
Mon. 03.07.23 10:00 - 12:00 MZH 3150
Fri. 07.07.23 14:00 - 16:00 MZH 3150
Prof. Dr. Anke Dorothea Pohl

Module: Advanced Communications B (2 x 4,5 CP = 9 CP)

Compulsory module in the area of diversification and in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:
Course numberTitle of eventLecturer
03-M-AC-6Mathematical Foundations of AI (in English)

Seminar (Teaching)
ECTS: 4,5 / 6
Sören Dittmer
Peter Maaß
03-M-AC-11Geometry (in English)

Seminar (Teaching)
ECTS: 3 / 4,5 / 5 / 6

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 7200 Seminar

Additional dates:
Tue. 11.04.23 10:00 - 12:00 MZH 7200
Mon. 14.08.23 08:00 - 16:00

Are you fascinated by geometric shapes and their properties?
Are you an Bachelor's or Masters's student in mathematics looking to deepen your understanding of polytopes?
Then this seminar is for you!

In this seminar, we will delve into the fascinating world of polytopes, which are geometric objects that generalize the idea of a convex polygon or a convex polyhedron.
Polytopes have a wide range of applications in various fields, such as computer graphics, physics, and optimization.

We will cover a variety of topics related to polytopes, including:
  • Basics of polytopes: We will begin by discussing the basic properties of polytopes. We will also explore the different types of polytopes, including simplices, cubes, and cross-polytopes.
  • Combinatorial properties: We will delve into the combinatorial properties of polytopes, including the Euler characteristic, face numbers, and the Dehn-Sommerville equations.
  • Algebraic properties: We will examine the algebraic properties of polytopes, including their symmetry groups and the representation of polytopes by linear inequalities.
- Applications: We will explore the different applications of polytopes in other areas of mathematics and science, such as linear programming, coding theory, and computer graphics.
  • Computational methods: We will learn about computational methods for dealing with polytopes, including convex hull algorithms, triangulation algorithms and algorithms for counting the number of faces of a polytope.

Throughout the seminar, we will use examples and case studies to illustrate the concepts and theories discussed.
The seminar will also touch on the recent developments in the study of polytopes, including new results and open problems.

But this seminar is not just about listening and taking notes, we want you to actively participate in the class.
Each student is expected to give a talk on a specific topic related to polytopes, allowing you to not only deepen your own understanding but also share your knowledge with your peers.
This seminar is also a great opportunity for students to connect with other students with similar interests and to learn from each other.

Join us on a journey of discovery and exploration as we uncover the hidden beauty and complexity of polytopes.

Sign up now and be ready to be amazed!

Dr. Tim Haga
03-M-AC-12Multiple Testing Procedures (in English)

Seminar (Teaching)
ECTS: 4,5 / 6

Dates:
weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 7200 Seminar

In real data analysis, researchers are often interested in using the same data set to make inference on multiple hypotheses. For instance, they may want to identify brain regions that are activated by a stimulus in brain imaging data, or biological pathways that are differentially expressed in genomics data. However, testing multiple hypotheses simultaneously is a non-trivial extension of the individual case.

Indeed, any hypothesis test carries the risk of making a type I error, i.e., falsely rejecting a true hypothesis; this leads to a ‘false discovery’ and so a potentially misleading scientific result. Standard methods for testing an individual hypothesis allow to bound the probability of making such an error by an ‘acceptable’ risk, usually set at 0.05. When performing multiple tests, however, each one has a probability of producing a type I error. As a result, the risk of having at least one error among the findings may become unmanageable.

In this seminar we will introduce the problem of multiple testing and explore different techniques that have been proposed to control the flood of type I errors that arise in this context. We will see that different procedures aim at controlling different generalizations of the type I error. First, we will focus on procedures that control either the familywise error rate (FWER) or the false discovery rate (FDR), a class that includes many of the most popular multiple testing methods. Subsequently, we will introduce recent proposals that estimate the false discovery proportion (FDP) or provide confidence intervals for it.

The seminar is held in English.

Anna Vesely
03-M-AC-13Advanced Topics in Inverse Problems (in English)

Seminar (Teaching)
ECTS: 4,5 / 6

Dates:
weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 2340 Seminar
Tobias Kluth

Module: Reading Course A (9 CP)

Compulsory module in the area of specialization and with the following course:
Course numberTitle of eventLecturer
03-M-RC-ANAReading Course Analysis (in English)

Seminar (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 7200

Additional dates:
Wed. 31.05.23 12:00 - 14:00 MZH 5600
Fri. 16.06.23 10:00 - 12:00 MZH 3150
Fri. 16.06.23 14:00 - 16:00 MZH 3150
Fri. 23.06.23 10:00 - 12:00 MZH 3150
Fri. 23.06.23 14:00 - 16:00 MZH 3150
Mon. 03.07.23 10:00 - 12:00 MZH 3150
Fri. 07.07.23 14:00 - 16:00 MZH 3150
Prof. Dr. Anke Dorothea Pohl

Module: Reading Course B (9 CP)

Compulsory module either in the area of specialization or area of diversification and with the following courses:
Course numberTitle of eventLecturer
03-M-RC-ALGReading Course Algebra (in English)

Seminar (Teaching)
ECTS: 9
Prof. Dr. Dmitry Feichtner-Kozlov
03-M-RC-ANAReading Course Analysis (in English)

Seminar (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 7200

Additional dates:
Wed. 31.05.23 12:00 - 14:00 MZH 5600
Fri. 16.06.23 10:00 - 12:00 MZH 3150
Fri. 16.06.23 14:00 - 16:00 MZH 3150
Fri. 23.06.23 10:00 - 12:00 MZH 3150
Fri. 23.06.23 14:00 - 16:00 MZH 3150
Mon. 03.07.23 10:00 - 12:00 MZH 3150
Fri. 07.07.23 14:00 - 16:00 MZH 3150
Prof. Dr. Anke Dorothea Pohl
03-M-RC-NUMReading Course Numerical Analysis (in English)

Seminar (Teaching)
ECTS: 9


Prof. Dr. Christof Büskens
03-M-RC-STSReading Course Statistics/Stochastics (in English)

Seminar (Teaching)
ECTS: 9
Prof. Dr. Werner Brannath
Prof. Dr. Thorsten-Ingo Dickhaus

Area of Specialization: Numerical Analysis

Modules: Specialization (A, B, and C with 9 CP each)

The modules Specialization A and Specialization B are compulsory modules (2 x 9 CP = 18 CP). The module Specialization C (9 CP) is a compulsory elective module. This semester you can choose from the following lectures:
Course numberTitle of eventLecturer
03-IMAT-APX (03-ME-602.99a)Approximation Algorithms (in English)

Kurs (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 Kurs
weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Kurs

Profil: SQ, KIKR.
Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC
weitere Studiengänge: M-M-Alg-Num, M-T
https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf

Prof. Dr. Nicole Megow
Dr. Felix Christian Hommelsheim
03-M-SP-11Optimal Control in Function Spaces (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 2340 Exercise
weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture
weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 2340 Lecture
Prof. Dr. Andreas Rademacher
03-M-SP-12High-Performance Visualization (in English)
Interactive Exploration for Extreme Large-sized Scientific Data Analytics

Lecture (Teaching)
ECTS: 4,5 / 6

Dates:
weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 5500 Lecture and Exercise

Die Vorlesung beschäftigt sich mit den mathematischen Grundlagen der wissenschaftlichen Visualisierung und behandelt Methoden für das parallele Post-Processing großer wissenschaftlicher Datensätze. Anwendungsbeispiele werden anhand der Open-Source-Software ParaView erläutert.
Homepage zur Veranstaltung: https://www.uni-bremen.de/ag-high-performance-visualization

Prof. Dr. Andreas Gerndt
03-M-SP-14Scientific Programming and Advanced Numerical Methods - an Introduction with Case Studies (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 2340 Lecture
weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 2340 Exercise
weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 2340 Lecture

Additional dates:
Wed. 28.06.23 14:00 - 15:30 ZOOM
Alfred Schmidt
Prof. Dr. Stephan Frickenhaus
03-M-SP-16Mathematical Foundations of Machine Learning (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture
weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 2340 Exercise
Peter Maaß
Dr. Matthias Beckmann
03-M-SP-17Deep Learning for Inverse Problems (in English)

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise
weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 4140 Lecture

Die Veransaltungen 03-M-SP-17 "Deep Learning for Inverse Problems"und 03-M-SP-18 "Nonlinear Inverse Problems" bilden zwei einzeln belegbare Veranstaltungsblöcke im Themenbereich von inversen Problemen (Woche 1-7: Deep Learning for Inverse Problems; Woche 8-14: Nonlinear Inverse Problems), die hintereinander stattfinden. Sie können zusammen oder separat belegt belegt werden.

Tobias Kluth
Dr. rer. nat. Pascal Fernsel
03-M-SP-18Nonlinear Inverse Problems (in English)

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 8) Tue. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 8) Tue. 14:00 - 16:00 MZH 2340 Exercise
weekly (starts in week: 8) Thu. 10:00 - 12:00 MZH 4140 Lecture

Die Veransaltungen 03-M-SP-17 "Deep Learning for Inverse Problems"und 03-M-SP-18 "Nonlinear Inverse Problems" bilden zwei einzeln belegbare Veranstaltungsblöcke im Themenbereich von inversen Problemen (Woche 1-7: Deep Learning for Inverse Problems; Woche 8-14: Nonlinear Inverse Problems), die hintereinander stattfinden. Sie können zusammen oder separat belegt belegt werden.

Dr. rer. nat. Pascal Fernsel
Tobias Kluth
03-M-SP-19Mathematics of Quantum Computing (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 1470 MZH 1450 Lecture
weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 1110 Lecture
weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 1110 Exercise
Matthias Knauer
03-M-SP-20Digital Optimal Control and Optimal Feedback Control (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 Lecture (Room: NEOS Building)
weekly (starts in week: 1) Mon. 10:00 - 12:00 Exercise (Room: NEOS Building)
weekly (starts in week: 1) Tue. 08:00 - 10:00 Lecture (Room: NEOS Building)
Prof. Dr. Christof Büskens

Modules: Diversification (A, B, and C with 9 CP each)

The modules Diversification A and Diversification B are compulsory modules (2 x 9 CP = 18 CP). The module Diversification C (9 CP) is a compulsory elective module. This semester you can choose from the following lectures:
Course numberTitle of eventLecturer
03-IMAT-APX (03-ME-602.99a)Approximation Algorithms (in English)

Kurs (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 Kurs
weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Kurs

Profil: SQ, KIKR.
Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC
weitere Studiengänge: M-M-Alg-Num, M-T
https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf

Prof. Dr. Nicole Megow
Dr. Felix Christian Hommelsheim
03-M-SP-11Optimal Control in Function Spaces (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 2340 Exercise
weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture
weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 2340 Lecture
Prof. Dr. Andreas Rademacher
03-M-SP-13Ergodic Theory (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 4140 Lecture
weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 4140 Exercise
weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 4140 Lecture
Prof. Dr. Anke Dorothea Pohl
03-M-SP-15Analytic and Discrete Convex Geometry (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 1100 Lecture
weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 7200 Lecture
weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 7200 Exercise

Additional dates:
Fri. 23.06.23 08:00 - 10:00
Eugenia Saorin Gomez
03-M-SP-16Mathematical Foundations of Machine Learning (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture
weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 2340 Exercise
Peter Maaß
Dr. Matthias Beckmann
03-M-SP-21Linear Regression Analysis with R (in English)

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 7200 Lecture
weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 7200 Lecture / Exercise

Additional dates:
Tue. 25.07.23 10:00 - 12:00
Maryam Movahedifar
03-M-SP-22Regression Models (Statistics II) (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 5500 Lecture
weekly (starts in week: 1) Thu. 08:00 - 10:00 SFG 1020 Lecture
weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 4140 Exercise

Additional dates:
Tue. 11.07.23 10:00 - 12:00
Prof. Dr. Werner Brannath
03-M-SP-23Sequential and Adaptive Designs (in English)

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 1) Wed. 12:00 - 14:00 Lecture
weekly (starts in week: 1) Wed. 14:00 - 16:00 Lecture and Exercise
Prof. Dr. Werner Brannath
03-M-SP-24Evolution Equations (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 2340 Exercise
weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 2340 Lecture


PD Dr. Hendrik Vogt

Module: Advanced Communications A (2 x 4,5 CP = 9 CP)

Compulsory module in the area of specialization and in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:
Course numberTitle of eventLecturer
03-M-AC-6Mathematical Foundations of AI (in English)

Seminar (Teaching)
ECTS: 4,5 / 6
Sören Dittmer
Peter Maaß
03-M-AC-13Advanced Topics in Inverse Problems (in English)

Seminar (Teaching)
ECTS: 4,5 / 6

Dates:
weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 2340 Seminar
Tobias Kluth

Module: Advanced Communications B (2 x 4,5 CP = 9 CP)

Compulsory module in the area of diversification and in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:
Course numberTitle of eventLecturer
03-M-AC-11Geometry (in English)

Seminar (Teaching)
ECTS: 3 / 4,5 / 5 / 6

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 7200 Seminar

Additional dates:
Tue. 11.04.23 10:00 - 12:00 MZH 7200
Mon. 14.08.23 08:00 - 16:00

Are you fascinated by geometric shapes and their properties?
Are you an Bachelor's or Masters's student in mathematics looking to deepen your understanding of polytopes?
Then this seminar is for you!

In this seminar, we will delve into the fascinating world of polytopes, which are geometric objects that generalize the idea of a convex polygon or a convex polyhedron.
Polytopes have a wide range of applications in various fields, such as computer graphics, physics, and optimization.

We will cover a variety of topics related to polytopes, including:
  • Basics of polytopes: We will begin by discussing the basic properties of polytopes. We will also explore the different types of polytopes, including simplices, cubes, and cross-polytopes.
  • Combinatorial properties: We will delve into the combinatorial properties of polytopes, including the Euler characteristic, face numbers, and the Dehn-Sommerville equations.
  • Algebraic properties: We will examine the algebraic properties of polytopes, including their symmetry groups and the representation of polytopes by linear inequalities.
- Applications: We will explore the different applications of polytopes in other areas of mathematics and science, such as linear programming, coding theory, and computer graphics.
  • Computational methods: We will learn about computational methods for dealing with polytopes, including convex hull algorithms, triangulation algorithms and algorithms for counting the number of faces of a polytope.

Throughout the seminar, we will use examples and case studies to illustrate the concepts and theories discussed.
The seminar will also touch on the recent developments in the study of polytopes, including new results and open problems.

But this seminar is not just about listening and taking notes, we want you to actively participate in the class.
Each student is expected to give a talk on a specific topic related to polytopes, allowing you to not only deepen your own understanding but also share your knowledge with your peers.
This seminar is also a great opportunity for students to connect with other students with similar interests and to learn from each other.

Join us on a journey of discovery and exploration as we uncover the hidden beauty and complexity of polytopes.

Sign up now and be ready to be amazed!

Dr. Tim Haga
03-M-AC-12Multiple Testing Procedures (in English)

Seminar (Teaching)
ECTS: 4,5 / 6

Dates:
weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 7200 Seminar

In real data analysis, researchers are often interested in using the same data set to make inference on multiple hypotheses. For instance, they may want to identify brain regions that are activated by a stimulus in brain imaging data, or biological pathways that are differentially expressed in genomics data. However, testing multiple hypotheses simultaneously is a non-trivial extension of the individual case.

Indeed, any hypothesis test carries the risk of making a type I error, i.e., falsely rejecting a true hypothesis; this leads to a ‘false discovery’ and so a potentially misleading scientific result. Standard methods for testing an individual hypothesis allow to bound the probability of making such an error by an ‘acceptable’ risk, usually set at 0.05. When performing multiple tests, however, each one has a probability of producing a type I error. As a result, the risk of having at least one error among the findings may become unmanageable.

In this seminar we will introduce the problem of multiple testing and explore different techniques that have been proposed to control the flood of type I errors that arise in this context. We will see that different procedures aim at controlling different generalizations of the type I error. First, we will focus on procedures that control either the familywise error rate (FWER) or the false discovery rate (FDR), a class that includes many of the most popular multiple testing methods. Subsequently, we will introduce recent proposals that estimate the false discovery proportion (FDP) or provide confidence intervals for it.

The seminar is held in English.

Anna Vesely
03-M-RC-ANAReading Course Analysis (in English)

Seminar (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 7200

Additional dates:
Wed. 31.05.23 12:00 - 14:00 MZH 5600
Fri. 16.06.23 10:00 - 12:00 MZH 3150
Fri. 16.06.23 14:00 - 16:00 MZH 3150
Fri. 23.06.23 10:00 - 12:00 MZH 3150
Fri. 23.06.23 14:00 - 16:00 MZH 3150
Mon. 03.07.23 10:00 - 12:00 MZH 3150
Fri. 07.07.23 14:00 - 16:00 MZH 3150
Prof. Dr. Anke Dorothea Pohl

Module: Reading Course A (9 CP)

Compulsory module in the area of specialization and with the following course:
Course numberTitle of eventLecturer
03-M-RC-NUMReading Course Numerical Analysis (in English)

Seminar (Teaching)
ECTS: 9


Prof. Dr. Christof Büskens

Module: Reading Course B (9 CP)

Compulsory module either in the area of specialization or area of diversification and with the following courses:
Course numberTitle of eventLecturer
03-M-RC-ALGReading Course Algebra (in English)

Seminar (Teaching)
ECTS: 9
Prof. Dr. Dmitry Feichtner-Kozlov
03-M-RC-ANAReading Course Analysis (in English)

Seminar (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 7200

Additional dates:
Wed. 31.05.23 12:00 - 14:00 MZH 5600
Fri. 16.06.23 10:00 - 12:00 MZH 3150
Fri. 16.06.23 14:00 - 16:00 MZH 3150
Fri. 23.06.23 10:00 - 12:00 MZH 3150
Fri. 23.06.23 14:00 - 16:00 MZH 3150
Mon. 03.07.23 10:00 - 12:00 MZH 3150
Fri. 07.07.23 14:00 - 16:00 MZH 3150
Prof. Dr. Anke Dorothea Pohl
03-M-RC-NUMReading Course Numerical Analysis (in English)

Seminar (Teaching)
ECTS: 9


Prof. Dr. Christof Büskens
03-M-RC-STSReading Course Statistics/Stochastics (in English)

Seminar (Teaching)
ECTS: 9
Prof. Dr. Werner Brannath
Prof. Dr. Thorsten-Ingo Dickhaus

Area of Specialization: Statistics/Stochastics

Modules: Specialization (A, B, and C with 9 CP each)

The modules Specialization A and Specialization B are compulsory modules (2 x 9 CP = 18 CP). The module Specialization C (9 CP) is a compulsory elective module. This semester you can choose from the following lectures:
Course numberTitle of eventLecturer
03-M-SP-21Linear Regression Analysis with R (in English)

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 7200 Lecture
weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 7200 Lecture / Exercise

Additional dates:
Tue. 25.07.23 10:00 - 12:00
Maryam Movahedifar
03-M-SP-22Regression Models (Statistics II) (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 5500 Lecture
weekly (starts in week: 1) Thu. 08:00 - 10:00 SFG 1020 Lecture
weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 4140 Exercise

Additional dates:
Tue. 11.07.23 10:00 - 12:00
Prof. Dr. Werner Brannath
03-M-SP-23Sequential and Adaptive Designs (in English)

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 1) Wed. 12:00 - 14:00 Lecture
weekly (starts in week: 1) Wed. 14:00 - 16:00 Lecture and Exercise
Prof. Dr. Werner Brannath

Modules: Diversification (A, B, and C with 9 CP each)

The modules Diversification A and Diversification B are compulsory modules (2 x 9 CP = 18 CP). The module Diversification C (9 CP) is a compulsory elective module. This semester you can choose from the following lectures:
Course numberTitle of eventLecturer
03-IMAT-APX (03-ME-602.99a)Approximation Algorithms (in English)

Kurs (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 Kurs
weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Kurs

Profil: SQ, KIKR.
Schwerpunkt: IMA-SQ, IMVT-AI, IMVT-VMC
weitere Studiengänge: M-M-Alg-Num, M-T
https://lvb.informatik.uni-bremen.de/imat/03-imat-apx.pdf

Prof. Dr. Nicole Megow
Dr. Felix Christian Hommelsheim
03-M-SP-11Optimal Control in Function Spaces (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 2340 Exercise
weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture
weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 2340 Lecture
Prof. Dr. Andreas Rademacher
03-M-SP-12High-Performance Visualization (in English)
Interactive Exploration for Extreme Large-sized Scientific Data Analytics

Lecture (Teaching)
ECTS: 4,5 / 6

Dates:
weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 5500 Lecture and Exercise

Die Vorlesung beschäftigt sich mit den mathematischen Grundlagen der wissenschaftlichen Visualisierung und behandelt Methoden für das parallele Post-Processing großer wissenschaftlicher Datensätze. Anwendungsbeispiele werden anhand der Open-Source-Software ParaView erläutert.
Homepage zur Veranstaltung: https://www.uni-bremen.de/ag-high-performance-visualization

Prof. Dr. Andreas Gerndt
03-M-SP-13Ergodic Theory (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 4140 Lecture
weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 4140 Exercise
weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 4140 Lecture
Prof. Dr. Anke Dorothea Pohl
03-M-SP-14Scientific Programming and Advanced Numerical Methods - an Introduction with Case Studies (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 2340 Lecture
weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 2340 Exercise
weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 2340 Lecture

Additional dates:
Wed. 28.06.23 14:00 - 15:30 ZOOM
Alfred Schmidt
Prof. Dr. Stephan Frickenhaus
03-M-SP-15Analytic and Discrete Convex Geometry (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 1100 Lecture
weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 7200 Lecture
weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 7200 Exercise

Additional dates:
Fri. 23.06.23 08:00 - 10:00
Eugenia Saorin Gomez
03-M-SP-16Mathematical Foundations of Machine Learning (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture
weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 2340 Exercise
Peter Maaß
Dr. Matthias Beckmann
03-M-SP-17Deep Learning for Inverse Problems (in English)

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise
weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 4140 Lecture

Die Veransaltungen 03-M-SP-17 "Deep Learning for Inverse Problems"und 03-M-SP-18 "Nonlinear Inverse Problems" bilden zwei einzeln belegbare Veranstaltungsblöcke im Themenbereich von inversen Problemen (Woche 1-7: Deep Learning for Inverse Problems; Woche 8-14: Nonlinear Inverse Problems), die hintereinander stattfinden. Sie können zusammen oder separat belegt belegt werden.

Tobias Kluth
Dr. rer. nat. Pascal Fernsel
03-M-SP-18Nonlinear Inverse Problems (in English)

Lecture (Teaching)
ECTS: 4,5

Dates:
weekly (starts in week: 8) Tue. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 8) Tue. 14:00 - 16:00 MZH 2340 Exercise
weekly (starts in week: 8) Thu. 10:00 - 12:00 MZH 4140 Lecture

Die Veransaltungen 03-M-SP-17 "Deep Learning for Inverse Problems"und 03-M-SP-18 "Nonlinear Inverse Problems" bilden zwei einzeln belegbare Veranstaltungsblöcke im Themenbereich von inversen Problemen (Woche 1-7: Deep Learning for Inverse Problems; Woche 8-14: Nonlinear Inverse Problems), die hintereinander stattfinden. Sie können zusammen oder separat belegt belegt werden.

Dr. rer. nat. Pascal Fernsel
Tobias Kluth
03-M-SP-19Mathematics of Quantum Computing (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 1470 MZH 1450 Lecture
weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 1110 Lecture
weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 1110 Exercise
Matthias Knauer
03-M-SP-20Digital Optimal Control and Optimal Feedback Control (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 Lecture (Room: NEOS Building)
weekly (starts in week: 1) Mon. 10:00 - 12:00 Exercise (Room: NEOS Building)
weekly (starts in week: 1) Tue. 08:00 - 10:00 Lecture (Room: NEOS Building)
Prof. Dr. Christof Büskens
03-M-SP-24Evolution Equations (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 2340 Exercise
weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 2340 Lecture


PD Dr. Hendrik Vogt

Module: Advanced Communications A (2 x 4,5 CP = 9 CP)

Compulsory module in the area of specialization and in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:
Course numberTitle of eventLecturer
03-M-AC-12Multiple Testing Procedures (in English)

Seminar (Teaching)
ECTS: 4,5 / 6

Dates:
weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 7200 Seminar

In real data analysis, researchers are often interested in using the same data set to make inference on multiple hypotheses. For instance, they may want to identify brain regions that are activated by a stimulus in brain imaging data, or biological pathways that are differentially expressed in genomics data. However, testing multiple hypotheses simultaneously is a non-trivial extension of the individual case.

Indeed, any hypothesis test carries the risk of making a type I error, i.e., falsely rejecting a true hypothesis; this leads to a ‘false discovery’ and so a potentially misleading scientific result. Standard methods for testing an individual hypothesis allow to bound the probability of making such an error by an ‘acceptable’ risk, usually set at 0.05. When performing multiple tests, however, each one has a probability of producing a type I error. As a result, the risk of having at least one error among the findings may become unmanageable.

In this seminar we will introduce the problem of multiple testing and explore different techniques that have been proposed to control the flood of type I errors that arise in this context. We will see that different procedures aim at controlling different generalizations of the type I error. First, we will focus on procedures that control either the familywise error rate (FWER) or the false discovery rate (FDR), a class that includes many of the most popular multiple testing methods. Subsequently, we will introduce recent proposals that estimate the false discovery proportion (FDP) or provide confidence intervals for it.

The seminar is held in English.

Anna Vesely

Module: Advanced Communications B (2 x 4,5 CP = 9 CP)

Compulsory module in the area of diversification and in which you must attend a total of two seminars with 4,5 CP each. This semester you can choose from the following seminars:
Course numberTitle of eventLecturer
03-M-AC-6Mathematical Foundations of AI (in English)

Seminar (Teaching)
ECTS: 4,5 / 6
Sören Dittmer
Peter Maaß
03-M-AC-11Geometry (in English)

Seminar (Teaching)
ECTS: 3 / 4,5 / 5 / 6

Dates:
weekly (starts in week: 1) Mon. 08:00 - 10:00 MZH 7200 Seminar

Additional dates:
Tue. 11.04.23 10:00 - 12:00 MZH 7200
Mon. 14.08.23 08:00 - 16:00

Are you fascinated by geometric shapes and their properties?
Are you an Bachelor's or Masters's student in mathematics looking to deepen your understanding of polytopes?
Then this seminar is for you!

In this seminar, we will delve into the fascinating world of polytopes, which are geometric objects that generalize the idea of a convex polygon or a convex polyhedron.
Polytopes have a wide range of applications in various fields, such as computer graphics, physics, and optimization.

We will cover a variety of topics related to polytopes, including:
  • Basics of polytopes: We will begin by discussing the basic properties of polytopes. We will also explore the different types of polytopes, including simplices, cubes, and cross-polytopes.
  • Combinatorial properties: We will delve into the combinatorial properties of polytopes, including the Euler characteristic, face numbers, and the Dehn-Sommerville equations.
  • Algebraic properties: We will examine the algebraic properties of polytopes, including their symmetry groups and the representation of polytopes by linear inequalities.
- Applications: We will explore the different applications of polytopes in other areas of mathematics and science, such as linear programming, coding theory, and computer graphics.
  • Computational methods: We will learn about computational methods for dealing with polytopes, including convex hull algorithms, triangulation algorithms and algorithms for counting the number of faces of a polytope.

Throughout the seminar, we will use examples and case studies to illustrate the concepts and theories discussed.
The seminar will also touch on the recent developments in the study of polytopes, including new results and open problems.

But this seminar is not just about listening and taking notes, we want you to actively participate in the class.
Each student is expected to give a talk on a specific topic related to polytopes, allowing you to not only deepen your own understanding but also share your knowledge with your peers.
This seminar is also a great opportunity for students to connect with other students with similar interests and to learn from each other.

Join us on a journey of discovery and exploration as we uncover the hidden beauty and complexity of polytopes.

Sign up now and be ready to be amazed!

Dr. Tim Haga
03-M-AC-13Advanced Topics in Inverse Problems (in English)

Seminar (Teaching)
ECTS: 4,5 / 6

Dates:
weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 2340 Seminar
Tobias Kluth
03-M-RC-ANAReading Course Analysis (in English)

Seminar (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 7200

Additional dates:
Wed. 31.05.23 12:00 - 14:00 MZH 5600
Fri. 16.06.23 10:00 - 12:00 MZH 3150
Fri. 16.06.23 14:00 - 16:00 MZH 3150
Fri. 23.06.23 10:00 - 12:00 MZH 3150
Fri. 23.06.23 14:00 - 16:00 MZH 3150
Mon. 03.07.23 10:00 - 12:00 MZH 3150
Fri. 07.07.23 14:00 - 16:00 MZH 3150
Prof. Dr. Anke Dorothea Pohl

Module: Reading Course A (9 CP)

Compulsory module in the area of specialization and with the following course:
Course numberTitle of eventLecturer
03-M-RC-STSReading Course Statistics/Stochastics (in English)

Seminar (Teaching)
ECTS: 9
Prof. Dr. Werner Brannath
Prof. Dr. Thorsten-Ingo Dickhaus

Module: Reading Course B (9 CP)

Compulsory module either in the area of specialization or area of diversification and with the following courses:
Course numberTitle of eventLecturer
03-M-RC-ALGReading Course Algebra (in English)

Seminar (Teaching)
ECTS: 9
Prof. Dr. Dmitry Feichtner-Kozlov
03-M-RC-ANAReading Course Analysis (in English)

Seminar (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 7200

Additional dates:
Wed. 31.05.23 12:00 - 14:00 MZH 5600
Fri. 16.06.23 10:00 - 12:00 MZH 3150
Fri. 16.06.23 14:00 - 16:00 MZH 3150
Fri. 23.06.23 10:00 - 12:00 MZH 3150
Fri. 23.06.23 14:00 - 16:00 MZH 3150
Mon. 03.07.23 10:00 - 12:00 MZH 3150
Fri. 07.07.23 14:00 - 16:00 MZH 3150
Prof. Dr. Anke Dorothea Pohl
03-M-RC-NUMReading Course Numerical Analysis (in English)

Seminar (Teaching)
ECTS: 9


Prof. Dr. Christof Büskens
03-M-RC-STSReading Course Statistics/Stochastics (in English)

Seminar (Teaching)
ECTS: 9
Prof. Dr. Werner Brannath
Prof. Dr. Thorsten-Ingo Dickhaus