Bi8190 Vizualization of biological data

Faculty of Science
Spring 2007
Extent and Intensity
0/2. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Teacher(s)
Mgr. David Zelený, Ph.D. (seminar tutor)
Guaranteed by
Mgr. David Zelený, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: Mgr. David Zelený, Ph.D.
Timetable
Tue 15:00–16:50 COMPBR
Prerequisites
The class will build on the knowledge learned at Bi5040 Biostatistics - basic course, so student who has already passed this course will be advantaged. Further recommended courses: Bi6549 Processing basic botanical data, Bi7540 Data analysis in community ecology. Vizualization of biological data course is complementary to Bi7920 Analysis of biological data - both courses are focused on work with R program, but while Analysis of biological data is devoted to data analysis, Vizualization focuses on graphical presentation of the data.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 27 student(s).
Current registration and enrolment status: enrolled: 0/27, only registered: 0/27, only registered with preference (fields directly associated with the programme): 0/27
fields of study / plans the course is directly associated with
there are 7 fields of study the course is directly associated with, display
Course objectives
The class should teach you how to draw effective graphical output of your data. It's focused mainly on using R software, marginally will be mentioned also some specific graphical options of other programs (e.g. CanoDraw). The basic knowledge of S language (used in R program) is an advantage, but it's not conditional – in first two hours, using method of “simple idiot's guide” you will get familiar with basic syntax of this language and with basic work in R program to be able create graphical output. The training will proceed from the simple to more complicated methods: we will start with simple diagrams showing relationship of two variables, which would be much easier and faster done in Statistica (and you will wonder, what's all this business about). Step by step you will learn how to modify these diagrams and you will find that R program is really very flexible in sense of customizing the diagrams to perfectly fit your demands. In the end we will proceed to more special graphical methods as composite trellis diagrams or 3D ordination diagrams.
Literature
  • MURRELL, Paul. R graphics. Boca Raton, Fla.: Chapman & Hall/CRC, 2006, xix, 301. ISBN 158488486X. info
  • URL: http://www.stat.auckland.ac.nz/~paul/RGraphics/rgraphics.html
Assessment methods (in Czech)
Výuka bude probíhat v počítačovně v Řečkovicích. V průběhu kurzu budou zadány 2-3 samostatné práce. Na závěr kurzu si každý student vyzkouší zpracování vlastních nebo zapůjčených dat a poslední dvouhodinu věnujeme "workshopu" - každý si připraví krátkou prezentaci, ve které předvede výsledky svojí práce, s následnou diskusí na téma co mohlo být uděláno líp a co hůř. Na základě této prezentace bude udělován zápočet.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
Information on course enrolment limitations: kapacita je omezená velikostí počítačovny v Řečkovicích, ideální stav je jeden počítač - jeden student, v případě většího zájmu jeden počítač - dva studenti nebo rozdělení na dvě skupiny.
Teacher's information
http://sci.muni.cz/botany/zeleny/vizualizace
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2008, Spring 2010, Spring 2012, spring 2012 - acreditation, Spring 2014, Autumn 2016, Autumn 2018.
  • Enrolment Statistics (Spring 2007, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2007/Bi8190