Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

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.

Credits: 5

Schedule: 05.09.2023 - 14.12.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Ahti Salo

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    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 for whole curriculum period:

    Exam and assignments

Workload
  • valid for whole curriculum period:

    Contact hours 48 h. Attendance is not compulsory.
    Assignments 40h 
    Independent work 40h

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn I - II
    2023-2024 Autumn I - II

    Enrollment :

    Sisu (sisu.aalto.fi)