Decision Analysis I
The course introduces you to decision analysis in theory and practice.
It provides classical decision theory as well as modern extensions. It teaches you how to generate and handle basic decision parameters, and how to model and evaluate decision problems with one or several criteria.
The course covers the following parts:
- classical decision theory with preference models and value functions,
- decision modelling with decision trees and influence diagrams for decision problems under risk,
- probability theory and subjective probabilities, uncertainty regarding outcomes and probability values,
- sensitivity analysis and interval analysis,
- utility theory and risk attitudes,
- decisions with multiple objectives, conflicting objectives and multiple criteria and
- elicitation methods for values, utilities, probabilities and weights.
Teaching Format
The teaching activities consist of lectures, lessions and tutoring.
The language of instruction is English.
Assessment
The course is examined through:
- on-campus written exam and
- assignments.
Examiner
The schedule will be available no later than one month before the start of the course.
We do not recommend print-outs as changes can occur. At the start of the course,
your department will advise where you can find your schedule during the course.
Note that the course literature can be changed up to two months before the start of the course.
Course reports are displayed for the three most recent course instances.
Study counsellors
Visiting hoursPlease contact us via email if you want to book a meeting. We are available on Campus in Kista and via Zoom.
Phone hoursThursday 12.30–2 pm
Irregular office hoursFirst phone hours for spring 2026: Thursday 15 January
