Tentalabbet

771A13 · 7.5 credits · Advanced level (A1N) · Computational Social Science

Behavioural Mechanisms in the Social Sciences

Active · next start HT 2026

76%

passed the latest ordinary exam

EXA2 · 28 Nov 2025 · 21 students

92%

passed the ordinary exams, all sittings over the last 5 years

EXA2 · 64 students

31%

Harder than 31% of courses at advanced level

Compared with 285 courses at the same level, ordinary exams over the last three academic years. 64 students.

Part of 1 programme

Exam

EXA2 Written exam

  • A
  • B
  • C
  • D
  • F

Ordinary exams

92% passed · 64 students

  • 76%21
  • 100%43

Re-exams

100% passed · 10 students

  • 100%5
  • 100%5
  • Pass the re-exam: 100% (10 students), compared with 92% (64 students) on the ordinary exam
  • Get B or A: 55% (74 students)

Other modules

Partial exams, hand-ins and labs. They are not part of the figures at the top.

Exam

EXA1 Final assignment

  • A
  • B
  • C
  • FX
  • F

Ordinary exams

98% passed · 89 students

  • 90%21
  • 100%49
  • 100%19

Re-exams

No sittings with at least 5 students.

  • Get B or A: 92% (89 students)
Show small sittings (2)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

  • 100%1
  • 100%1

Exam

HEM1 Take home exam

  • B

No sittings with at least 5 students.

Show small sittings (1)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

  • 100%1

Hand-in or lab

SEM1 Seminars

  • A
  • B
  • C
  • P

Main rounds

100% passed · 71 students

  • 100%49
  • 100%22

Later rounds

100% passed · 19 students

  • 100%19
  • Pass a later round: 100% (19 students), compared with 100% (71 students) on the ordinary exam
  • Get B or A: 73% (90 students)
Show small sittings (1)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

  • 100%1

Hand-in or lab

UPG1 Personal journal

  • P

Main rounds

100% passed · 22 students

  • 100%22

Later rounds

No sittings with at least 5 students.

    Other module

    GRP3 Group work

    • A
    • B

    Main rounds

    100% passed · 70 students

    • 100%21
    • 100%49

    Later rounds

    No sittings with at least 5 students.

    • Get B or A: 100% (70 students)

    Other module

    ESS3 Essay

    • A
    • B
    • C
    • D
    • E
    • FX
    • F

    Main rounds

    87% passed · 53 students

    • 93%27
    • 81%26

    Later rounds

    No sittings with at least 5 students.

    • Get B or A: 40% (53 students)
    Show small sittings (3)

    Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

    • 100%1
    • 100%1
    • 100%1

    Other module

    RES1 Responentship

    • P
    • F

    Main rounds

    93% passed · 27 students

    • 93%27

    Later rounds

    No sittings with at least 5 students.

      Other module

      OPP1 Opponentship

      • A
      • B
      • C
      • D
      • E
      • F

      Main rounds

      96% passed · 23 students

      • 96%23

      Later rounds

      No sittings with at least 5 students.

      • Get B or A: 35% (23 students)

      Other module

      GRP2 Group work

      • A
      • B

      Main rounds

      100% passed · 22 students

      • 100%22

      Later rounds

      No sittings with at least 5 students.

      • Get B or A: 100% (22 students)

      Other module

      SPRO Final project

      • E
      • F

      No sittings with at least 5 students.

      Show small sittings (2)

      Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

      • 0%1
      • 100%1

      About the course

      Aim

      After completion of the course, the student should at an advanced level be able to:

      • formulate explanations of behavior based on the underlying cognitive mechanisms;
      • evaluate compatibilities and incompatibilities between various mechanistic explanations of behavior;
      • generalize specific behaviors into larger theoretical frameworks to explain social action;
      • draw from various theoretical approaches to hypothesize specific behaviors under various social conditions;
      • construct theoretical models that link micro-level behaviors to macro-level outcomes.

      Content

      This course will explore a broad range of mechanisms to explain human behavior at the individual level. It covers rational choice explanations of action, heuristic decision-making, such as satisficing, and cognitive biases that influence behavior. The material is interdisciplinary and may draw from fields such as sociology, economics, psychology, and neuroscience. The focus is placed on the micro foundations of behavior, but presented within the context of linking the micro-actions of social actors to macro-social outcomes.

      Examiner
      Laura Fürsich
      Main field of study
      Computational Social Science
      Syllabus on Studieinfo ↗