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: Mathematical Algorithms and Programming 1 (Winter 2023/24)

The course "Mathematical Algorithms and Programming 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 2023/24 by Prof. Dr. Christian Kirches and Dr. Dominik H. Cebulla in German language.

Lecture: Algorithmic Game Theory (Winter 2023/24)

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 2023/24 by Prof. Dr. Sebastian Stiller in German language.

Lecture: Mixed-Integer Nonlinear Programming (MINLP) (Winter 2023/24)

The lectures "Mixed-Integer Nonlinear Programming (MINLP)" 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 by Prof. Dr. Maximilian Merkert and Dr.-Ing. Florian Bürgel in the winter term 2023/24 in German language.

Lecture: Continuous Optimization in Data Science (Winter 2023/24)

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 2023/24 by Prof. Dr. Christian Kirches and Michel Lahmann in English language.

Lecture: Ramp up Course Mathematics (Winter 2023/24)

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 2023/24 by Prof. Dr. Christian Kirches, Prof. Dr. Sebastian Stiller, and others in English language.

Computerlab: How Computers beat us at Hex (Winter 2023/24)

The course "Computerlab: How Computers beat us at Hex" is for students of the programs in Data Science, Mathematics as well as Mathematics in Finance and Industry (5 credit points, 4+2 credit hours). The course will be held in the winter term 2023/24 by Prof. Maximilian Merkert, Dr. Dominik H. Cebulla, Eva Ley in German or English language.

Seminar: How Computers beat us at Hex (Winter 2023/24)

The course "Seminar: How Computers beat us at Hex" is for students of the programs in Data Science, Mathematics as well as Mathematics in Finance and Industry (4 credit points, 2 credit hours). The course will be held in the winter term 2023/24 by Prof. Maximilian Merkert, Dr. Dominik H. Cebulla, Eva Ley in German or English language.

Seminar: Bachelor/Master Seminar Optimization (Winter 2023/24)

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 winter term 2023/24 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 2023/24)

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

Lecture: Computeroriented Mathematics 2 (Summer 2023)

The course "Computeroriented Mathematics 2" 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 summer term 2023 by Prof. Dr. Christian Kirches in German language.

Lecture: Introduction to Mathematical Optimization (Nonlinear Optimization) (Summer 2023)

The lecture "Introduction to Mathematical Optimization" (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 2023 by Prof. Dr. Maximilian Merkert and Eva Ley in German language.

Lecture: Discrete Optimization (Summer 2023)

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 2023 by Dr. Imke Joormann and Eva Ley in English language.

Lecture: Algorithms and Complexity for Quantum Computers (Summer 2023)

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 2023 by Prof. Dr. Sebastian Stiller in English language.

Lecture: Optimization in Machine Learning and Data Science (Summer 2023)

The lecture "Optimization in Machine Learning and 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+2). The course will be held in the summer term 2023 by Prof. Dr. Sebastian Stiller in English language.

Lecture: Ramp up Course Mathematics (Summer 2023)

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 2023 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)