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040894 KU LP Modeling I (MA) (2018S)
Continuous assessment of course work
Labels
Summary
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from We 14.02.2018 09:00 to We 21.02.2018 12:00
- Deregistration possible until We 14.03.2018 23:59
Registration information is available for each group.
Groups
Group 1
max. 35 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Thursday
01.03.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
08.03.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
15.03.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
22.03.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
22.03.
13:15 - 14:45
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
22.03.
15:00 - 16:30
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday
11.04.
15:00 - 16:30
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
12.04.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
19.04.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
26.04.
11:30 - 13:00
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Thursday
26.04.
13:15 - 14:45
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Group 2
max. 30 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Friday
02.03.
09:45 - 12:55
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Friday
09.03.
09:45 - 13:00
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Friday
16.03.
09:45 - 13:00
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
22.03.
13:15 - 14:45
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
22.03.
15:00 - 16:30
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Friday
13.04.
09:45 - 13:00
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Friday
20.04.
09:45 - 13:00
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
26.04.
13:15 - 14:45
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Information
Aims, contents and method of the course
Assessment and permitted materials
25 % homework
40 % midterm exam (closed book)
35 % final exam (closed book)
40 % midterm exam (closed book)
35 % final exam (closed book)
Minimum requirements and assessment criteria
In order to pass the course (minimum requirement) students have to achieve at least 50% in total.
Examination topics
Students are expected to be able to understand, formulate and solve a variety of LP models and implement them using XpressMP. Slides will be available in Moodle.
Reading list
* Bertsimas, D., & Tsitsiklis, J. N. (1997). Introduction to linear optimization. Athena Scientific.
* Papadimitriou, C. H., & Steiglitz, K. (1998). Combinatorial Optimization: Algorithms and Complexity. Dover Publications.
* Guéret, C., Prins, C., & Sevaux, M. (2002). Applications of optimisation with Xpress-MP. Dash optimization.
* Hillier, F. S., & Lieberman, G. J. Introduction to Operations Research. McGraw-Hill.
* Anderson, D. R., Sweeney, D. J. An introduction to management science: quantitative approaches to decision making. South-Western.
* Papadimitriou, C. H., & Steiglitz, K. (1998). Combinatorial Optimization: Algorithms and Complexity. Dover Publications.
* Guéret, C., Prins, C., & Sevaux, M. (2002). Applications of optimisation with Xpress-MP. Dash optimization.
* Hillier, F. S., & Lieberman, G. J. Introduction to Operations Research. McGraw-Hill.
* Anderson, D. R., Sweeney, D. J. An introduction to management science: quantitative approaches to decision making. South-Western.
Association in the course directory
Last modified: Mo 07.09.2020 15:29
Introduction to XPress-MP
Simplex Method (brief repetition)
Sensitivity Analysis & its economic interpretation
Advanced Modeling TechniquesThe classes will consist of a lecture part, a discussion of the homework assignments, and programming on the computers in the lab by the students.