The course treats modeling of decisions by using decision trees and influence diagrams for models having one or more criteria, the latter being called multi-criteria models. Sensitivity analyses of the models are discussed. Representation of uncertainty is done by mathematical probability models comprising 1/3 of the total course. Finally, the value of information in models is treated.
ID1017 Decision and Risk Analysis 7.5 credits
This course has been discontinued.
Last planned examination: Spring 2000
Decision to discontinue this course:
No information inserted
Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus ID1017 (Spring 2010–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
The overall aim with the course is to give basic knowledge on applied decision theory and decision analysis, skills to structure and evaluate decision problems, and ability to analyze and judge different solutions.
After course completion, the student should be able to
- describe and handle different risk and decision theoretic concepts and models
- model and evaluate simple decision problems
- handle problems with multiple criteria
- elicit and handle model parameters
Literature and preparations
Specific prerequisites
No information inserted
Recommended prerequisites
No information inserted
Equipment
No information inserted
Literature
Preliminary:
Making Hard Decisions: An Introduction to Decision Analysis, Robert T. Clemen.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
A, B, C, D, E, FX, F
Examination
- INL1 - Assignment, 3.0 credits, grading scale: P, F
- SEM1 - Seminars, 1.5 credits, grading scale: P, F
- TEN1 - Written exam, 3.0 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
The course examination is in three parts:
Assignments
Seminars
Written exam
The grades on the written exam are A/B/C/D/E/Fx/F and on the assignments and seminars pass or fail (P/F).
The grade associated with the course is only based on the student's result on the written exam.
Students that failed on the written exam but are judged to be close to pass (grade Fx) will be given the opportunity to do an additional assignment to pass the exam (with grade E). The students that are in question for this will be informed as the result of the written exam is made public. These students then have three weeks to finish the additional assignment.
Opportunity to complete the requirements via supplementary examination
No information inserted
Opportunity to raise an approved grade via renewed examination
No information inserted
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Main field of study
Technology
Education cycle
First cycle
Add-on studies
No information inserted
Contact
David Sundgren, dsn@dsv.su.se, Institutionen för data- och systemvetenskap, Stockholms universitet