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# 105.615 Operations Research This course is in all assigned curricula part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_21",{id:"j_id_21",showEffect:"fade",hideEffect:"fade",target:"isAllSteop"});});This course is in at least 1 assigned curriculum part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_23",{id:"j_id_23",showEffect:"fade",hideEffect:"fade",target:"isAnySteop"});}); 2022S 2021S 2020S 2019S 2018S 2017S 2016S 2015S 2014S 2013S 2012S

2022S, VO, 2.0h, 3.0EC

## Properties

• Semester hours: 2.0
• Credits: 3.0
• Type: VO Lecture
• Format: Hybrid

## Learning outcomes

After successful completion of the course, students are able to

• model (and apply mathematical methods) in typical operational issues such as production planning, supply chains and inventory planning, performance measurement, route planning, decision theory, etc.
• distinguish between simulation models and mathematical models (descriptive versus prescriptive models)
• discuss and apply the fundamentals of graph theory and to prove selected theorems of graph theory (selected on the basis of exemplary proof approaches)
• to explain and apply important algorithms of graph theory
• model stochastic, multi-stage problem formulations in Markov chains
• calculate statistical equilibria of irreducible ergodic markov chains and thus to weigh alternative decisions or anticipated market shares
• choose adequate queuing models and calculate the characteristic measures (such as expected length of the queue) of a queuing system and use it as decision support
• sketch basic concepts, models and methods of game theory
• explain the concepture of the Column Generation Method for large scale LPs (based on the case studies).

## Subject of course

Model-based decision-support, abstraction and modeling, juxtaposition of descriptive and prescriptive models, OR case studies, efficiency and productivity measurement, introduction to queuing theory, and brief portrait of graph theory and game theory.

## Teaching methods

The basic contents and concepts are presented by the head of the LVA via TUWEL, dicussed and deepened in presence and illustrated with the help of examples and case studies, and thus practiced by the students.

## Mode of examination

Written

First date: Wed March 2nd, 2022, 1:10 p.m. TUWEL ZOOM online

## Course dates

DayTimeDateLocationDescription
Wed14:00 - 16:0002.03.2022 - 29.06.2022FH Hörsaal 2 VO Operations Research
Operations Research - Single appointments
DayDateTimeLocationDescription
Wed02.03.202214:00 - 16:00FH Hörsaal 2 VO Operations Research
Wed09.03.202214:00 - 16:00FH Hörsaal 2 VO Operations Research
Wed16.03.202214:00 - 16:00FH Hörsaal 2 VO Operations Research
Wed23.03.202214:00 - 16:00FH Hörsaal 2 VO Operations Research
Wed30.03.202214:00 - 16:00FH Hörsaal 2 VO Operations Research
Wed06.04.202214:00 - 16:00FH Hörsaal 2 VO Operations Research
Wed27.04.202214:00 - 16:00FH Hörsaal 2 VO Operations Research
Wed04.05.202214:00 - 16:00FH Hörsaal 2 VO Operations Research
Wed11.05.202214:00 - 16:00FH Hörsaal 2 VO Operations Research
Wed18.05.202214:00 - 16:00FH Hörsaal 2 VO Operations Research
Wed25.05.202214:00 - 16:00FH Hörsaal 2 VO Operations Research
Wed01.06.202214:00 - 16:00FH Hörsaal 2 VO Operations Research
Wed08.06.202214:00 - 16:00FH Hörsaal 2 VO Operations Research
Wed15.06.202214:00 - 16:00FH Hörsaal 2 VO Operations Research
Wed22.06.202214:00 - 16:00FH Hörsaal 2 VO Operations Research
Wed29.06.202214:00 - 16:00FH Hörsaal 2 VO Operations Research

## Examination modalities

Written exam at the end of the semester.

(Should the COVID19 situation require greater effort for the written exam, the exam will be held virtually online via ZOOM).

## Course registration

Begin End Deregistration end
22.02.2022 00:00

## Curricula

Study CodeObligationSemesterPrecon.Info
033 203 Statistics and Mathematics in Economics Mandatory4. Semester
066 395 Statistics and Mathematics in Economics Mandatory elective

## Literature

No lecture notes are available.

German