300164 UE Introduction to coding in R (UE): A hands-on approach (2021S)
Continuous assessment of course work
Labels
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 11.02.2021 08:00 to Th 25.02.2021 18:00
- Deregistration possible until We 31.03.2021 18:00
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Introductory online meeting (compulsory) on 4th of March, 11am via zoom. Please contact me shortly per email and I will send out the link to all participants. Email: alfredburian@gmx.at.
Blocked course:5.7.2021 - 9.7.2021
Every day from 09.10-17.00
- Monday 05.07. 09:00 - 17:00 Übungsraum 4
- Tuesday 06.07. 09:00 - 17:00 Übungsraum 4
- Wednesday 07.07. 09:00 - 17:00 Übungsraum 4
- Thursday 08.07. 09:00 - 17:00 Übungsraum 4
- Friday 09.07. 09:00 - 17:00 Übungsraum 4
Information
Aims, contents and method of the course
Needs to be attended together with “Introduction to coding in R (VO)”The aim of this course is to gain hands-on experience in the statistical software R.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 (e.g. log-response ratios, combinations of SDs), (iii) data visualization and (iv) most common statistical operations (focus on t-tests, ANOVA and regressions).At the end of this course, you should be comfortable working with R, putting you in a good position to process and analyze data collected for degree projects.
Assessment and permitted materials
Active participation (30%), submission of two scripts (70%)
Minimum requirements and assessment criteria
50% of total achievable points most be reached.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
Reading list
Association in the course directory
MEC-5, MBO 7, MZO W-9, MAN 3, M-WZB
Last modified: Sa 22.10.2022 00:29