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System Modeling and Optimization
Last Updated: 2026-02-05 15:14:42
Abstract
Introduction to models and methods for system optimization
Objective
1. Introduction to building and using quantitative models in a business / industrial environment 2. Introduction to basic optimization techniques (Linear Programming and extensions, network flows, stochastic models in inventory control and finance) 3. Discuss the integration of quantitative models into the managerial decision process
Content
The following topics are discussed: Systems and models, linear models and the importance of linear programming, duality theory and shadow prices, natural integrality and combinatorial optimization models (introduction to computational complexity theory). Stochastic models and its dominant role in inventory and supply chain management. If time permits we will give a short introduction to the theory of (real) options.
Resources
Lecture Notes
A script will be available.
Literature
Information about further literature will be given in the lecture.
Learning Materials (Links)
- Main link
- Information
General Information
- Language
- English
- Levels
- BSC , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 90 minutes
- Aids
- Lecture notes (script) and a handwritten resume of 8 pages.
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | System Modeling and Optimization |
|
2 h weekly |
| exercise | System Modeling and Optimization |
|
1 h weekly |
Offered In
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Optional and Recommended Core Courses (These courses are elecitve and recommended for the Specialization area Manufacturing and Economics.)
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Management, Technology and Economics Master ("Students meet Tutors" Welcome and Introduction to MSc MTEC ETH Monday, 24th september 07, 9-12h, room: HG G 60)
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