Ab 2. November 2020 findet das Herbstsemester 2020 online statt. Ausnahmen: Veranstaltungen, die nur mit Präsenz vor Ort durchführbar sind. Bitte beachten Sie die per E-Mail kommunizierten Informationen der Dozierenden.

Stefan Feuerriegel: Katalogdaten im Herbstsemester 2018

NameHerr Prof. Dr. Stefan Feuerriegel
LehrgebietWirtschaftsinformatik
Adresse
Professur f. Wirtschaftsinformatik
ETH Zürich, WEV G 201
Weinbergstr. 56/58
8092 Zürich
SWITZERLAND
Telefon+41 44 632 06 93
E-Mailsfeuerriegel@ethz.ch
URLhttp://mis.ethz.ch
DepartementManagement, Technologie und Ökonomie
BeziehungAssistenzprofessor (Tenure Track)

NummerTitelECTSUmfangDozierende
364-1064-00LInaugural Seminar - Doctoral Retreat Belegung eingeschränkt - Details anzeigen
Pre-registration upon invitation required.
Once your pre-registration has been confirmed, a registration in myStudies is possible.
1 KP1SF. von Wangenheim, S. Brusoni, B. Clarysse, S. Feuerriegel, R. Finger, P. Schmid
KurzbeschreibungThis 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.
LernzielThe 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 KPS. Feuerriegel
KurzbeschreibungThis course introduces to the Bayesian approach to statistical modeling and further covers on how to formulate and evaluate Bayesian models.
LernzielStudents 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.
LiteraturStudents 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.