Credits: 5

Schedule: 12.09.2016 - 21.10.2016

Teaching Period (valid 01.08.2018-31.07.2020): 

III-IV Spring (2018-2019, 2019-2020)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

After completing this course the student 
1. knows the central concepts in decision analysis, 
2. can structure and model problems with multiple attributes, decision dynamics and uncertainty for aiding decision-making, 
3. understands the assumptions underlying decision analytic models and why behavior of real decision makers may differ from the behavior that these models would predict, and 
4. knows how to use optimization methods in conjunction with decision analysis.

Content (valid 01.08.2018-31.07.2020): 

Models for decision making: subjective values, multi-objective decision making and optimization, group decision making, decision under uncertainty, dynamics of decision making.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Exam and assignments

Workload (valid 01.08.2018-31.07.2020): 

Contact hours 48 h. Attendance is not compulsory.
Assignments 40h 
Autonomous studies 40h

Study Material (valid 01.08.2018-31.07.2020): 

To be announced later

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

Mat-2.3134 Decision Making and Problem Solving P

Course Homepage (valid 01.08.2018-31.07.2020):

Prerequisites (valid 01.08.2018-31.07.2020): 

MS-C2105, MS-A05XX

Grading Scale (valid 01.08.2018-31.07.2020):