Eva Ley

Eva Ley
Universitätsplatz 2, Room 608

Teaching

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.

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: Linear and Combinatorial Optimization (Winter 2022/23)

The course "Linear and Combinatorial Optimization" is for Bachelor's students of programs in 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. Sebastian Stiller and Eva Ley in German language.