Course Catalog

Study Program SoSe 2024

Mathematik, B.Sc./M.Sc. (Studienbeginn vor 2022)

Veranstaltungen vor dem 1. Semester

Course numberTitle of eventLecturer
03-M-BMPreparation Course Mathematics at the University Bremen

Blockveranstaltung (Teaching)

Der Kurs findet in der zweiten und dritten Märzwoche statt. Details werden noch bekanntgegeben.

Dr. Ingolf Schäfer

Bachelor: Pflichtveranstaltungen

Pflichtveranstaltungen für den Studiengang Mathematik B.Sc.
Course numberTitle of eventLecturer
03-M-ANA-2.1Analysis 2

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 SFG 0150 Vorlesung
weekly (starts in week: 1) Fri. 10:00 - 12:00 GW2 B1400 NUR Mi. - So. Vorlesung
weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 4140 Übung
PD Dr. Hendrik Vogt
03-M-ANA-2.2Additional Topics in Analysis 2

Projektplenum (Teaching)
ECTS: 1,5

Dates:
weekly (starts in week: 1) Tue. 12:00 - 14:00 SFG 0150 Plenum
PD Dr. Hendrik Vogt
03-M-LAG-2.1Linear Algebra 2

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1470 Vorlesung
weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 1470 Übung
weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 1470 Übung
weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 1470 Vorlesung
Eugenia Saorin Gomez
03-M-LAG-2.2Additional Topics in Linear Algebra 2

Projektplenum (Teaching)
ECTS: 1,5

Dates:
weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 5500 Plenum

Additional dates:
Thu. 06.06.24 08:00 - 10:00 MZH 4140
Thu. 27.06.24 08:00 - 10:00
Eugenia Saorin Gomez
03-M-STO-1Stochastics

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 14:00 - 16:00 GW2 B1410 Vorlesung
weekly (starts in week: 1) Tue. 16:00 - 18:00 MZH 1470 MZH 4140 Übung
weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 4140 Übung
weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 4140 Übung
weekly (starts in week: 1) Thu. 10:00 - 12:00 GW2 B1400 NUR Mi. - So. Vorlesung
weekly (starts in week: 1) Fri. 14:00 - 16:00 MZH 1470 Übung

Additional dates:
Fri. 25.10.24 08:00 - 10:00 MZH 1380/1400
Prof. Dr. Marc Keßeböhmer

Bachelor: Wahlpflichtveranstaltungen

Wahlpflichtveranstaltungen für den Studiengang Mathematik B.Sc.
Course numberTitle of eventLecturer
03-M-FANA-1Functional Analysis

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1100 Vorlesung
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 1100 Vorlesung
weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 1100 Übung

Additional dates:
Wed. 10.07.24 10:00 - 12:00 MZH 1470

Die Funktionalanalysis untersucht unendlichdimensionale Räume und die darauf definierten Operatoren.

Alfred Schmidt
03-M-FTH-6Topology

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 08:00 - 10:00 MZH 7200 Vorlesung
weekly (starts in week: 1) Wed. 12:00 - 14:00 GW2 B1400 NUR Mi. - So.
weekly (starts in week: 1) Fri. 08:00 - 10:00 MZH 7200 Vorlesung
Prof. Dr. Eva-Maria Feichtner
03-M-NUM-2Numerical Calculus 2

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 1100 Vorlesung
weekly (starts in week: 1) Thu. 10:00 - 12:00 Vorlesung
weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1100 Übung

Fortsetzung von Numerik~1: Entwicklung und Analyse von Algorithmen zur approximativen Lösung mathematischer Probleme, die insbesondere in industriellen Anwendungen auftreten.

Ronald Stöver
03-M-VOR-1Presentation of Upper-Level Math Courses

Blockeinheit (Teaching)

Additional dates:
Tue. 02.04.24 12:00 - 14:00 MZH 1470

Aktuelle Informationsbroschüren finden Sie unter www.szmathe.uni-bremen.de

Prof. Dr. Thorsten-Ingo Dickhaus
Dr. Ingolf Schäfer

Bachelor: Proseminare

Course numberTitle of eventLecturer
03-M-FEB-1REU-Projects

Introductory seminar course (Teaching)
ECTS: 3 / 5
Prof. Dr. Marc Keßeböhmer
Prof. Dr. Anke Dorothea Pohl
03-M-MKOM-5Algebra

Introductory seminar course (Teaching)
ECTS: 3 / 5

Dates:
weekly (starts in week: 1) Thu. 12:00 - 14:00 MZH 7200 Proseminar
Prof. Dr. Eva-Maria Feichtner
03-M-MKOM-6Cellular automata and self-organization

Introductory seminar course (Teaching)
ECTS: 3 / 5

Dates:
weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 4140 Proseminar
weekly (starts in week: 1) Fri. 14:00 - 18:00 MZH 5500 Proseminar

In diesem Proseminar werden zelluläre Automaten als Werkzeug zur Untersuchung dynamischer Systeme betrachtet. Besonderes Augenmerk wird dabei auf das Phänomen der sogenannten selbstorganisierten Kritikalität als interessante neue Eigenschaft dynamischer Systeme gelegt.

Hinweis: Die Veranstaltungszeit beträgt nur zwei und nicht wie angegeben vier Stunden wöchentlich. Ebenso ist der Termin nicht fix und kann bei auftretenden Terminkonflikten der Teilnehmenden leicht umgelegt werden. Dies wird neben der Vorstellung der Inhalte beim ersten Treffen am 05.04. mit allen Teilnehmenden diskutiert.

Prof. Dr. Anke Dorothea Pohl
Lothar Dirks
03-M-MKOM-7Homologische Algebra

Introductory seminar course (Teaching)
ECTS: 3/5

Dates:
weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: MZH 7200 Proseminar

Die Veranstaltung findet zusammen mit der LV 03-M-AC-10 statt.

Prof. Dr. Dmitry Feichtner-Kozlov

Master: Wahlpflichtveranstaltungen

Course numberTitle of eventLecturer
03-M-VOR-1Presentation of Upper-Level Math Courses

Blockeinheit (Teaching)

Additional dates:
Tue. 02.04.24 12:00 - 14:00 MZH 1470

Aktuelle Informationsbroschüren finden Sie unter www.szmathe.uni-bremen.de

Prof. Dr. Thorsten-Ingo Dickhaus
Dr. Ingolf Schäfer

Vertiefungsrichtung Algebra

Course numberTitle of eventLecturer
03-IMAT-APX (03-ME-602.99a)Approximation Algorithms (in English)

Kurs (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 2) Tue. 10:00 - 12:00 MZH 3150 Kurs
weekly (starts in week: 2) Thu. 14:00 - 16:00 MZH 1470 MZH 5500 Übung

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

A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be modeled as combinatorial optimization problems. In most cases, these problems are computationally intractable and one often resorts to heuristics that provide sufficiently good solutions in reasonable amount of runtime. However, in most cases, such heuristics do not provide a worst case guarantee on the performance in comparison to the optimum solution. In this course, we shall study algorithms for combinatorial optimization problems which can provide strong mathematical guarantees on performance. The course aims at developing a toolkit for solving such problems. The lectures will consist of designing polynomial-time algorithms and proving rigorous bounds on their worst case performances.
We review many classical results in the field of approximation algorithms, highlighting different techniques commonly used for the design of such algorithms. Among others, we will treat the following topics:
• Greedy algorithms and Local Search
• Rounding Data and Dynamic Programming
• Deterministic Rounding of Linear Programs (LPs)
• Random Sampling and Randomized Rounding of LPs
• Primal-Dual Methods
• Hardness of Approximation
• Problem Solving under Uncertainty

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 4140 Lecture
weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 1100 MZH 5220 (Didaktik-Labor) Lecture
weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 3150 Exercise

Convex Geometry plays an essential role in several branches of Mathematics, from Discrete Mathematics to Harmonic Analysis. We will discuss some major analytic and discrete aspects of convex geometry and some applications. Our topics will range from the boundary structure of convex bodies, particularly polytopes, to Hadwiger's volume characterisation, via geometric and functional inequalities, as well as geometric and analytic symmetrization techniques.

Eugenia Saorin Gomez

Vertiefungsrichtung Analysis

Course numberTitle of eventLecturer
03-M-SP-16Mathematical Foundations of Machine Learning (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) Tue. 12:00 - 14:00 MZH 2340 Lecture
weekly (starts in week: 1) Tue. 14:00 - 16:00 MZH 2340 Exercise

This course deals with the mathematical foundations of machine learning with a strong focus on classical theory and well-established algorithms like, for example, support vector machines for classification, ridge regression, principal component analysis for dimensionality reduction and k-means clustering. In addition, deep learning with neural networks will be briefly discussed towards the end of the course.

Peter Maaß
Dr. Matthias Beckmann
03-M-SP-32Spectral Theory (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 14:00 - 16:00 MZH 4140 Lecture
weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 4140 Lecture
weekly (starts in week: 1) Thu. 16:00 - 18:00 MZH 4140 Exercise
PD Dr. Hendrik Vogt
03-M-SP-34Differential Geometry (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 1110 MZH 4140 Lecture
weekly (starts in week: 1) Tue. 12:00 - 14:00 MZH 1470 Exercise
weekly (starts in week: 1) Wed. 16:00 - 18:00 MZH 4140 Lecture

This course will cover manifolds, vector bundles, embeddings and submersions, integral curves and flows, basics of Lie groups, differential forms and integration, Riemannian metrics, geodesics, connections, curvature, and further topics.

Prof. Dr. Anke Dorothea Pohl

Vertiefungsrichtung Numerik

Course numberTitle of eventLecturer
03-IMAT-APX (03-ME-602.99a)Approximation Algorithms (in English)

Kurs (Teaching)
ECTS: 6

Dates:
weekly (starts in week: 2) Tue. 10:00 - 12:00 MZH 3150 Kurs
weekly (starts in week: 2) Thu. 14:00 - 16:00 MZH 1470 MZH 5500 Übung

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

A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be modeled as combinatorial optimization problems. In most cases, these problems are computationally intractable and one often resorts to heuristics that provide sufficiently good solutions in reasonable amount of runtime. However, in most cases, such heuristics do not provide a worst case guarantee on the performance in comparison to the optimum solution. In this course, we shall study algorithms for combinatorial optimization problems which can provide strong mathematical guarantees on performance. The course aims at developing a toolkit for solving such problems. The lectures will consist of designing polynomial-time algorithms and proving rigorous bounds on their worst case performances.
We review many classical results in the field of approximation algorithms, highlighting different techniques commonly used for the design of such algorithms. Among others, we will treat the following topics:
• Greedy algorithms and Local Search
• Rounding Data and Dynamic Programming
• Deterministic Rounding of Linear Programs (LPs)
• Random Sampling and Randomized Rounding of LPs
• Primal-Dual Methods
• Hardness of Approximation
• Problem Solving under Uncertainty

Dr. Felix Christian Hommelsheim
03-M-SP-12High-Performance Visualization (in English)
Interactive Exploration for the Analysis of Large-scale Scientific Datasets

Lecture (Teaching)
ECTS: 4,5 / 6

Dates:
weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 1110 Lecture and Exercise

Additional dates:
Thu. 11.07.24 14:00 - 18:00 MZH 1110
Thu. 22.08.24 - Fri. 23.08.24 (Thu., Fri.) 08:00 - 14:00 MZH 5500

The lecture addresses Interactive Visualization of Huge Scientific Datasets. More information can also be found on the Homepage: https://www.uni-bremen.de/ag-high-performance-visualization

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) Thu. 12:00 - 14:00 MZH 2340 Lecture

Additional dates:
Wed. 10.07.24 14:00 - 16:00 ZOOM
Wed. 17.07.24 14:00 - 16:00 ZOOM
Mon. 22.07.24 - Fri. 26.07.24 (Mon., Tue., Wed., Thu., Fri.) 10:00 - 16:30

This course provides an introduction to the practice of scientific programming.

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) Mon. 12:00 - 14:00 MZH 2340 Lecture
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

This course deals with the mathematical foundations of machine learning with a strong focus on classical theory and well-established algorithms like, for example, support vector machines for classification, ridge regression, principal component analysis for dimensionality reduction and k-means clustering. In addition, deep learning with neural networks will be briefly discussed towards the end of the course.

Peter Maaß
Dr. Matthias Beckmann
03-M-SP-20Digital Optimal Control and Optimal Feedback Control (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture
weekly (starts in week: 1) Thu. 10:00 - 12:00 External location: NEOS Gebäude 3. Etage Lecture
weekly (starts in week: 1) Thu. 12:00 - 14:00 External location: NEOS Gebäude 3. Etage Exercise

Die Veranstaltung findet im NEOS Gebäude statt.

Prof. Dr. Christof Büskens
03-M-SP-35Selected Topics in Convex Optimization (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 2340 Lecture
weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 2340 Lecture
weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 2490 (Seminarraum) Exercise

The course will discuss convex optimisation problems and present and analyse algorithms that solve them. Topics will include proximal splitting, acceleration, stochastic algorithms, and performance estimation.

Sebastian Banert
Dirk Lorenz
03-M-SP-36Selected Topics on Optimization for Machine Learning (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Thu. 14:00 - 16:00 MZH 2340 Lecture
weekly (starts in week: 1) Fri. 10:00 - 12:00 MZH 2340 Lecture
weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 2340 Exercise
Dirk Lorenz
Lionel Ngoupeyou Tondji

Vertiefungsrichtung Stochastik & Statistik

Course numberTitle of eventLecturer
03-M-SP-22Linear and Generalized Linear Regression (Statistics II) (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Wed. 08:00 - 10:00 MZH 7200 Lecture
weekly (starts in week: 1) Wed. 10:00 - 12:00 MZH 7200 Exercise
weekly (starts in week: 1) Thu. 08:00 - 10:00 MZH 7200 Lecture

Additional dates:
Thu. 25.07.24 10:00 - 12:00 MZH 7200
Maryam Movahedifar
03-M-SP-33Semiparametric Models (in English)

Lecture (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Tue. 09:00 - 10:30 Vorlesung
weekly (starts in week: 1) Wed. 14:00 - 16:00 Übung
weekly (starts in week: 1) Fri. 12:30 - 14:00 Vorlesung

Die Veranstaltung findet im KKSB statt.

The course will provide an introduction into the theory of semiparametric models. We will introduce and discuss the mathematical statistical theory for such models and will illustrate the utility of semiparametric models with a number of concrete models and data examples. Hence, the lecture and exercises will cover theoretical and practical aspects of semiparametric models. We will use the open statistical software R for the data applications.

Prof. Dr. Werner Brannath

Master: Seminare

Vertiefungsrichtung Algebra

Course numberTitle of eventLecturer
03-M-AC-10Homological Algebra

Seminar (Teaching)
ECTS: 4,5 / 6

Dates:
weekly (starts in week: 1) Mon. 10:00 - 12:00 MZH 7200 Seminar
Prof. Dr. Dmitry Feichtner-Kozlov
03-M-AC-24Cohomology

Seminar (Teaching)
ECTS: 4,5 / 6

Dates:
weekly (starts in week: 1) Mon. 10:00 - 12:00 External location: MZH 7200 Seminar
Prof. Dr. Dmitry Feichtner-Kozlov

Vertiefungsrichtung Analysis

Course numberTitle of eventLecturer
03-M-AC-22Advanced Communication Analysis (in English)

Seminar (Teaching)
ECTS: 4,5/6

Dates:
weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 4140 Seminar

Additional dates:
Fri. 24.05.24 12:00 - 16:00 MZH 1380/1400

In the Seminar Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants

Prof. Dr. Anke Dorothea Pohl

Vertiefungsrichtung Numerik

Course numberTitle of eventLecturer
03-M-AC-21Deep Learning for Inverse Problems (in English)

Seminar (Teaching)
ECTS: 4,5/6

Dates:
weekly (starts in week: 1) Mon. 14:00 - 16:00 MZH 2340 Seminar
Peter Maaß
03-M-AC-23Advanced Robust Control (in English)

Seminar (Teaching)
ECTS: 4,5 / 6

Dates:
weekly (starts in week: 1) Thu. 10:00 - 12:00 MZH 2340 Seminar
Dr. Chathura Wanigasekara
03-M-AC-28Advanced Numerical Methods for Partial Differential Equations (in English)

Seminar (Teaching)
ECTS: 4,5 / 6

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

Seminar on advanced numerical methods for partial differential equations

Alfred Schmidt

Master: Reading 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

Additional dates:
Thu. 13.06.24 08:00 - 10:00 MZH 4140

In the Reading Course Analysis advanced topics in the area of analysis are discussed. The precise topic for Summer semester 2024 will be decided upon with the participants.

Prof. Dr. Anke Dorothea Pohl
03-M-RC-NUMReading Course Numerical Analysis (in English)

Seminar (Teaching)
ECTS: 9

Homepage zur Veranstaltung: http://zetem.uni-bremen.de/o2c/veranstaltungen

Analytical and structured thinking, exact formulation of mathematical facts, comprehension of mathematical proofs and learning of proof techniques, independent and creative solving of mathematical problems, knowledge of real analysis, algorithmic approach to solving mathematical problems.

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

Seminar (Teaching)
ECTS: 9

The reading course introduces students to specific topics that may be relevant for the Master's thesis, using mainly original English-language literature (scientific articles and reference books). Students are expected to prepare a seminar talk and an elaboration on the topic.

Prof. Dr. Werner Brannath
Prof. Dr. Thorsten-Ingo Dickhaus

Oberseminare

Course numberTitle of eventLecturer
Research Seminar - Mathematical Parameter Identification (RTG) (in English)

Seminar (Teaching)

Dates:
weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 2340


Dr. rer. nat. Pascal Fernsel
03-M-OS-4Seminar: Dynamical Systems and Geometry

Seminar (Teaching)

Dates:
weekly (starts in week: 1) Thu. 14:00 - 16:00

Additional dates:
Tue. 04.06.24 09:00 - 10:00 MZH 4140
Wed. 26.06.24 10:00 - 12:00 SFG 0140
Tue. 27.08.24 09:30 - 12:30 MZH 6200
Fri. 28.03.25 08:00 - 18:00 MZH 5600

Weitere Infos auf der Seminar-Homepage

Prof. Dr. Marc Keßeböhmer
Prof. Dr. Anke Dorothea Pohl

Kolloquien

Course numberTitle of eventLecturer
03-M-KOL-1Mathematisches Kolloquium

Colloquium (Teaching)

Dates:
weekly (starts in week: 1) Tue. 16:00 - 18:00
Prof. Dr. Christine Knipping
Prof. Dr. Thorsten-Ingo Dickhaus

General Studies

Course numberTitle of eventLecturer
03-IBFW-HTO (03-BE-699.12)Hands-on Tutorial on Optimization (in English)

Blockveranstaltung (Teaching)
ECTS: 3

Additional dates:
Mon. 23.09.24 - Fri. 27.09.24 (Mon., Tue., Wed., Thu., Fri.) 09:00 - 17:00 MZH 5500

https://lvb.informatik.uni-bremen.de/igs/03-ibfw-hto.pdf
A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be formulated as discrete linear optimization problems. This course briefly introduces the theory of such problems. We develop a toolkit to model real-world problems as (discrete) linear programs. We also explore several ways to find integer solutions such as cutting planes, branch & bound, and column generation.

Throughout the course, we learn these skills by modeling and solving, for example, scheduling, packing, matching, routing, and network-design problems. We focus on translating practical examples into mixed-integer linear programs. We learn how to use solvers (such as CPLEX and Gurobi) and tailor the solution process to certain properties of the problem.

This course consists of two phases:

  • One week Mon-Fri (full day, 9-5) of lectures and practical labs: September 23-27, in MZH.
  • A subsequent project period: One problem has to be modeled, implemented, and solved individually or in a group of at most three students. The topic will be provided by the lecturers and will be discussed on the last day of the block course. The project including the implementation has to be presented in the beginning of the winter semester.

There are no prerequisites except some basic programming skills to participate.

Prof. Dr. Nicole Megow
03-M-GS-1Mathematics in Professional Practice

Seminar (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Fri. 12:00 - 14:00 MZH 1470 Seminar

Die Mathematik lebt davon, dass abstrahiert wird. Im Studium der Mathematik und der Industriemathematik erlernt man dieses abstrakte Denken und übersieht vielleicht, wie gut dieses Studium für den Arbeitsmarkt qualifiziert. Daher soll dieses Seminar Impulse setzen und Hilfen geben, um sich mit der eigenen beruflichen Karriere auseinanderzusetzen.

Matthias Knauer
03-M-GS-7Introduction to R (in English)

Lecture (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Fri. 10:00 - 13:00 GW1 A0150 Seminar

3 SWS Seminar
Raum wird nach Anmeldung in Stud.IP bekannt gegeben.
Homepage des KKSB und Uni-Lageplan

Prof. Dr. Werner Brannath
Eike Voß
03-M-GS-15Introduction to discrete structures

Seminar (Teaching)
ECTS: 9

Dates:
weekly (starts in week: 1) Mon. 12:00 - 14:00 MZH 7200 Übung
weekly (starts in week: 1) Tue. 10:00 - 12:00 MZH 7200 Vorlesung
weekly (starts in week: 1) Wed. 12:00 - 14:00 MZH 7200 Vorlesung/Plenum

Zu den Themen, die in diesem Kurs behandelt werden, gehören:
  • Mengenlehre, d.h. Schreibweisen, Mengenoperationen, Produkt- und Potenzmengen
  • Beweise und Logik
  • Kombinatorik (Variationen, Permutationen, Kombinationen, Binomialkoeffizienten, u.a.)
  • Graphentheorie (Planare Graphen, Wege in Graphen, Färbungen, Bäume)

Anastasios Stefanou
SZHB 0622ONLINE: English for Mathematicians and Industrial Mathematicians (Zertifikatskurs UNIcert II) (B2.3) (in English)
Eingangsniveau: B2.2

Kurs (Teaching)
ECTS: 3

Dates:
weekly (starts in week: 1) Tue. 16:15 - 17:55 External location: Onlinekurs (2 Teaching hours per week)


Edwin Shillington