| Title | Time | Room | Instructor |
|---|---|---|---|
| A (very) basic introduction to R | 10.10.2022 13:15 - 14:30 (Mon) | Aigner, Ricarda Elbers, Jean | |
| A (very) basic introduction to R | 12.10.2022 13:15 - 14:30 (Wed) | Aigner, Ricarda Elbers, Jean | |
| A (very) basic introduction to R | 17.10.2022 13:15 - 14:30 (Mon) | Aigner, Ricarda Elbers, Jean | |
| A (very) basic introduction to R | 19.10.2022 13:15 - 14:30 (Wed) | Aigner, Ricarda Elbers, Jean | |
| A (very) basic introduction to R | 24.10.2022 13:15 - 14:30 (Mon) | Aigner, Ricarda Elbers, Jean | |
| A (very) basic introduction to R | 26.10.2022 13:15 - 14:30 (Wed) | Aigner, Ricarda Elbers, Jean | |
| A (very) basic introduction to R | 31.10.2022 13:15 - 14:30 (Mon) | Aigner, Ricarda Elbers, Jean | |
| A (very) basic introduction to R | 02.11.2022 13:15 - 14:30 (Wed) | Aigner, Ricarda Elbers, Jean | |
| A (very) basic introduction to R | 07.11.2022 13:15 - 14:30 (Mon) | Aigner, Ricarda Elbers, Jean | |
| A (very) basic introduction to R | 09.11.2022 13:15 - 14:30 (Wed) | Aigner, Ricarda Elbers, Jean | |
| A (very) basic introduction to R | 14.11.2022 13:15 - 14:30 (Mon) | Aigner, Ricarda Elbers, Jean | |
| A (very) basic introduction to R | 16.11.2022 13:15 - 14:30 (Wed) | Aigner, Ricarda Elbers, Jean | |
| A (very) basic introduction to R | 21.11.2022 13:15 - 14:30 (Mon) | Aigner, Ricarda Elbers, Jean | |
| A (very) basic introduction to R | 23.11.2022 13:15 - 14:30 (Wed) | Aigner, Ricarda Elbers, Jean |
Description:
As the course title says, this will be a very basic introduction to R for people with very little to no programming experience (in any language).
The course will give students a general feeling about how programming works, and how to use R to analyse and visualize data. Topics covered will include:
Introduction to programming: variables, functions, basic control structures
Basic arithmetic of vectors and matrices
Data structures, data manipulation, importing and exporting, basic visualization
Using packages, basic statistical functions...
Capacity:
3/25
Course Code:
C_OTH-1000_F22
Course instructor(s):
Jean Elbers
Ricarda Aigner
Course type:
Taught course
Course level:
Introductory
Secondary Track(s):
Biology
Chemistry & Materials
Computer Science
Data Science & Scientific Computing
Mathematics
Neuroscience
Physics
Course format:
On campus
Duration:
Half semester
ECTS:
2
Semester:
Fall 1
Target audience:
Students with little to no programming experience. For example, someone who knows already how a for loop or an if/else statement works is likely to be bored in this course!
Prerequisites:
None - students just need a laptop with R and RStudio installed
Teaching format:
Lectures/Home work
Assessment form(s):
There will be no exam but student have to be present in the classes and the homework will be evaluated (pass/fail)
Grading scheme:
Pass/fail
Course Category:
Credit Course
Academic Year:
AY 2022/23