Bi9002c Biological Data Processing - practice

Faculty of Science
Spring 2003
Extent and Intensity
0/2/0. 0 credit(s) (fasci plus compl plus > 4). Recommended Type of Completion: z (credit). Other types of completion: zk (examination).
Teacher(s)
RNDr. Milan Baláž, Ph.D. (seminar tutor)
Guaranteed by
RNDr. Milan Baláž, Ph.D.
Department of Experimental Biology – Biology Section – Faculty of Science
Contact Person: Eliška Karasová
Prerequisites
Bi5040 Biostatistics - basic course && NOW( Bi9001 Statistical data analysis )
Basic knowledge of PC and spreadsheet (e.g. MS Excel).
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 12 student(s).
Current registration and enrolment status: enrolled: 0/12, only registered: 0/12, only registered with preference (fields directly associated with the programme): 0/12
fields of study / plans the course is directly associated with
Course objectives
Students of biology adopt the basic knowledge of statistic methods in course of Bi5040 Biostatistics. The main aim of this course is to demonstrate them practical usage of these methods. PC-based software Statistica 5.0 is used for this purpose. Students passing through the course, both the lectures and practice, should be able to evaluate experimental biological data. The course is suitable namely for the students working and preparing their Bc., MSc. or Ph.D. theses on experimental ground.
Syllabus
  • Data collecting. Organization of data within spreadsheets. PC-based statistical packages, Statistica software. Import of data from spreadsheet. Variable types, statistical distribution, kvantils, null hypothesis, 1st and 2nd type of error. Choosing appropriate statistical method. Contingancy tables, X2 test. Two sample analysis - F-test, t-test. One-way analysis of variance, homogeneity of variances, independence of residuals, data transformations, contrasts. Multiple analysis of variance, factorial and nested design, interaction, fixed and random effect models, mixed model. Between-groups and repeated measure factors. Covariance analysis. Correlation analysis, Pearson's and partial correlation coefficient. Regression analysis, linear and non-linear regression, multiple regression. Verbal interpretation of results, tabelar and graphical presentation of results.
Literature
  • Biological data analysis : a practical approach. Edited by John C. Fry. 1st pub. Oxford: Oxford University Press, 1993, 418 s. ISBN 0199633398. info
Assessment methods (in Czech)
Kurz je ukončen zkouškou, sestávající se z vypočtení tří zadaných příkladů, pokrývajících probíranou látku. V průběhu zkoušky jsou studentům k dispozici veškeré jejich poznámky i studijní literatura. Zkoušena není znalost vzorců či schopnost memorování, nýbrž pochopení podstaty jednotlivých statistických metod a jejich aplikace.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
The course is taught annually.
The course is taught: every week.
General note: Předpokladem k zapsání jsou alespoň základní znalosti práce s PC a s tabulkovým procesorem (např. MC Excel).
Information on course enrolment limitations: Omezení počtu zapsatelných studentů je dáno omezenou kapacitou počítačové učebny.
  • Enrolment Statistics (recent)
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