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: Computeroriented Mathematics 1 (Winter 2022/23)

The course "Computeroriented Mathematics 1" is for Bachelor's students of programs in Mathematics as well as Mathematics in Finance and Industry (credit points: 4, credit hours: 2+1). The course will be held in the winter term 2022/23 by Prof. Dr. Sebastian Stiller and Sabrina Ammann in German language.

Lecture: Algorithmic Game Theory (Winter 2022/23)

The course "Algorithmic Game Theory" 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 winter term 2022/23 by Prof. Dr. Sebastian Stiller in German language.

Lecture: Mixed-Integer Programming (Winter 2022/23)

The course "Mixed-Integer Programming" 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 winter term 2022/23 by Dr. Andreas Tillmann in English language.

Lecture: Continuous Optimization in Data Science (Winter 2022/23)

The course "Continuous Optimization in Data Science" is for Master's students of programs in Data Science, Mathematics as well as Mathematics in Finance and Industry (credit points: 5, credit hours: 2+1). The course will be held in the winter term 2022/23 by Prof. Dr. Christian Kirches in English language.

Lecture: Dynamic Optimization (Winter 2022/23)

The course "Dynamic Optimization" is for Master's students of programs in Data Science, Mathematics as well as Mathematics in Finance and Industry (credit points: 10, credit hours: 4+2). The course will be held in the winter term 2022/23 by Prof. Dr. Christian Kirches and Dominik H. Cebulla in English language.

Lecture: Ramp up Course Mathematics (Winter 2022/23)

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 winter term 2022/23 by Prof. Dr. Christian Kirches, Prof. Dr. Sebastian Stiller, and others in English language.

Seminar: Bachelor/Master Seminar Optimization (Winter 2022/23)

The courses "Bachelor Seminar Optimization" and "Master Seminar Optimization" on the topic of mathematical optimization (discrete and/or continuous) are for students of 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 winter term 2022/23 by Prof. Dr. Christian Kirches, Prof. Dr. Maximilian Merkert, and Prof. Dr. Sebastian Stiller. Presentations can be held in English or German language.

Upper Seminar: Mathematical Optimization (Winter 2022/23)

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

Computerlab: Computerlab Optimization (Bachelor) (Winter 2022/23)

The course "Computerlab Optimization (Bachelor)" is for Bachelor's students of programs in Mathematics as well as Mathematics in Finance and Industry (credit points: 5, credit hours: 2+4). The course will be held in the winter term 2022 by Dr. Christoph Hansknecht and Dr.-Ing. Florian Bürgel in German language.

Lecture: Multi-Level Optimization (Summer 2022)

The course "Multi-Level Optimization" is for Bachelor's and Master's students of programs in Data Science, Mathematics as well as Mathematics in Finance and Industry (credit points: 7, credit hours: 3+1). The course will be held in the summer term 2022 by Prof. Dr. Maximilian Merkert as a so-called Reading Course in English language.

Lecture: Discrete Optimization (Summer 2022)

The lecture "Discrete Optimization" is for Master's students of programs in Data Science, 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. Sebastian Stiller and Rebecca Marx in English language.

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.

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)