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#50683 / #2

Seit SS 2019

English

Risk and Uncertainty

6

Feufel, Markus

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät V

Institut für Psychologie und Arbeitswissenschaft

35321500 FG Arbeitswissenschaft

Human Factors

Kontakt


MAR 3-2

Feufel, Markus

markus.feufel@tu-berlin.de

Learning Outcomes

This module will enable students to differentiate, analyze and model different types of risk and uncertainty. Skills and Knowledge: Students will acquire basic knowledge and skills to differentiate existing probability concepts, understand their historical foundations and underlying ideas of man and evaluate their implications for psychological models of decision making, risk perception and communication in both theory and application. Competences and Applications: Students will be able to model risk and uncertainty in different work domains and, based on this, to derive and critically assess interventions aimed at improving informed decision making under risk and uncertainty. In particular, students will be able to: - apply principles of transparent risk communication. - model binary decision situations as a way to develop and evaluate work-related decision support interventions.

Content

- Existing definitions of risk versus uncertainty and different probability concepts - History of existing probability concepts - Ideas of man (Homo oeconomicus vs. Homo heuristicus) - Models of decision making under risk and uncertainty - Analysis and design or decision processes and support - Principles of risk communication and perception - Intervention under risk and uncertainty (“nudging” vs. “boosting”)

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Risiko und Unsicherheit / Risk and uncertaintyVL3532 L 357SoSeGerman2
Risiko und Unsicherheit / Risk and uncertaintyUE3532 L 358SoSeGerman2

Workload and Credit Points

Risiko und Unsicherheit / Risk and uncertainty (VL):

Workload descriptionMultiplierHoursTotal
Lecture15.02.0h30.0h
30.0h(~1 LP)

Risiko und Unsicherheit / Risk and uncertainty (UE):

Workload descriptionMultiplierHoursTotal
Exercise15.02.0h30.0h
30.0h(~1 LP)

Course-independent workload:

Workload descriptionMultiplierHoursTotal
Preparation for class and follow-up after class. Preparation for multiple choice exams and short essays.15.08.0h120.0h
120.0h(~4 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Basic knowledge and skills will be taught in an interactive classroom setting and may require preparatory reading at home. Concept, methods and applications taught in class will be discussed, critically evaluated and/or applied in small-group exercises. Students will report the results of practical exercises in short presentations.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Personal interest in concepts related to risk perception, risk communication and informed decision making under risk and uncertainty.

Mandatory requirements for the module test application:

No information

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

German

Test elements

NamePointsCategorieDuration/Extent
Multiple Choice questions on topics taught in class.50writtenmultiple, short exams with 5-15 questions
Two short essays on topics taught in class and/or exercise.50written2 x 2-3 pages

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt95.0pt90.0pt85.0pt80.0pt75.0pt70.0pt65.0pt60.0pt55.0pt50.0pt

Test description (Module completion)

No information

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

You may register for the class on Qispos.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  available

 

Literature

Recommended literature
Gigerenzer, G., Gaissmaier, W., Kurz-Milcke, E., Schwartz, L. M., & Woloshin, S. (2007). Helping Doctors and Patients Make Sense of Health Statistics. https://doi.org/10.1111/j.1539-6053.2008.00033.x
Thaler, R. H., & Sunstein, C. R. (2008). Nudge: improving decisions about health, wealth, and happiness. New Haven: Yale University Press.

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Human Factors (M. Sc.)219SS 2019WiSe 2023/24
Soziologie technikwissenschaftlicher Richtung (B. A.)11WiSe 2023/24WiSe 2023/24

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

No information