TIES6825 Risk, Performance and Decision Analysis (JSS29) (4 cr)

Study level:
Advanced studies
Grading scale:
Pass - fail
Responsible organisation:
Faculty of Information Technology
Curriculum periods:
2017-2018, 2018-2019, 2019-2020



This course unit covers risk, performance and decision modelling and analysis, including risk modelling and assessment, both single and multiple criteria decision modelling and analysis. Emphasis will be placed on the integrated applications of these methods and tools to performance and decision analysis. The aim is to familiarise students with the applications of decision modelling and performance analysis methodologies.

Completion methods

Lectures and seminars, exercises, exam/individual project

Learning outcomes

At the end of the course unit students should be familiar with concepts, methods and tools for risk assessment, decision tree analysis, and multiple criteria decision analysis, which they can apply to support decision making and deal with performance assessment and decision analysis problems. They should also be able to use appropriate software tools such as Excel and IDS Multicriteria Assessor.

Description of prerequisites

Basics in statistics and probability theory. Course is aimed at Master/PhD levels.

Completion methods

Method 1

Select all marked parts
Parts of the completion methods
Unpublished assessment item