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Optimization of Agricultural Production Systems
Optimierung landwirtschaftlicher Produktionssysteme
Last Updated: 2026-02-05 15:34:30
Abstract
Introduction in to optimization of agricultural production systems with linear and non-linear programming models.
Objective
Students will be able to a) solve linear and non-linear optimization problems in the context of agricultural production; b) interpret the results; and c) critically discuss the economic implications.
Content
The course is an application of Operations Research (OR). First, the theory and application of linear programming (LP) is presented. Students will learn the underlying principles (Optimization, Duality, Simplex) and solve exercises in the context of agricultural production. In the second part of the course, the foundation of non-linear programming (NLP) is introduced (Lagrange, Kuhn-Tucker) and illustrated with various examples.
Resources
Lecture Notes
Textbook: Kaiser, H. M., and K. D. Messer. Mathematical programming for agricultural, environmental and resource economics. John Wiley and Sons, Inc, 2011.
General Information
- Language
- German
- Levels
- BSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Optimierung landwirtschaftlicher Produktionssysteme
Die genauen Unterrichtszeiten von ONLINE - Veranstaltungen werden von den Dozierenden kommuniziert.
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|
2 h weekly |
Offered In
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Electives (The electives listed are recommended. However, electives can be chosen from the complete course offer of the ETH Zurich and University of Zurich.)
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