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Event
Introduction to Operations Research I [SS222550040]
Lecturers
Organisation
- Diskrete Optimierung und Logistik
Part of
- Brick Introduction to Operations Research I and II | Industrial Engineering and Management (B.Sc.)
- Brick Introduction to Operations Research I and II | Economics Engineering (B.Sc.)
- Brick Introduction to Operations Research I and II | Information Systems (B.Sc.)
- Brick Introduction to Operations Research I and II | Information Engineering and Management (B.Sc.)
Literature
- Nickel, Stein, Waldmann: Operations Research, 2. Auflage, Springer, 2014
- Hillier, Lieberman: Introduction to Operations Research, 8th edition. McGraw-Hill, 2005
- Murty: Operations Research. Prentice-Hall, 1995
- Neumann, Morlock: Operations Research, 2. Auflage. Hanser, 2006
- Winston: Operations Research - Applications and Algorithms, 4th edition. PWS-Kent, 2004
Appointments
- 19.04.2022 09:45 - 11:15 - Room: 50.35 Hörsaal am Fasanengarten (HS a.F.)
- 26.04.2022 09:45 - 11:15 - Room: 50.35 Hörsaal am Fasanengarten (HS a.F.)
- 03.05.2022 09:45 - 11:15 - Room: 50.35 Hörsaal am Fasanengarten (HS a.F.)
- 10.05.2022 09:45 - 11:15 - Room: 50.35 Hörsaal am Fasanengarten (HS a.F.)
- 17.05.2022 09:45 - 11:15 - Room: 50.35 Hörsaal am Fasanengarten (HS a.F.)
- 24.05.2022 09:45 - 11:15 - Room: 50.35 Hörsaal am Fasanengarten (HS a.F.)
- 31.05.2022 09:45 - 11:15 - Room: 50.35 Hörsaal am Fasanengarten (HS a.F.)
- 14.06.2022 09:45 - 11:15 - Room: 50.35 Hörsaal am Fasanengarten (HS a.F.)
- 21.06.2022 09:45 - 11:15 - Room: 50.35 Hörsaal am Fasanengarten (HS a.F.)
- 28.06.2022 09:45 - 11:15 - Room: 50.35 Hörsaal am Fasanengarten (HS a.F.)
- 05.07.2022 09:45 - 11:15 - Room: 50.35 Hörsaal am Fasanengarten (HS a.F.)
- 12.07.2022 09:45 - 11:15 - Room: 50.35 Hörsaal am Fasanengarten (HS a.F.)
- 19.07.2022 09:45 - 11:15 - Room: 50.35 Hörsaal am Fasanengarten (HS a.F.)
- 26.07.2022 09:45 - 11:15 - Room: 50.35 Hörsaal am Fasanengarten (HS a.F.)
Note
Examples for typical OR problems.
Linear Programming: Basic notions, simplex method, duality, special versions of the simplex method (dual simplex method, three phase method), sensitivity analysis, parametric optimization, game theory.
Graphs and Networks: Basic notions of graph theory, shortest paths in networks, project scheduling, maximal and minimal cost flows in networks.
Learning objectives:
The student
- names and describes basic notions of linear programming as well as graphs and networks,
- knows the indispensable methods and models for quantitative analysis,
- models and classifies optimization problems and chooses the appropriate solution methods to solve optimization problems independently,
- validates, illustrates and interprets the obtained solutions.