Sandra Andraszewicz: Catalogue data in Autumn Semester 2020

Name	Dr. Sandra Andraszewicz
Address	Chair of Cognitive Science ETH Zürich, RZ E 25 Clausiusstrasse 59 8092 Zürich SWITZERLAND
Telephone	+41 44 632 02 60
E-mail	sandraszewicz@ethz.ch
URL	http://www.sandraszewicz.com
Department	Humanities, Social and Political Sciences
Relationship	Lecturer

Number	Title	ECTS	Hours	Lecturers
365-1142-00L	Understanding Human Behavior - Research and Business Insights Exclusively for MAS MTEC students (third semester).	1 credit	1V	S. Andraszewicz, B. J. Bergmann
Abstract	Human 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.
Learning objective	The 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.
Content	This 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.
851-0252-05L	Research Seminar Cognitive Science Prerequisite: Participants should be involved in research in the cognitive science group.	2 credits	2S	C. Hölscher, S. Andraszewicz
Abstract	The colloquium provides a forum for researchers and graduate students in cognitive science to present/discuss their ongoing projects as well as jointly discuss current publications in cognitive science and related fields. A subset of the sessions will include invited external visitors presenting their research. Participants of this colloquium are expected to be involved in active research group.
Learning objective	Graduate student train and improve their presentation skills based on their own project ideas, all participants stay informed on current trends in the field and have the opportunity for networking with invited scholars.
851-0252-10L	Project in Behavioural Finance Number of participants limited to 40 Particularly suitable for students of D-MTEC	3 credits	2S	S. Andraszewicz, C. Hölscher, D. Kaszás
Abstract	In this seminar, students will study cognitive processes, behaviour and the underlying biological response to financial decisions. Research methods such as asset market experiments, lottery games, risk preference assessment, psychometrics, neuroimaging and psychophysiology of decision processes will be discussed. Financial bubbles and crashes will be the core interest.
Learning objective	This course has four main goals: 1) To learn about the most important topics within Behavioural Finance 2) To learn how to conduct behavioural studies, design experiments, plan data collection and experimental tasks 3) To learn about causes of market crashes, factors that influence them, traders' behaviour before, during and after financial crises 4) To investigate a topic of interest, related to behaviour of traders during market crashes. Additionally, the course gives to the students the opportunity to practice oral presentations, communication skills, report writing and critical thinking.
Content	The course provides an overview of the most important topics in Behavioural Finance. First part of the course involves reading scientific articles, which will be discussed during the seminar. Therefore, attendance is required to pass the course. Each week, a student volunteer will present a paper and the presentation will be followed by a discussion. After obtaining sufficient knowledge of the field, students will select a topic for a behavioural study of their own. The final assignment consists of preparing and conducting a small behavioural study/experiment, analysing the data and presenting the project in the final meeting of the class. Each student will write a scientific report of their study.
Lecture notes	Dear Student, Thank you very much for you interest in the course entitled "Project in Behavioral Finance". For a short introduction to Behavioral Finance and Behavioral Economics, I encourage you to watch this 4-minute video by a famous decision scientist Dan Airely: https://www.youtube.com/watch?v=wpMLYh-UIsA In this course, you will learn the most important topics related to making decisions under risk, impact of emotions, personality and individual differences on important decisions such as investment, managerial decision making, medical decision making etc. Also, you will have the opportunity to practice giving presentations. There is no exam nor compulsory reading in the course. You will learn based on presentations from others and interactive discussions. To successfully complete the course, in a group of 4, you have to do a project and attend the course. The projects will be based on the business cases provided by an industry partner. This semester, the projects will be related to forecasting and improving elicitation of the expert judgment. Expert judgment is a very important topic in various businesses involving high levels of uncertainty, and little data available to generate reliable quantitative predictions. I would like to share a few important pieces of information: - The first class will take place on September 23rd at 4:15 pm. Please, note, that this is in the second week of the semester. - Due to safety measures related to COVID-19 situation, the rooms will only be assigned at the beginning of the semester. You will receive another email informing you about the room. - The first two classes, September 23rd and September 30th will take place at the ETH. The classes from October 7th will take place over ZOOM. Therefore, we will implement hybrid learning. - The class on September 23rd is important. You will learn about the requirements and objectives of the course. - The course will conclude with final presentations of the solutions of the project. We will decide whether this event will take place online or at the ETH. I am very sorry that this is still unclear. This is related to the current uncertain situation related to COVID-19. I hope that you will enjoy the class. If you decide not to attend the class, please sign out of the course the latest by September 30th. I am looking forward to meeting all of you on September 23rd. Kind regards, Sandra Andraszewicz also on behalf of Daniel Kaszas and Christoph Hölscher