Course - Stochastic Optimization - IØ8401
Stochastic Optimization
Lessons are not given in the academic year 2011/2012
About
About the course
Course content
The course provides knowledge of methods and models for optimization based decision support under uncertainty and risk
The course consists of three related parts:
- Theory
- Algorithms and software
- Applications in finance, production planning,
energy, telecommunications among others.
The course will be given next time Fall 2012 or Fall 2013.
Learning outcome
The objective of the course is to give introduction into planning and decision support under uncertainty and risk based on optimization technology and stochastic programming. Both dymanic and static problems will be considered. Introduction to optimization of simulation models will be given.
Learning methods and activities
Lectures and exercises
Non-obligatory exercises
Recommended previous knowledge
Master of Science, Industrial Economics and Technology Management, or similar
Required previous knowledge
Knowledge of linear and nonlinear optimization is essential. Such knowledge can be obtained through courses TIØ4120 Basic Operations Research or TIØ4126 Optimization and Decision Support or TIØ4130 Optimization Methods or similar.
Course materials
Lectures:
Alexei A. Gaivoronski: Stochastic Programming, Lecture Notes, NTNU, 2001-2010. Additional papers and books will be specified at the beginning of the course
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| DIS1006 | 9 sp | |
| IØ8803 | 3 sp | |
| IØ8804 | 3 sp |
Subject areas
- Business Economics
- Managerial Economics, Finance and Operations Research
- Industrial Economics and Technology Management
- Operations Research
Contact information
Department with academic responsibility
Department of Industrial Economics and Technology Management