Course code:  ZZOOL 
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:  fulltime, 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:  
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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 method  Daily attendance  practice  26 h  seminar  26 h  preparation for exam  42 h  preparation for regular assessment  42 h  elaboration and execution of projects  30 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 9780470973929.  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 9780387874586.  EVERITT , B.  HOTHORN, T. A Handbook of Statistical Analyses Using R. USA: Chapman and Hall, 2006. 304 p. ISBN 9781584885399.  CORE TEAM, R. The R Manuals . [online]. 2020. URL: https://cran.rproject.org/manuals.html. 
  Recommended:  CRAWLEY, M. Statistics: An Introduction Using R . London, UK: Wiley; 2 edition, 2014. 345 p. ISBN 9781118941096. 


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