| Dozent/in |
Prof. Dr. Christian Peukert; Prof. Dr. Jan Pieper |
| Veranstaltungsart |
Vorlesung |
| Code |
HS261058 |
| Semester |
Herbstsemester 2026 |
| Durchführender Fachbereich |
Wirtschaftswissenschaften |
| Studienstufe |
Master |
| Termin/e |
Fr, 18.09.2026, 09:15 - 13:00 Uhr, 4.B01
Fr, 25.09.2026, 09:15 - 13:00 Uhr, HS 14
Do, 08.10.2026, 14:15 - 18:00 Uhr, 3.B55
Fr, 09.10.2026, 08:15 - 12:00 Uhr, 3.B57
Sa, 10.10.2026, 08:15 - 12:00 Uhr, 3.B57
Fr, 23.10.2026, 09:15 - 12:00 Uhr, 4.B01 |
| Umfang |
Blockveranstaltung |
| Turnus |
Block course
|
| Inhalt |
The course is an introduction to business analytics. It explores how businesses can create value with data.
In Prof. Peukert’s part of the course, the focus will be on two main topics:
(1) How to formalize, structure, and optimize decision problems and
(2) how to structure and analyze large data sets.
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.
In Prof. Pieper’s part, participants learn to think in terms of data use cases and explore six basic areas for data-driven business insights (i.e., 1. better decisions; 2. better understanding customers; 3. better services; 4. better products; 5. better processes; 6. monetizing data). More specifically, participants learn to break down the process of creating value with data into a structured sequence of actionable steps. These steps can be applied across all industries and all kinds of businesses, ranging from small "quick wins" to majorly transformational initiatives.
Participants 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 |
Binding registration takes place via the UniPortal; see notes below in the «Proof of Performance» field.
For course information and materials, registration on the OLAT e-learning platform is required from 31 August – 13 September 2026. The students themselves are responsible for verifying the course’s creditability towards their degree program.
Direct link to the OLAT course: https://lms.uzh.ch/url/RepositoryEntry/17903616239
|
| Leistungsnachweis |
***IMPORTANT*** To receive course credit and earn academic credits, registration via the Uni Portal from 31 August (starting at 9:00 a.m.) – 13 September 2026 is MANDATORY.
Late registrations and withdrawals will not be accepted. Once the registration period has ended, participation in the course is MANDATORY. If the course is not completed without a valid reason and without proper withdrawal (including supporting documentation; see the Exam Guidelines), the course will be considered failed (grade 1). |
| Abschlussform / Credits |
Homework Assignment (50%), Group Presentation (50%) / 3 Credits
|
| Hörer-/innen |
Nach Vereinbarung |
| Kontakt |
christian.peukert@unil.ch / jan.pieper@doz.unilu.ch |