Stefan Feuerriegel: Katalogdaten im Herbstsemester 2018 |
| Name | Herr Prof. Dr. Stefan Feuerriegel (Professor Ludwig-Maximilians Universität München) |
| Lehrgebiet | Wirtschaftsinformatik |
| sfeuerriegel@ethz.ch | |
| URL | http://mis.ethz.ch |
| Departement | Management, Technologie und Ökonomie |
| Beziehung | Assistenzprofessor (Tenure Track) |
| Nummer | Titel | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|
| 364-1064-00L | Inaugural Seminar - Doctoral Retreat  Pre-registration upon invitation required. Once your pre-registration has been confirmed, a registration in myStudies is possible. | 1 KP | 1S | F. von Wangenheim, S. Brusoni, B. Clarysse, S. Feuerriegel, R. Finger, P. Schmid | |
| Kurzbeschreibung | This 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. | ||||
| Lernziel | The 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 | ||||
| 364-1105-00L | Bayesian Data Science | 1 KP | S. Feuerriegel | ||
| Kurzbeschreibung | This course introduces to the Bayesian approach to statistical modeling and further covers on how to formulate and evaluate Bayesian models. | ||||
| Lernziel | Students 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. | ||||
| Literatur | Students 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. | ||||