365-1142-00L  Understanding Human Behavior - Research and Business Insights

SemesterAutumn Semester 2020
LecturersS. Andraszewicz, B. J. Bergmann
Periodicityyearly recurring course
Language of instructionEnglish
CommentExclusively for MAS MTEC students (third semester).


365-1142-00 VUnderstanding Human Behavior - Research and Business Insights
23.09.2020 / 30.09.2020 / 07.10.2020 at ETH and 13.11.2020 at SwissRe.
Wednesday: 18:00-21:00; Friday: 14:00-18:00.

The lecture takes place in class (not recorded).
13s hrs
23.09.18:15-21:00WEV F 109 »
30.09.18:15-21:00WEV F 109 »
07.10.18:00-21:00ON LI NE »
S. Andraszewicz, B. J. Bergmann

Catalogue data

AbstractHuman capital is the most precious resource of every company, while customers are the backbone of a company’s functioning. This course demonstrates application of behavioral science theories to improve decision making within the company and to better understand its customers. In this course, psychology meets finance, data science and analytics to address practical business problems.
ObjectiveThe course objective is to provide a crash-course of behavioral economics and decision science with a special focus on aspects particularly important in business and international companies. The aim of the course will be to apply theoretical knowledge obtained during the classes at ETH in practical business cases stemming from ETH industry partners.
ContentThis block course is divided into three sessions:
1.Theory Part: Students get familiar with the Nobel-Prize winning theories, key concepts, models and findings in decision science and behavioral economics. The covered topics include judgment and decision making, heuristics, biases and heuristics, nudges, psychometrics, risk appetite elicitation, digital and physiological footprints of decisions, and impact of emotions and environment on decisions. The material will be aligned with relevant real-life examples that relate to important societal and business problems. The students will be introduced to the behavioral study design, behavioral analytics and research methods that can be applied in a business environment accounting for its advantages and limitations.
2. Business Insights Part: In this part students learn how the behavioral aspects enter into business processes, workflows and customer relations. An industry partner (Swiss Re) will present a business case related to behavioral science. Studetens challange these cases in gorups based on the theoretical part and guidace from lecturers. Students will form groups to solve the business case, using the knowledge acquired during the theoretical part of the course and relevant course material.
3: Final Presentation Part: This session will take place at the industry partner’s venue, where the students will present their business case solutions.

Attendance during the meetings and solving the business case are mandatory requirements for successful completion of the course. Course material includes the lecture slides and scientific papers.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits1 credit
ExaminersS. Andraszewicz, B. J. Bergmann
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationCredit points will only be assigned if the following criteria are met: Full attendance on both course days and completion of course assignments.

Learning materials

No public learning materials available.
Only public learning materials are listed.


No information on groups available.


Places20 at the most
PriorityRegistration for the course unit is only possible for the primary target group
Primary target groupMAS ETH in Management, Technology, and Economics (365000) starting semester 03
Waiting listuntil 18.09.2020
End of registration periodRegistration only possible until 04.09.2020

Offered in

MAS in Management, Technology, and EconomicsElectives, 1. and 3. SemesterWInformation