Course syllabus Z-ZOOL - Zoology (FA - SS 2019/2020)


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Course code:
Z-ZOOL
Course title in Czech:
Zoology
Course title in English:
Zoology
Semester:
SS 2019/2020
Mode of completion and number of credits:
Exam (6 credits)
Mode of delivery and timetabled classes:
full-time, 2/2 (hours of lectures per week / hours of seminars per week)
Level of course:
bachelor
Course type:
optional
Type of delivery:
usual
Mode of delivery for our mobility students abroad: -- item not defined --
Language of instruction: English
Course supervisor:
Course supervising department:
Faculty:
Faculty of AgriSciences
Teachers:
prof. RNDr. Zdeněk Laštůvka, CSc. (examiner, lecturer)
Mgr. Jan Šipoš, Ph.D. (examiner, instructor, lecturer, supervisor)
Prerequisites: none
 
Timetable in this semester:
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Aim of the course and learning outcomes:
This course will provide to students: 1) Necessary basics informations for work in statistical interface R; 2) Necessary theoretical basis for the application of generalized linear models; 3) Knowledge enabling assessment of model quality and its correct interpretation. Students will gain practical knowledge in the field of modern procedures in the processing of zoological data and will be able to choose the right procedure for statistical analysis.
 
Course content:
1.
General introduction to work with statistical software R (allowance 6/0)
 
a.
Program installation and explaining the graphical interface
b.
Explanation of programming language syntax

2.
Problematic of general linear models and generalized linear models (allowance 2/0)
 
a.Model structure (linear predictor, link function, error distribution)
b.
Estimation methods (Least squares, Maximum likelihood)

3.
Introduction to exploratory data analysis (allowance 4/0)
 
a.
Problematic of model validation
b.
Problematic of model interpretation
c.
Data visualization

4.
Problematic of model complexity (allowance 1/6)
 
a.Overfitting
b.Collinearity

5.
Theory of GLM models with Poisson error distribution (allowance 2/0)
 
a.Model structure
b.
Model validation

6.
Problematic of under and overdispersion in GLM models. (allowance 1/0)
 
a.
Dispersion statistic
b.
Dispersion parameter

7.Problematic of GLM models with negative binomial error disribution (allowance 1/8)
 
a.
Model structure
b.
Model validation

8.
Problematic of GLM models with binomial error distribution (allowance 2/0)
 
a.
Model structure
b.
Model validation

9.
Problematic of GLM models with Gamma error distribution (allowance 4/6)
 
a.Model structure
b.
Model validation

10.
Solution of residual heteroskedasticity and collinearity for GLM models (allowance 5/6)
 
a.Generalized Least squares
b.
Covariance structure

11.
Revision of previous discussed subjects. (allowance 0/2)
Learning activities and teaching methods:
Type of teaching methodDaily attendance
practice26 h
seminar
26 h
preparation for exam
42 h
preparation for regular assessment
42 h
elaboration and execution of projects30 h
Total
166 h
 
Assessment methods:
Requirements: Compulsory participation in exercises; the course is completed by a practical exam on a computer in the form of statistical analysis of zoological data in the program R. The duration of the exam will be 60 minutes, to successfully pass the exam it will be necessary to achieve at least 60% of points.
 
Assessment criteria ratio:
Requirement type
Daily attendance
Total
0 %
 
Recomended reading and other learning resources:
Basic:
CRAWLEY, M. The R Book. United Kingdom: Wiley; 2 edition, 2012. 1076 p. ISBN 978-0-470-97392-9.
WALKER, N. -- ZUUR, A. -- IENO , E. Mixed Effects Models and Extensions in Ecology with R (Statistics for Biology and Health) . New York: Springer; 2009 edition, 2009. 580 p. ISBN 978-0-387-87458-6.
EVERITT , B. -- HOTHORN, T. A Handbook of Statistical Analyses Using R. USA: Chapman and Hall, 2006. 304 p. ISBN 978-1-58488-539-9.
CORE TEAM, R. The R Manuals .  [online]. 2020. URL: https://cran.r-project.org/manuals.html.

Recommended:
CRAWLEY, M. Statistics: An Introduction Using R . London, UK: Wiley; 2 edition, 2014. 345 p. ISBN 978-1-118-94109-6.

Course listed in study plans for this semester:
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Course listed in previous semesters:
Teaching place:
Brno


Last modification made by Ing. Michal Karhánek on 05/29/2020.

Type of output: