040894 PR KFK PM/SCM/TL: Practical Course LP-Modeling I (2010S)
Continuous assessment of course work
Labels
Block vom 03.03.2010-29.04.2010 08.30-12.00 Uhr Lab 3
http://prolog.univie.ac.at/teaching/LVAs/LP-PR/SS10/PartI/index.htm** Please note:
# 1st lecture takes place on WEDNESDAY, March 3 (8:30 - 12:00 in Lab6)
# all remaining sessions will take place on THURSDAY (8:30 - 12:00 in Lab3)
http://prolog.univie.ac.at/teaching/LVAs/LP-PR/SS10/PartI/index.htm** Please note:
# 1st lecture takes place on WEDNESDAY, March 3 (8:30 - 12:00 in Lab6)
# all remaining sessions will take place on THURSDAY (8:30 - 12:00 in Lab3)
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 Mo 08.02.2010 06:00 to Th 18.02.2010 16:00
- Registration is open from We 24.02.2010 13:00 to Fr 26.02.2010 16:00
- Deregistration possible until Su 14.03.2010 23:59
Details
max. 20 participants
Language: English
Lecturers
Classes
Currently no class schedule is known.
Information
Aims, contents and method of the course
Assessment and permitted materials
In order to pass the course you’ll need to complete the following tasks:* [30%] final exam - part I (theoretiacal stuff, written, individually, closed-book)
* [30%] final exam - part II (practical stuff, computer-based, individually, closed-book)
* [40%] homeworks (theoretical and practical in nature, Kreuzerlliste - for details see below)
o at least 50% of all assigned homeworks need to be prepared
o you will be picked randomly in order to present your homework at the beginning of class
o in case you fail to explain what you were supposed to prepare I'll discard all your
points for this particular homework.
o no hand-ins before or after class
* [30%] final exam - part II (practical stuff, computer-based, individually, closed-book)
* [40%] homeworks (theoretical and practical in nature, Kreuzerlliste - for details see below)
o at least 50% of all assigned homeworks need to be prepared
o you will be picked randomly in order to present your homework at the beginning of class
o in case you fail to explain what you were supposed to prepare I'll discard all your
points for this particular homework.
o no hand-ins before or after class
Minimum requirements and assessment criteria
The purpose of this course is to introduce students to mathematical programming which is extensively used in production and logistical management. In this course we will cover linear programming and prototype applications. Special emphasis will be given to linear programming modeling and its economic interpretation (duality theorem, complementary slackness, sensitivity analysis, etc.), and solving optimization methods using computers.
Students are expected to already know how to deal with Excel¿s optimization module to solve LP problems numerically, but later a state-of-the-art computer software, XPress-MP, will be introduced. Excel is fine for solving structurally simple and small scale problems, but for large scale and complex problems XPress is incomparable convenient. Therefore students are expected to be fluent in XPress by the end of this course.
Students are expected to already know how to deal with Excel¿s optimization module to solve LP problems numerically, but later a state-of-the-art computer software, XPress-MP, will be introduced. Excel is fine for solving structurally simple and small scale problems, but for large scale and complex problems XPress is incomparable convenient. Therefore students are expected to be fluent in XPress by the end of this course.
Examination topics
Students will learn how to develop linear models and implement them using XpressMP
Reading list
* Class Notes (electronic copies will be made available online)
* Applications of optimization with Xpress-MP, by Christelle Guéret, Christian Prins & Marc Sevaux
* An Introduction to Management Science (quantitative approaches to decision making), by Anderson and Sweeney
* Operations Research, by Hillier and Liebermann
* Applications of optimization with Xpress-MP, by Christelle Guéret, Christian Prins & Marc Sevaux
* An Introduction to Management Science (quantitative approaches to decision making), by Anderson and Sweeney
* Operations Research, by Hillier and Liebermann
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 Modelling Techniques