Stefan Feuerriegel: Catalogue data in Autumn Semester 2018

Name Prof. Dr. Stefan Feuerriegel
(Professor Ludwig-Maximilians Universität München)
FieldManagement Information Systems
E-mailsfeuerriegel@ethz.ch
URLhttp://mis.ethz.ch
DepartmentManagement, Technology, and Economics
RelationshipAssistant Professor (Tenure Track)

NumberTitleECTSHoursLecturers
364-1064-00LInaugural Seminar - Doctoral Retreat Restricted registration - show details
Pre-registration upon invitation required.
Once your pre-registration has been confirmed, a registration in myStudies is possible.
1 credit1SF. von Wangenheim, S. Brusoni, B. Clarysse, S. Feuerriegel, R. Finger, P. Schmid
AbstractThis course is geared towards first and second-year doctoral candidates of MTEC. It is held as in a workshop style. Students attending this seminar will benefit from interdisciplinary discussions and insights into current and future work in business and economics research.
ObjectiveThe purpose of this course is to
- introduce doctoral candidates to the world of economics, management and systems research at MTEC
- make doctoral candidates aware of silo-thinking in the specific sub-disciplines and encourage them to go beyond those silos
- discuss current issues with regard to substantive, methodological and theoretical domains of research in the respective fields
364-1105-00LBayesian Data Science1 creditS. Feuerriegel
AbstractThis course introduces to the Bayesian approach to statistical modeling and further covers on how to formulate and evaluate Bayesian models.
ObjectiveStudents will gain the ability to
- understand the difference between frequentist statistics and Bayesian approaches
- formalize and implement Bayesian models in R/Stan.
- evaluate estimated models.
LiteratureStudents are asked to prepare Chapters 2 and 3 of the following book prior to the first course data:
Richard McElreath (2016). Statstical Rethinking: A Bayesian Course with Examples in R and Stan. CRC Press.