Past Semesters

Here you can find an overview of courses offered by our institute in past semesters

Course Overview (only in German for summer semester 2020 and prior)

Lecture: Algorithms and Complexity for Quantum Computers (Summer 2022)

The lecture "Algorithms and Complexity for Quantum Computers" is for Bachelor's and Master's students of programs in Data Science, Mathematics as well as Mathematics in Finance and Industry (credit points: 5, credit hours: 2+2). The course will be held in the summer term 2022 by Prof. Dr. Sebastian Siller in English language.

Lecture: Einführung in die Mathematische Optimierung (Nonlinear Optimization) (Summer 2022)

The lecture "Einführung in die mathematische Optimierung" (Nonlinear Optimization) is for Bachelor's students of programs in Physics, Mathematics as well as Mathematics in Finance and Industry (credit points: 10, credit hours: 4+2). The course will be held in the summer term 2022 by Prof. Dr. Christian Kirches and Dominik H. Cebulla in German language.

Lecture: Scattering Problems (Summer 2022)

The lecture "Scattering Problems" is for Master's students of programs in Mathematics as well as Mathematics in Finance and Industry (credit points: 5, credit hours: 2+1). The course will be held in the summer term 2022 by Dr.-Ing. Florian Bürgel in German language.

Lecture: Ramp up Course Mathematics (Summer 2022)

The lecture "Ramp up Course Mathematics" is for Master's students of program in Data Science (credit points: 10, credit hours: 4+2). The course will be held in the summer term 2022 by Prof. Dr. Christian Kirches, Prof. Dr. Sebastian Stiller, and others in English language.

Seminar: Bachelor/Master Seminar Optimization (Summer 2022)

The courses "Bachelor Seminar Optimization" and "Master Seminar Optimization" on the topic of mathematical optimization (discrete and/or continuous) are for students of the programs in Data Science, Mathematics as well as Mathematics in Finance and Industry (credit points: 4, credit hours: 2). The courses are offered in the summer term 2022 by Prof. Dr. Christian Kirches, Prof. Dr. Maximilian Merkert, and Prof. Dr. Sebastian Stiller. Presentations can be held in English or German language.

Computerlab: Advanced Computerlab Optimization (Summer 2022)

The course "Advanced Computerlab Optimization" on the topic of game theory is for Bachelor's and Master's students of programs in Data Science, Mathematics as well as Mathematics in Finance and Industry (credit points: 5, credit hours: 2+4). The course will be held in the summer term 2022 by Christoph Hansknecht in English language.

Upper Seminar: Mathematical Optimization (Summer 2022)

The upper seminar "Mathematical Optimization" is leaded by Prof. Dr. Christian Kirches and Prof. Dr. Sebastian Stiller.

Lecture: Dynamic Optimization (Winter 2021/22)

The lectures "Dynamic Optimization" (old module "Continuous Optimization") will be held by Prof. Dr. Kirches and Dr. Komander in the winter term 2021/22.

Note: The language of this course is English.

Lecture: Continuous Optimization in Data Science (Winter 2021/22)

The lectures "Continuous Optimization in Data Science" will be held by Prof. Dr. Kirches in the winter term 2021/22.

Note: The language of this course is English.

Lecture: Mixed-Integer Programming (Winter 2021/22)

The lectures "Mixed-Integer Programming" will be held by Dr. Andreas Tillmann in the winter term 2021/22.

Note: The language of this course is German.

Lecture: Algorithmic Game Theory (Winter 2021/22)

The lectures "Algorithmic Game Theory" will be held by Prof. Dr. Stiller in the winter term 2021/22. The language of this course is English.

Lecture: Linear and Combinatorial Optimization (Winter 2021/22)

The lecture "Linear and Combinatorial Optimization" in winter semester 2021/22 will be given by Prof. Dr. Sebastian Stiller, Rebecca Marx, and Dr.-Ing. Florian Bürgel. The language of this course is German.

Lecture: RampUp Course Mathematics (Winter 2021/22)

The lecture "RampUp Course Mathematics" in winter semester 2021/22 will be given by Profes. Sebastian Stiller, Christian Kirches, and others. Note that the language of this course is English.

Lecture: Mixed-Integer Nonlinear Programming (MINLP) (Winter 2021/22)

The lectures "Mixed-Integer Nonlinear Programming (MINLP)" will be held by Prof. Dr. Maximilian Merkert in the winter term 2021/22.

Seminar: Optimization (Winter 2021/22)

In winter semester 2021/22, both a Bachelor seminar and Master seminar Optimization on the topic of stochastic optimization is offered by Prof. Dr. Christian Kirches, Prof. Dr. Maximilian Merkert, Prof. Dr. Nicole Mücke, and Prof. Dr. Sebastian Stiller. Presentations can be held in English or German language.

Teaching in winter semester 2016/17 and prior

(overview only in German)

Winter 2016/17:

  • Lineare und Kombinatorische Optimierung (Dr. Joormann, C. Hansknecht)
  • Computerorientierte Mathematik 1 (Dr. Joormann, C. Hansknecht)
  • Algorithmische Spieltheorie (Prof. Stiller)
  • Oberseminar des Instituts für Mathematische Optimierung (Prof. Stiller)

Sommer 2016:

  • Lineare und Kombinatorische Optimierung (Prof. Stiller)
  • Ganzzahlige Programmierung und Polyedertheorie (Prof. Stiller)
  • Einführung in die Mathematische Optimierung (Prof. Stiller, Dr. Groß)
  • Computerorientierte Mathematik 2 (Prof. Stiller, Dr. Groß)
  • Computerpraktikum Optimierung für Anfänger (Prof. Stiller, A. Richter)
  • Computerpraktikum Optimierung für Fortgeschrittene (Prof. Stiller, C. Hansknecht)
  • Oberseminar des Instituts für Mathematische Optimierung (Prof. Stiller)

Winter 2015/16:

  • Einführung in die Mathematische Optimierung (Dr. Kirches)
  • Computerorientierte Mathematik 2 (Dr. Kirches)
  • Diskrete Optimierung (Prof. Stiller)
  • Algorithmische Spieltheorie (Prof. Stiller)
  • Wissenschaftliche Textverarbeitung in LaTeX (Prof. Stiller, A. Richter)
  • Seminar Kombinatorische Optimierung (Prof. Stiller)
  • Computerpraktikum Optimierung für Fortgeschrittene (Prof. Stiller, C. Hansknecht)

Sommer 2015:

  • Lineare und Kombinatorische Optimierung (Dr. Kirches)
  • Computerpraktikum Optimierung für Anfänger (Dr. Kirches)
  • Wissenschaftliche Textverarbeitung in LaTeX (Dr. Rieger)