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Operations Research - Graduate Autumn School



#70158 / #2

SS 2016 - WS 2017/18

Fakultät VII

H 33

Institut für Volkswirtschaftslehre und Wirtschaftsrecht

37311500 FG Volkswirtschaftlehre, insb. Wirtschafts- und Infrastrukturpolitik

Hirschhausen, Christian

Mendelevitch, Roman

POS-Nummer PORD-Nummer Modultitel
2346334 37256 Operations Research - Graduate Autumn School

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 non-linear and/or stochastic 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). Students get hands on experience with state-of-the-art theoretical and applied concepts of tools for policy advice in network industries.


The topics of the autumn school vary each year due to different guest lecturers, depending on actual policy debates and themes. There are usually two to three tracks for students to choose from. Exemplary topics are: – One and two-level energy market equilibrium modeling – Regulatory benchmarking for network industries – Stochastic optimization modeling – Efficiency and productivity analysis in public sector industries – Modeling watershed economics and policy

Module Components


All Courses are mandatory.

Course Name Type Number Cycle Language SWS VZ
Operations Research - Graduate Autumn School SEM 71 15 L 44 WS English 4

Workload and Credit Points

Operations Research - Graduate Autumn School (SEM):

Workload description Multiplier Hours Total
Class attendance 15.0 4.0h 60.0h
Preparation of presentation 1.0 20.0h 20.0h
Preparation of term paper 1.0 100.0h 100.0h
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 seminar in a one-week block seminar in the beginning of October. The lecture combines theoretical approaches and methods from the field of operations research. Students will, in addition, prepare and present a term paper in small groups of four students, applying the theoretical knowledge to a current topic.

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:

1. Requirement
Modul70146 [Operations Research - Grundlagen (OR-GDL)] passed
2. Requirement
Modul70129 [Energy Economics - Energy Sector Modeling (EW-MOD)] passed  or
Modul70186 [Operations Research - Methods for Network Engineering (OR-INF)] passed  or
Modul70102 [Advanced Efficiency and Productivity Analysis] passed  or
Modul70051 [Operations Research - Methods for Energy and Resource Markets (OR-RES)] passed

Module completion



Type of exam

Portfolio examination

Type of portfolio examination

No information



Test elements

Name Categorie Duration/Extent
Term Paper Presentation 30 No information
Term Paper Report 70 No information

Grading scale

No grading scale given

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 12.

Registration Procedures

Registration via email (including matriculation number and study program) to Registration deadline: August 31.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

Electronical lecture notes

Availability:  unavailable


Recommended literature
Relevant literature will be provided in the course.

Assigned Degree Programs

This moduleversion is used in the following modulelists:

Verwendungen (8)
Studiengänge: 1 Stupos: 1 Erstes Semester: SS 2016 Letztes Semester: WS 2017/18


No information