| Dozent/in |
Dr. oec. Valentina Sontheim |
| Veranstaltungsart |
Vorlesung |
| Code |
HS261071 |
| Semester |
Herbstsemester 2026 |
| Durchführender Fachbereich |
Wirtschaftswissenschaften |
| Studienstufe |
Bachelor
Master |
| Termin/e |
Di, 22.09.2026, 14:15 - 16:00 Uhr, Online
Di, 06.10.2026, 14:15 - 18:00 Uhr, 4.B55
Di, 27.10.2026, 14:15 - 18:00 Uhr, 4.B55
Di, 03.11.2026, 14:15 - 18:00 Uhr, 4.B55
Di, 17.11.2026, 14:15 - 18:00 Uhr, 4.B55 |
| Umfang |
Blockveranstaltung |
| Turnus |
Block course |
| Inhalt |
This course aims to equip students with the basic data skills needed throughout their degree course and beyond. The course covers basic practical skills in gathering, preparing, and manipulating digital data for research purposes. Practical exercises and case studies from current research projects will deepen the concepts taught and train students in the basics of programming with data. The first part of the course covers theoretical concepts in handling digital data by focusing on different data structures and data formats. In the second part, students will learn to manipulate and prepare digital data for research purposes. Students will acquire basic programming skills with R in order to apply these practices with real-world datasets. |
| Lernziele |
At the end of the course, the students should be able to handle digital data for analysis purposes. Students will be able to import data into R and organize the data efficiently in data base structure. Students get familiar with best practices to gather, clean, and manipulate digital data for research purposes. They are capable of planning and managing the first steps of an empirical research project based on digital data. Finally, students acquire basic programming skills with R in the context of real-world data sets. |
| Voraussetzungen |
Master students and Bachelor students from the 5th semester. |
| 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/17903616245 |
| 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 |
take home exam (90%) / active participation (10%) / 3 Credits
|
| Hinweise |
First week is a kick-off session to discuss the structure of the course. |
| Hörer-/innen |
Nach Vereinbarung |
| Kontakt |
valentina.sontheim@unilu.ch |
| Literatur |
Data Manipulation with R by Phil Spector
Hands-On Programming with R by Garett Grolemund
R for Data Science by Hadley Wickham and Garett Grolemund |