course-details-portlet

IØ8401 - Stochastic Optimization

About

Examination arrangement

Examination arrangement: Oral examination
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Oral examination 100/100 D

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 2020.

Learning outcome

Position and function within the study program:
The course is designed for PhD students of IØT and other departments who work with theoretical and practical optimization problems in different branches of industry and services with substantial uncertainty about problem data and other elements of problem formulation. The course is built upon optimization courses in IØT master program, knowledge of probability theory or similar knowledge.
The course will convey the following knowledge: The theoretical foundation necessary for formulation, analysis and solution of stochastic programming problems and relevant applications. The knowledge necessary to conduct research in the field of optimization under uncertainty.
The course will develop the following skills: Training to utilize optimization models for solution of planning and economic problems under uncertainty in energy, production, logistics, transportation, finance, telecom.
Other important learning objectives: Give training in implementation and use of relevant software for solution of optimization models under uncertainty.

Learning methods and activities

Lectures and exercises

Non-obligatory exercises

Course can be given in form of intensive lectures with several hours per day, several days per week, during limited number of weeks in semester.

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

Given at the beginning of semester.

Credit reductions

Course code Reduction From To
DIS1006 9.0
IØ8804 3.0 01.09.2015
IØ8803 3.0 01.09.2016
More on the course

No

Facts

Version: 1
Credits:  10.0 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2020

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Managerial Economics, Finance and Operations Research
  • Industrial Economics and Technology Management
  • Business Economics
  • Operations Research
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Industrial Economics and Technology Management

Phone:

Examination

Examination arrangement: Oral examination

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Autumn ORD Oral examination 100/100 D
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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