Programplaner og emneplaner - Student
MALKA220 Behavioral Economics Course description
- Course name in Norwegian
- Atferdsøkonomi
- Study programme
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Master's Program in Behavioral ScienceMaster’s Program in Behavioral Science - Specialisation in Innovation and ImplementationMaster’s Program in Behavioral Science - Specialisation in Concepts and ApplicationsMaster's Programme in Learning in Complex Systems, elective courses
- Weight
- 10.0 ECTS
- Year of study
- 2024/2025
- Curriculum
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FALL 2024
- Schedule
- Programme description
- Course history
-
Introduction
A grading scale of A (highest) to F (lowest).
If the exam is written by a group, each member of the group will receive the same grade.
Required preliminary courses
Admission to the study program
Learning outcomes
On successful completion of the course, the student has the following learning outcomes classified as knowledge, skills and competence:
Knowledge
The student can
- describe and discuss the main distinctions between neoclassical economics, behavioral economics and behavior analysis, and define behavioral economics and describe the origins
- define the concepts of Homo economicus and bounded rationality
- define the core concepts of discounting
- define "beliefs, biases and heuristics" and describe typical heuristics
- define core principles in game theory
Skills
The student can
- discuss discounting in relation to the standard economic model and behavioral economics
- describe and discuss the concepts of rule-governed and contingency shaped behavior in the light of discounting
- discuss how nudging can affect choice, and analyze nudging in behavioral analytic terms
- discuss the concept of selection at the behavioral and cultural level in relation to micro- and macroeconomics
- discuss ethical concerns when influencing choice in the field of behavioral economics
Competence
The student can
- present core principles of behavioral economics to others in a way that meets the requirements of professional scientific communication
- present core principles of behavioral economics to the Public
- discuss how behavior analysis can contribute to the field of behavioral economics
- present evidence based research from behavioral economics, and discuss different methods and Applications
- discuss how the field of behavioral economics can contribute to further understanding of choice behavior
Teaching and learning methods
10 credits overlap with MAPSD5100.
Course requirements
The following required coursework must be approved before the student can take the exam:
- Complete an online sequence consisting of 5 modules containing videos, texts, quizzes and/or short essay questions (up to 710 characters including spaces), within a given deadline.
Assessment
Portfolio exam that includes:
- Two individual written assignments submitted digitally, each with a maximum length of 9000 characters, including spaces. References are to be included in the 9000 characters.
Students may submit their exams in Norwegian, Swedish, Danish or English.
The students receive feedback once during the course on 1 of the written assignments before the portfolio is closed. The 2nd and last submission is without feedback during the course. All the components must be awarded a pass grade before the exam as a whole can be passed.
Weighting: One overall grade is awarded for the portfolio. Each assignment is weighted 50%.
In the case of a new exam: If the student fails one assignment, the one assignment is taken again. The final grade can be appealed
Permitted exam materials and equipment
All
Grading scale
Emnet gir innsikt i digitale kommunikasjonsformer, og handler om hvordan nettsider og digitale medier kan anvendes og virker i formidlingspraksiser. Digital formidlingspraksis kan for eksempel innebære å digitalisere fysisk materiale, presenterer og tilgjengeliggjøre samlinger via anbefalinger og søk, strømme fysiske arrangement og kommunisere direkte gjennom sosiale medier. Kritisk refleksjon rundt medienes virkemåte, bruk og relevans for ulike målgruppe står sentralt emnet.
Emnet undervises på norsk.
Examiners
Ingen forkunnskapskrav.