ECTS
ECTS Course Catalogue
Course details
Course code: BHS20306o17Semester: 2017/2018 summer
Name: Biostatistics
Major: Animal Science
Study Type: second cycle
Course type: compulsory
Study Semester: 1
ECTS points: 7
Hours (Lectures / Tutorials / Other): 30 / 30 / 0
Lecturer: prof. dr hab. Joanna Szyda
Language of instruction: Polish / English
The course taught in English if the group has ≥6 students. The course taught in Polish with a possibility of support in English if the group has <6 students
Learning outcomes: Knowledge: The student has extensive knowledge of applied statistics and research methodology. Skills: the student knows how to find, understand, analyze and use the informationcontained in breeding documentation. The student knows how to prepare oral presentations in Polish and foreign language, in the fields of science related to scientific disciplines relevant to animal breeding.
Competences: Student understands the need life long learning, is able to work in a team.
Prerequisites: -
Course content: Populations and samples, hypotheses testing, parameter estimation, experimental design, the most commonly used statistical tests, linear regression, nonlinear regression, determine the quality of the fit equation of linear and nonlinear regression, correlation, elements of statistical modeling, model selection, analysis of variance, analysis of covariance.
Recommended literature: 1. Collett, D. (1991) Modelling Binary Data, Chapmann and Hall 2. Draper, N.R., Smith, H. (1998) Applied Regression Analysis, Wiley 3. Hawkins, D. (2005) Biomeasurement. Understanding, analysing, and communicating data in the biosciences. Oxford University Press 4. Ruxton and Colegrave (2003) Experimental design for the life sciences. 5. Magiera, R. (2007). Modele i metody statystyki matematycznej. Oficyna Wydawnicza GiS 6. Krzyśko, M. (1996). Statystyka matematyczna. Wydawnictwo Naukowe Uniwersytetu im. Adama Mickiewicza w Poznaniu.
Assessment methods: One mark is given for the course, which includes lectures and labs depending on the number of students enrolled, the grade is based on: class attendance, activity during the classes and the individually assigned project.
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