Modules

Prerequisites

Contents

• Modeling in mixed-integer optimization. • Modeling alternatives. • Basics of modeling languages. • Detailed presentation of individual languages, such as AMPL, GAMS and AIMMS for the formulation of mathematical optimization tasks.

Learning outcomes

After successful completion of the module, students will be able to recognise and evaluate the application possibilities of modeling languages for the formulation of optimization problems. They can formulate models within a modeling language and select suitable numerical solvers for their solution. They are able to interpret the solution in the application context.

Assessment

• 4 written examinations, 30 minutes each, of which the best 3 contribute to the final module grade with a weighting of 1/3 each.

Remarks

• Study programme Applied Mathematics M.Sc.: Compulsory elective module in complex „Optimization“ • Study programme Mathematics B.Sc.: Compulsory elective module in complex „Specialisation“, in limited extend • Study programme Economathematics B.Sc.: Compulsory elective module in complex „Specialisation“, in limited extend • Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Advanded Methods“ For the different modeling languages software packages are installed on students' laptops. Required operating systems: MacOS / Linux and Windows (for the language AIMMS). If there is no need that the module 12701 „Gemischt-ganzzahlige Modellbildung“ is taught in German, alternatively this English version 13220 may be offered instead.