14265 - Project Seminar in Mixed-Integer Programming Modulübersicht

Module Number: 14265
Module Title:Project Seminar in Mixed-Integer Programming
  Projektseminar numerische gemischt-ganzzahlige Programmierung
Department: Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology
Responsible Staff Member:
  • Prof. Dr. rer. nat. habil. Fügenschuh, Armin
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: On special announcement
Credits: 8
Learning Outcome: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.
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
Recommended Prerequisites:Knowledge in linear and mixed-integer optimization as well as ability to implement simple mathematical models on the computer, e.g. knowledge of the content of modules
  • 13862  Optimierung und Operations Research
  • 11322  Optimierungsmethoden des Operations Research
  • 14263  Mixed-Integer Programming, or
  • 13165  Einführung in die Python-Programmierung
Mandatory Prerequisites:None
Forms of Teaching and Proportion:
  • Seminar / 2 Hours per Week per Semester
  • Study project / 60 Hours
  • Self organised studies / 150 Hours
Teaching Materials and Literature:Corresponding to the respective focus, literature will be announced in the first class of the semester.
Module Examination:Continuous Assessment (MCA)
Assessment Mode for Module Examination:
  • scientific essay, 15-20 pages (50%) - documentation of the project results
  • technical talk, 45 minutes (50%) - presentation of the project results
Evaluation of Module Examination:Performance Verification – graded
Limited Number of Participants:None
Part of the Study Programme:
  • no assignment
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.
Module Components:
  • Project Seminar in Mixed-Integer Programming
Components to be offered in the Current Semester:
  • no assignment