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Lecturer(s)
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Remeš Vladimír, prof. Mgr. Ph.D.
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Harmáčková Lenka, Mgr. Ph.D.
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Course content
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It should result in the ability to process own data with the help of common exploratory methods on PC, understand the results of data exploration, and prepare them for graphical presentation (talk, diploma thesis etc). We will focus on the understanding of the logic of the method and its practical mastering, not on theory of data analysis. Excercises will be done in freely available statistical programme R, which will strongly increase practical utility of the skills obtained. This programme is currently lingua franca of biological sciences and thus students will be able to use their skills at any lab they will come to later in their career.
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Learning activities and teaching methods
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Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming), Work with Text (with Book, Textbook)
- Attendace
- 24 hours per semester
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Learning outcomes
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Ability to process own data with the help of common statistical methods on PC
After attending the course, students will be able to: - Process own data using the R environment on PC - Explore own data using tabulation and graphics - Prepare data for presentations - Process data for the purpose of diploma thesis
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Prerequisites
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Mastery of PC and acquaitance with basic approaches in data processing.
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Assessment methods and criteria
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Written exam, Student performance
Students will get the credit by exploration and interpretation of a dataset presented by the lecturer.
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Recommended literature
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Materiály k jazyku R.
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Adler, J. (2012). R in a nutshell. Sebastopol, Calif: O'Reilly.
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Crawley, M. J. (2013). The R book. Chichester: John Wiley & Sons.
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Pekár, S., & Brabec, M. (2009). Moderní analýza biologických dat. vyd. Brno: Masarykova univerzita, 2020. ISBN 978-80-210-9622-6.. Praha: Scientia.
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