Warning! The directory is not yet complete and will be amended until the beginning of the term.
270191 VU Introduction to R (2025S)
Continuous assessment of course work
Labels
MIXED
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Tu 04.02.2025 08:00 to Th 08.05.2025 23:59
- Deregistration possible until Th 08.05.2025 23:59
Details
max. 15 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 07.05. 16:00 - 19:00 Seminarraum Physik Sensengasse 8 EG
- Thursday 08.05. 16:00 - 19:00 Digital
- Wednesday 14.05. 15:00 - 20:00 Seminarraum 2, Währinger Straße 29 1.UG
- Thursday 15.05. 16:00 - 19:00 Digital
- Wednesday 21.05. 15:00 - 20:00 Seminarraum 11, Währinger Straße 29 2.OG
- Thursday 22.05. 16:00 - 19:00 Digital
- Wednesday 28.05. 15:00 - 20:00 Seminarraum 11, Währinger Straße 29 2.OG
- Wednesday 04.06. 16:00 - 19:00 Digital
- Thursday 05.06. 15:00 - 20:00 Seminarraum 2, Währinger Straße 29 1.UG
- Wednesday 11.06. 16:00 - 19:00 Digital
- Thursday 12.06. 15:00 - 20:00 Seminarraum 7, Währinger Straße 29 1.OG
- Wednesday 18.06. 16:00 - 19:00 Digital
- Wednesday 25.06. 15:00 - 20:00 Seminarraum 10, Währinger Straße 29 2.OG
- Thursday 26.06. 16:00 - 19:00 Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
Small scale project + oral evaluation + homework (bonus points).
All materials are allowed during the exam. Group work is not allowed.
All materials are allowed during the exam. Group work is not allowed.
Minimum requirements and assessment criteria
There are no prerequisites for this course. Participants are expected to bring their own laptops to class.Final assessment is based on working R implementation of the small scale project + positive oral evaluation. Homework is not mandatory but earns bonus points if correct; homework is submitted within one week after first announcement.
Examination topics
Content of the lectures
Reading list
Literature references to the scientific literature will be available on Moodle.
Association in the course directory
BC-CHE II-8, CH-CBS-05, Synthese
Last modified: Mo 27.07.2026 11:12
• Make simple plots
• Perform multiple operations in sequence, or at once
• Troubleshoot errors
• Exploratory data analysis
• Data wrangling
• Find help for functions
• Basic data modeling and interpretation of results
• Identify problems with your code/analysis (critical self-analysis)
• Format “clean” data and clean up “dirty” data