Course: Data management and presentation in R language

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Course title Data management and presentation in R language
Course code ZOO/JAR
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Remeš Vladimír, prof. Mgr. Ph.D.
  • Harmáčková Lenka, Mgr. Ph.D.
Course content
This course is intended for biology students that want to master R language. This language is currently most commonly used environment for data management and analysis in many areas of biology, including zoology, botany, ecology or evolutionary biology. The contents of this course will consist of data management and their graphical presentation especially for the purpose of diploma theses. However, skills obtained in this course will be useful also later on in various jobs, including science, nature conservation or administration. Besides working with the R language, we will also learn general data management skills - how to store, process, use, and interpret them. Contents of the course: General - data in biology: obtaining, storing, processing; organization of projects; reproducible research R language - data structures in R; fromatting and sorting data; summarization and subsampling of data; graphical display, charts; preparation of text and graphical outputs for presentations; logic of data analysis in R

Learning activities and teaching methods
Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming), Demonstration
Learning outcomes
To teach students how to work in the R language environment.
Students will be able to: - process own data in the R language - interpret results of data analyses - prepare data and analysis outputs for presentation
Prerequisites
Basic computer skills.

Assessment methods and criteria
Analysis of Activities ( Technical works)

Students will be required to be able to process a data set.
Recommended literature
  • http://www.r-project.org.
  • Adler,J. 2012. R in a nutshell, 2nd ed. O'Reilly, Sebastopol.
  • Crawley, M.J. 2013. The R book, 2nd ed. Wiley, Chichester.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Zoology (2021) Category: Biology courses 1 Recommended year of study:1, Recommended semester: Winter