Modules

Prerequisites

Contents

• Practical implementation of the theory learned from optimization courses based on an applied question, e.g. a problem from business or industry • Development of a mathematical model (mixed-integer linear or nonlinear programming) • Implementation of the model in a modeling language • Solution by numerical solvers • Interpretation of the solution found in the application context • Documentation of the results in the form of a scientific essay • Presentation of the results in the context of a technical talk

Learning outcomes

After successfully completing the module, students will recognize the link between theory and practice in relation to mathematical optimization. They are able to transfer the knowledge they have learned to an unknown, new situation. Students are able to estimate the capabilities and limitations of numerical optimization methods. They have acquired an independent working method in preparation to a thesis.

Assessment

• scientific essay, 15-20 pages (50%) - documentation of the project results • technical talk, 45 minutes (50%) - presentation of the project results

Remarks

• Study programme Mathematics M.Sc.: Compulsory elective module in complex „Optimization“ • Study programme Mathematik B.Sc.: Compulsory elective module in complex „Vertiefung“, in limited extend • Study programme Wirtschaftsmathematik B.Sc.: Compulsory elective module in complex „Vertiefung“, in limited extend A preliminary meeting takes place at the end of the previous semester. Participants are expected to complete significant parts of the self-study phase during the lecture-free period prior to the beginning of the seminar.