Universität Wien FIND

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300164 UE Introduction to coding in R (UE): A hands-on approach (2021S)

3.00 ECTS (3.00 SWS), SPL 30 - Biologie
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first serve).

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 UZA 1, Biozentrum Althanstraße 14, Morphologie Z2.016 1.OG
Tuesday 06.07. 09:00 - 17:00 Übungsraum 4 UZA 1, Biozentrum Althanstraße 14, Morphologie Z2.016 1.OG
Wednesday 07.07. 09:00 - 17:00 Übungsraum 4 UZA 1, Biozentrum Althanstraße 14, Morphologie Z2.016 1.OG
Thursday 08.07. 09:00 - 17:00 Übungsraum 4 UZA 1, Biozentrum Althanstraße 14, Morphologie Z2.016 1.OG
Friday 09.07. 09:00 - 17:00 Übungsraum 4 UZA 1, Biozentrum Althanstraße 14, Morphologie Z2.016 1.OG

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%

Examination topics

Reading list


Association in the course directory

MEC-5, MBO 7, MZO W-9, MAN 3, M-WZB

Last modified: Tu 29.06.2021 10:09