LEARNING OUTCOMES
After completing this course, the student
1. knows the key 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 the behaviour of real decision-makers may differ from the behaviour that these models would predict, and
4. knows how to use optimization methods in conjunction with decision analysis.
Credits: 5
Schedule: 03.09.2024 - 12.12.2024
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
Study Material
valid for whole curriculum period:
Lecture slides and materials from exercise sessions.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
1 No Poverty
3 Good Health and Well-being
4 Quality Education
6 Clean Water and Sanitation
7 Affordable and Clean Energy
8 Decent Work and Economic Growth
9 Industry, Innovation and Infrastructure
11 Sustainable Cities and Communities
12 Responsible Production and Consumption
13 Climate Action
15 Life on Land
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language: English
Teaching Period: 2024-2025 Autumn I - II
2025-2026 Autumn I - II