300169 VO Introduction to coding in R (VO): A hands-on approach (2021S)
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).
Details
Language: English
Examination dates
- Wednesday 01.09.2021 09:45 - 10:45 Übungsraum 1.1 Mikroskopie 1, Biologie Djerassiplatz 1, 1.055, Ebene 1
- Wednesday 29.09.2021 09:45 - 10:45 Übungsraum 1.3 Mikroskopie 3, Biologie Djerassiplatz 1, 1.049, Ebene 1
- Friday 17.12.2021 09:45 - 10:45 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
Lecturers
Classes
Introductory online meeting 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.
4 online lectures in May, other lectures are blocked:5.7.2021 - 9.7.2021
Every day from 09.10-10.00 and 13:55-14:45 (lectures will be delivered in person, but streamed if necessary).
Information
Aims, contents and method of the course
Combination with “Introduction to coding in R (UE)” is strongly encouraged.The aim of this lecture to provide a practical introduction to 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
Written test on the topic of the lecture
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: Tu 24.01.2023 00:26