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WiSe 2022/23 - WiSe 2023/24

English

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

6

Hirschhausen, Christian

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät VII

Institut für Volkswirtschaftslehre und Wirtschaftsrecht

37311500 FG Volkswirtschaftlehre, insb. Wirtschafts- und Infrastrukturpolitik

Volkswirtschaftslehre

Kontakt


H 33

Hainsch, Karlo Benedikt

or@wip.tu-berlin.de

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, CO2, transportation, water, hydrogen, energy systems).

Content

- 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

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Operations Research - Methods for Network EngineeringIV71 150 L 2291WiSeEnglish4

Workload and Credit Points

Operations Research - Methods for Network Engineering (IV):

Workload descriptionMultiplierHoursTotal
Class attendance15.04.0h60.0h
Class preparation and follow-up15.02.0h30.0h
Exam preparation1.030.0h30.0h
Term paper1.060.0h60.0h
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 offered in as integrated classroom learning over the course of the semester. 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:

Basic knowledge in operations research, interest in network industries

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

NamePointsCategorieDuration/Extent
Written Exam50written60 min.
Presentation10oral20 min./group
Term Paper40writtenmax. 30 p.

Grading scale

Notenschlüssel »Notenschlüssel 4: Fak I, Fak VII«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt90.0pt85.0pt80.0pt76.0pt72.0pt67.0pt63.0pt59.0pt54.0pt50.0pt

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:
Wintersemester.

Maximum Number of Participants

The maximum capacity of students is 25.

Registration Procedures

Registration via email (including matriculation number and study program) to or@wip.tu-berlin.de. Registration deadline: October 1

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  available
Additional information:
www.isis.tu-berlin.de

 

Literature

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/j.energy.2010.03.053.
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):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.

Miscellaneous

No information