Warning! The directory is not yet complete and will be amended until the beginning of the term.
300232 VU Introduction to coding in R (VU): A hands-on approach (2022S)
study design (Investigation Design)
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 Th 10.02.2022 08:00 to Th 24.02.2022 18:00
- Deregistration possible until Th 31.03.2022 18:00
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Obligatory introductory meeting: 3.3.2022; 10.00 am
Blocked course:
5 online lectures in May/June 2022 + Blocked course in August/ September (Group 1: 22.-26.8.2022; Group 2: 19.-23.9; every day from 09.00-16.30).
- Monday 22.08. 09:00 - 17:00 Seminarraum 1.5, Biologie Djerassiplatz 1, 1.012, Ebene 1
- Tuesday 23.08. 09:00 - 17:00 Seminarraum 1.5, Biologie Djerassiplatz 1, 1.012, Ebene 1
- Wednesday 24.08. 09:00 - 17:00 Seminarraum 1.5, Biologie Djerassiplatz 1, 1.012, Ebene 1
- Thursday 25.08. 09:00 - 17:00 Seminarraum 1.5, Biologie Djerassiplatz 1, 1.012, Ebene 1
- Friday 26.08. 09:00 - 17:00 Seminarraum 1.5, Biologie Djerassiplatz 1, 1.012, Ebene 1
- Monday 19.09. 09:00 - 17:00 Seminarraum 3.1, Biologie Djerassiplatz 1, 3.124, Ebene 3
- Tuesday 20.09. 09:00 - 17:00 Seminarraum 3.1, Biologie Djerassiplatz 1, 3.124, Ebene 3
- Wednesday 21.09. 09:00 - 17:00 Ort in u:find Details
- Thursday 22.09. 09:00 - 17:00 Seminarraum 3.1, Biologie Djerassiplatz 1, 3.124, Ebene 3
- Friday 23.09. 09:00 - 17:00 Seminarraum 3.1, Biologie Djerassiplatz 1, 3.124, Ebene 3
- Tuesday 27.09. 09:45 - 10:45 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
- Wednesday 28.09. 09:45 - 10:45 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
- Monday 12.12. 09:45 - 10:45 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
- Monday 23.01. 09:45 - 10:45 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
Information
Aims, contents and method of the course
Assessment and permitted materials
Exam (40%), active participation (20%), submission of one work example (40%).
Minimum requirements and assessment criteria
50% of total achievable points most be reached in all three categories mentioned above.Sehr gut 89-100%
Gut 76-88%
Befriedigend 63-75%
Genügend 50-62%
Nicht Genügend < 50%
Gut 76-88%
Befriedigend 63-75%
Genügend 50-62%
Nicht Genügend < 50%
Examination topics
Content of the 15 lectures - no coding is required for the written exam.Preliminary exam dates: 28.9., 12.12. and 23.1.2023
Reading list
Association in the course directory
MEC-5, MNB2, MBO 7, MZO W-9, MZO W3, MAN 3, M-WZB
Last modified: Th 11.05.2023 11:28
You will need no prior knowledge in R, an introduction to all basic terms and operations will be provided. However, participating students should have a basic understanding of statistics - we will focus on how to implement things and we will not cover mathematical background information.
Specific targets of the course are (i) data management, (ii) data summary and transformations, (iii) most common statistical operations (focus on t-tests, ANOVA and regressions) and (iv) data visualization in R.
At the end of this course, you should be comfortable working with R, putting you in a good position to process and analyse data collected for degree projects.