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Evaluation and Modeling of Experimental Datasets - OD0102132

Title:	Hodnocení a modelování experimentálních dat
Guaranteed by:	Katedra biologie a environmentálních studií (41-KBES)
Faculty:	Faculty of Education
Actual:	from 2018
Semester:	both
E-Credits:	2
Hours per week, examination:	0/0, other [HT]
Capacity:	winter:unknown / unknown (20) summer:unknown / unknown (20)
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	taught
Language:	Czech
Teaching methods:	full-time
Teaching methods:	full-time
Note:	course is intended for doctoral students only enabled for web enrollment priority enrollment if the course is part of the study plan you can enroll for the course in winter and in summer semester

Opinion survey results Examination dates WS schedule SS schedule Noticeboard

Annotation -

Last update: doc. RNDr. Vasilis Teodoridis, Ph.D. (21.10.2018)

The aim of the course is to introduce students to the principles of thinking during mathematical modeling and its implementation to problems in education. The entire course is focused on comprehension of principles, model application and correct result interpretation. Course graduates will be able to process data from own research work, interpret correctly the results and comprehend the importance of statistical assessment. All is being explained with the use of practical examples similar to those used in bachelor, master, dissertation theses and original expert / scientific publications.

Literature - Czech

Last update: doc. RNDr. Vasilis Teodoridis, Ph.D. (21.10.2018)

Doporučená: " Lepš, J. (1996). Biostatistika. Jihočeská univerzita, České Budějovice (a literatura tam citovaná)..
Doporučená: Gigerenzer G., Murray D.J.:. Cognition as Intuitive Statistics. Hills dale, NJ: Erlbaum. 1987.
Doporučená: Luce R.D., Raiffa H.:. Games and Decisions: Introduction and critical Survey. New York: Dover. 1989.
Doporučená: Ashby FG, ed. Multidimensional Models of Perception and Cognition. Hills dale, NJ: Erlbaum 1992.
Doporučená: Havránek, T.:. Statistika pro biologické a lékařské vědy. Academia, Praha. 1993.

Requirements to the exam -

Last update: doc. RNDr. Vasilis Teodoridis, Ph.D. (21.10.2018)

Student performance assessment
Combined exam

Syllabus -

Last update: doc. RNDr. Vasilis Teodoridis, Ph.D. (21.10.2018)

The content of the course varies according to the needs and test specifications of quantitative data of individual students´ projects. In general, the content includes the following topics: experimental and statistical hypothesis, random vectors, characteristics of random quantities, independence, random selection, interval estimates, parameter testing, testing with the use of the CLV, linear regression and variance analysis - ANOVA.