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Operations Research - Methods for Network Engineering (OR-INF) (Operations Research - Methods for Network Engineering)



#70186 / #5

SoSe 2021 - SoSe 2022

Fakultät VII

H 33

Institut für Volkswirtschaftslehre und Wirtschaftsrecht

37311500 FG Volkswirtschaftlehre, insb. Wirtschafts- und Infrastrukturpolitik

Hirschhausen, Christian

Weibezahn, Jens

POS-Nummer PORD-Nummer Modultitel
300110 23461 Operations Research - Methods for Network Engineering

Learning Outcomes

KNOWLEDGE: Students will be able to describe and explain the topics listed in the 'content' section. SKILLS: Students will be able to solve linear and non-linear problems using the methods of applied mathematics, use standard software, and write scientific texts. ABILITIES: Students will be able to create their own mathematical programs in order to empirically evaluate short and long term trends in a case study of one of the application areas (i.a. electricity, gas, coal, CO2, transportation, water).


- Introduction to standard software - Repetition: linear programming - Introduction to game theory - Lagrange-method for solving optimization problems - Flow theory - Equilibrium/complementarity modeling using Karush-Kuhn-Tucker conditions - Mixed integer programming

Module Components


All Courses are mandatory.

Course Name Type Number Cycle Language SWS VZ
Operations Research - Methods for Network Engineering IV 71 150 L 2291 WS English 4

Workload and Credit Points

Operations Research - Methods for Network Engineering (IV):

Workload description Multiplier Hours Total
Class attendance 15.0 4.0h 60.0h
Class preparation and follow-up 15.0 2.0h 30.0h
Exam preparation 1.0 30.0h 30.0h
Term paper 1.0 60.0h 60.0h
180.0h(~6 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

The module is taught as integrated classroom learning as two-week block seminar in the first weeks of November. The course combines theoretical approaches and methods from the field of operations research with application to network industries. Students will, in addition, prepare and present a term paper in small groups of four students, applying the theoretical knowledge to a current topic in network industries.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

advanced mathematical skills, interest in network industries

Mandatory requirements for the module test application:

No information

Module completion



Type of exam

Portfolio examination

Type of portfolio examination

100 points in total



Test elements

Name Points Categorie Duration/Extent
Written Exam 50 written 75 min.
Presentation 10 oral 20 min./group
Term Paper 40 written max. 30 p.

Grading scale

Test description (Module completion)

The portfolio examination consists of the following elements, adding up to a maximum of 100 credits. The grading follows the joint conversion key of the School of Economics and Management (decision of the school's council dated May 28, 2014 - FKR VII-4/8-28.05.2014).

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:

Maximum Number of Participants

The maximum capacity of students is 25.

Registration Procedures

Registration via email (including matriculation number and study program) to Registration deadline: October 1

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

Electronical lecture notes

Availability:  available
Additional information:


Recommended literature
Ahuja, R. K. / Magnanti, T. L. / Orlin, J. B. (1993): “Network Flows - Theory, Algorithms and Application”, Prentice Hall
Brooke / Kendrick / Meeraus / Raman (2008): "GAMS – A User’s Guide"
Chao, H.-P. / Peck, C. (1998): “Reliability management in competitive electricity markets”, Journal of Regulatory Economics, 14, pp. 189-200
Cormen, Th. H. (2009): “Introduction to Algorithms”, MIT Press
Egging, R. / Holz, F. / Gabriel, S. (2010): “The World Gas Model”, Energy 35 (10) (October): pp. 4016– 4029, doi:10.1016/
Ehrenmann, A. / Smeers, Y. (2005): “Inefficiencies in European Congestion Management Proposals”, Utilities Policy, 3 (2), pp. 135-152
Gabriel, S. et. al. (2013): "Complementarity Modeling in Energy Markets, Springer
Gibbons, R. (1992): “A Primer in Game Theory”, Pearson Education
Ortuzar, J. d. D. / Willumsen, L. G. (1994): “Modelling Transport”, John Wiley & Sons Ltd., 2nd edition

Assigned Degree Programs

This module is used in the following Degree Programs (new System):

This moduleversion is used in the following modulelists:


No information