Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Viviana Amati: Catalogue data in Spring Semester 2019

Name Dr. Viviana Amati
Address
Professur für Soziale Netzwerke
ETH Zürich, WEP H 14
Weinbergstr.109
8092 Zürich
SWITZERLAND
Telephone+41 44 632 20 81
E-mailviviana.amati@gess.ethz.ch
DepartmentHumanities, Social and Political Sciences
RelationshipLecturer

NumberTitleECTSHoursLecturers
851-0252-04LBehavioral Studies Colloquium Information 0 credits2KU. Brandes, V. Amati, H.‑D. Daniel, D. Helbing, C. Hölscher, M. Kapur, R. Schubert, C. Stadtfeld, E. Stern
AbstractThis colloquium offers an opportunity for students to discuss their ongoing research and scientific ideas in the behavioral sciences, both at the micro- and macro-levels of cognitive, behavioral and social science. It also offers an opportunity for students from other disciplines to discuss their research ideas in relation to behavioral science. The colloquium also features invited research talks.
ObjectiveStudents know and can apply autonomously up-to-date investigation methods and techniques in the behavioral sciences. They achieve the ability to develop their own ideas in the field and to communicate their ideas in oral presentations and in written papers. The credits will be obtained by a written report of approximately 10 pages.
ContentThis colloquium offers an opportunity for students to discuss their ongoing research and scientific ideas in the behavioral sciences, both at the micro- and macro-levels of cognitive, behavioral and social science. It also offers an opportunity for students from other disciplines to discuss their ideas in so far as they have some relation to behavioral science. The possible research areas are wide and may include theoretical as well as empirical approaches in Social Psychology and Research on Higher Education, Sociology, Modeling and Simulation in Sociology, Decision Theory and Behavioral Game Theory, Economics, Research on Learning and Instruction, Cognitive Psychology and Cognitive Science. Ideally the students (from Bachelor, Master, Ph.D. and Post-Doc programs) have started to start work on their thesis or on any other term paper.
Course credit can be obtained either based on a talk in the colloquium plus a written essay, or by writing an essay about a topic related to one of the other talks in the course. Students interested in giving a talk should contact the course organizers (Ziegler, Kapur) before the first session of the semester. Priority will be given to advanced / doctoral students for oral presentations. The course credits will be obtained by a written report of approximately 10 pages. The colloquium also serves as a venue for invited talks by researchers from other universities and institutions related to behavioral and social sciences.
851-0252-19LApplied Generalized Linear Models3 credits2VV. Amati
AbstractGeneralized linear models are a class of models for the analysis of multivariate datasets. This class subsumes linear models for quantitative response, binomial models for binary response, loglinear models for categorical data, Poisson models for count data. Models are presented and practiced from a problem oriented perspective using applications from the social, economic and behavioural sciences.
ObjectiveThe aim of this course is to acquire knowledge about generalized linear models and a practical understanding of how to apply these models. Further objectives for the course participants are to be able to choose the most suitable methods to analyse multidimensional datasets, to perform the analysis using the statistical software R, and to critically assess the results obtained.