| Dozent/in |
Prof. Dr. Christian Peukert; Prof. Dr. Jan Pieper |
| Veranstaltungsart |
Vorlesung |
| Code |
HS231263 |
| Semester |
Herbstsemester 2023 |
| Durchführender Fachbereich |
Wirtschaftswissenschaften |
| Studienstufe |
Master |
| Termin/e |
Sa, 18.11.2023, 09:15 - 13:00 Uhr, 4.B54
Fr, 01.12.2023, 09:15 - 13:00 Uhr, 4.A05
Fr, 01.12.2023, 14:15 - 18:00 Uhr, 4.A05
Fr, 15.12.2023, 09:15 - 13:00 Uhr, 3.B55
Sa, 16.12.2023, 09:15 - 13:00 Uhr, Online
Fr, 22.12.2023, 09:15 - 13:00 Uhr, 4.B47 |
| Umfang |
2 Semesterwochenstunden |
| Turnus |
block course
|
| Inhalt |
The course is an introduction to business analytics. It covers managerial tools in both descriptive and predictive analytics using MS Excel.
In the first part of the course, we will focus on two main topics.
(1) How to formalize, structure, and optimize decision problems and
(2) how to structure and analyze large data sets.
In the second part, participants will develop an understanding of cases where causality is important and the cases where we can make predictions based on correlations. We will use simple experimental methods for the former, and simple predictive analytics methods for the latter.
Students will be evaluated based on individual homework assignments. The final grade is calculated as the average grade of all assignments with equal weighting.
|
| Lernziele |
To familiarize students with business analytics methods & tools. |
| Sprache |
Englisch |
| Anmeldung |
To attend the course / exercise, registration via e-learning platform OLAT is required. Registration is possible from 4 – 29 September 2023. The students themselves are responsible for checking the creditability of the course to their course of study.
Direct link to OLAT course: https://lms.uzh.ch/auth/repositoryentry/17413472686/coursenode/70448659388630 |
| Leistungsnachweis |
***IMPORTANT*** In order to acquire credits, resp. to take the examination, registration via the Uni Portal within the examination registration period is ESSENTIALLY REQUIRED. Further information on registration: www.unilu.ch/wf/pruefungen |
| Abschlussform / Credits |
Homework assignments / 3 Credits
|
| Hörer-/innen |
Nach Vereinbarung |
| Kontakt |
christian.peukert@unil.ch / jan.pieper@doz.unilu.ch |