Eva Ley

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.

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.

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.

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.

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.