Dynamischer Default-Fachbereich geändert auf WIW

Module WIW-BWL-OPR1-M-1

Operations Research I (M, 3.0 LP)

Module Identification

Module Number	Module Name	CP (Effort)
WIW-BWL-OPR1-M-1	Operations Research I	3.0 CP (90 h)

Basedata

CP, Effort	3.0 CP = 90 h
Position of the semester	1 Sem. in SuSe
Level	[1] Bachelor (General)
Language	[EN] English
Module Manager	Wendt, Oliver, Prof. Dr. (PROF \| DEPT: WIW)
Lecturers	Moeini, Mahdi, Dr. habil. (WMA \| DEPT: WIW) Wendt, Oliver, Prof. Dr. (PROF \| DEPT: WIW)
Area of study	[WIW-WIN] Business Information Systems and Operations Research
Reference course of study	[WIW-82.21-SG] B.Sc. Business Studies
Livecycle-State	[NORM] Active

Courses

Type/SWS	Course Number	Title	Choice in Module-Part	Presence-Time / Self-Study		SL	SL is required for exa.	PL	CP	Sem.
1V+1U	WIW-BWL-OPR1-K-1	Operations Research I	P	30 h	60 h	-	-	PL1	3.0	SuSe

About [WIW-BWL-OPR1-K-1]: Title: "Operations Research I"; Presence-Time: 30 h; Self-Study: 60 h

Examination achievement PL1

Form of examination: written exam (Klausur) (60-90 Min.)
Examination Frequency: each semester
Examination number: 32319 ("Operations Research I")

Evaluation of grades

The grade of the module examination is also the module grade.

From [WIW-BWL-OPR1-K-1] Operations Research I:

Lecture Operations Research 1:

Introduction to Operations Research
- Planning methods, Planning models, mathematics of planning
Graph models and graph theory
- Paths in graphs, networks, flows in graphs, transportation problem
Linear Optimization
- Basic model structures, Simplex algorithm, special LP structures, different phases of Simplex, variables with lower and upper bounds, post-optimality analysis (sensitivity analysis), applications and modeling, duality
Integer linear optimization
- Examples and case studies, Branch & Bound, Cutting Planes, MIP Modelling and Big-M

Exercises Operations Research 1:

Applying the taught algorithms
Presenting solution of the assignments
Tutorials

Competencies / intended learning achievements

Successful completion of this module enables students to:

Understand the possible difficulties of a problem.
Discuss about the advantages and disadvantages of different algorithms.
Understand the algorithms and use them to solve problems.
Categorize optimization problems and their corresponding solution methods.
Modify the existing methods in order to adjust them for special structures.
Provide mathematical models for well-structured operational decision problems.
Create graphical representation of the problems.
Suggest new solutions and discuss about the quality of alternative solutions.

Literature

From [WIW-BWL-OPR1-K-1] Operations Research I:

Hamdy A. Taha: Operations Research - An Introduction, 10 Aufl. (Global Edition), Pearson 2017.
Müller-Merbach: Operations Research - Methoden und Modelle der Optimalplanung, 3. Aufl., München: Vahlen 1973.

Slides with in-depth references for further reading will be made available.

Exercise materials will be provided.

Requirements for attendance (informal)

None

Requirements for attendance (formal)