| Dozent/in |
Valentina Sontheim, MA |
| Veranstaltungsart |
Vorlesung |
| Code |
HS241135 |
| Semester |
Herbstsemester 2024 |
| Durchführender Fachbereich |
Wirtschaftswissenschaften |
| Studienstufe |
Bachelor
Master |
| Termin/e |
Di, 17.09.2024, 18:15 - 20:00 Uhr, HS 5
Di, 24.09.2024, 14:15 - 18:00 Uhr, HS 8
Di, 08.10.2024, 14:15 - 18:00 Uhr, HS 8
Di, 22.10.2024, 14:15 - 18:00 Uhr, HS 8
Di, 05.11.2024, 14:15 - 18:00 Uhr, HS 8 |
| Umfang |
2 Semesterwochenstunden |
| 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 |
To attend the course / exercise, registration via e-learning platform OLAT is required. Registration is possible from 2 – 27 September 2024. The students themselves are responsible for checking the creditability of the course to their course of study. |
| Prüfung |
***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 |
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 |