CS

PřF:Bi8190 Visualization of biolog. data - Course Information

Bi8190 Visualization of biological data

Faculty of Science
Autumn 2018
Extent and Intensity
0/2. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Teacher(s)
Mgr. Vít Syrovátka, Ph.D. (seminar tutor)
Supervisor
Mgr. Vít Syrovátka, Ph.D.
Department of Botany and Zoology - Biology Section - Faculty of Science
Contact Person: Mgr. Vít Syrovátka, Ph.D.
Supplier department: Department of Botany and Zoology - Biology Section - Faculty of Science
Timetable
Mon 17. 9. to Fri 14. 12. Mon 11:00–12:50 A9-316
Prerequisites
Bi7560 Introduction to R || NOW ( Bi7560 Introduction to R )
A basic knowledge of R is recommended, ideally completing the Introduction to R Bi7560 Introduction to R before or during the course.
Advantageous is the completion of Bi5040 Biostatistics - basic course.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
Fields of study the course is directly associated with
Course objectives
The goal of the course is to make students familiar with common graphical mehots and their application in R, so that students are able to perform graphical data exploration and graphical summarization of research results.
Syllabus
  • 1) very basics of R and RStudio
  • 2) a bit of theory on the what a graph should contain
  • 3) bar-plots, line-plots, scatter-plots
  • 4) mapping of other variables into graphs
  • 5) how to work with colours
  • 6) summarization graphs - box plots, violin plots
  • 7) legend and annotations in graphs
  • 8) trellis graphs
  • 9) graphical display of models
  • 10) saving graphs and their fine tunning before print
Literature
  • http://www.cookbook-r.com/Graphs/
  • MURRELL, Paul. R graphics. Boca Raton, Fla.: Chapman & Hall/CRC, 2006. xix, 301. ISBN 158488486X. info
  • https://www.stat.auckland.ac.nz/~paul/RGraphics/rgraphics.html
Teaching methods
The class will be held in a computer room right in front of the computer. We will work in the R software using RStudio. At the beginning of each lesson a new method will be shortly presented after which students will exercise its application at their own computers.
Active attendance is not required but is strongly recommended.
Assessment methods
I plan to follow David Zelený's model of completion of the course, i.e.:
(1) 3 homeworks will be given, out of which 2 will be requested,
(2) students will present their graphical work on the last lesson.
However, I reserve the right to set up a practical in case the engagement of students in the class did not meet my expectations.
Language of instruction
Czech
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught once in two years.
Information on the per-term frequency of the course: v podzimním semestru sudých let (2016, 2018, ...).
Listed among pre-requisites of other courses
Teacher's information
http://vitsyrovatka.info/doku.php?id=visbiodat:cs:start
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2007, Spring 2008, Spring 2010, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2016.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2018/Bi8190