ECTS
ECTS Course Catalogue
Course details
Course code: BIS10015o17Semester: 2017/2018 summer
Name: Basics of Statistics
Major: Bioinformatics
Study Type: first cycle
Course type: compulsory
Study Semester: 2
ECTS points: 5
Hours (Lectures / Tutorials / Other): 20 / 25 / 0
Lecturer: dr hab. Heliodor Wierzbicki
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. Contact person: dr hab. Heliodor Wierzbicki
Learning outcomes: Knowledge: - students have knowledge of descriptive statistics, inferential statistics, correlation and regression as well as analysis of variance [B1_W11], [B1_W13]; - know theoretical and practical aspects of statistical analysis of biological data [B1_W04], [B1_W14], [B1_W15]. Skills: - students can use statistical methods and computer software to analyze data of biological origin [B1_U01], [B1_U07], - can interpret results of statistical analysis [B1_U03], [B1_U10]. Personal and social competences (attitudes and behaviours): - students correctly identify problems related to work and make correct decisions [B1_K05].
Competences:
Prerequisites: mathematics, computer science
Course content: The overall purpose of the course is to provide students with theoretical background and practical skills concerning statistical methods used whensummarizing or describing a collection of data (descriptive statistics), data modelling, and then to draw inferences about the process under investigation (inferential statistics).
Recommended literature: Krysicki W., Bartos J., Dyczka W., Królikowska K., Wasilewski M. Rachunek prawdopodobieństwa i statystyka matematyczna w zadaniach. Statystyka matematyczna 2. Wydawnictwo Naukowe PWN SA. Warszawa 1998, 2003. J.Tukey, Explanatory Data Analysis. Reading, MA:Addison-Wesley, 1977. Eric Weissteins’s World of Mathematics, http://mathworld.wolfram.com/
Assessment methods: Zaliczenie ćwiczeń– odbędą się 3 pisemne sprawdziany po zakończeniu każdego z trzech omawianych działów statystyki (1. statystyka opisowa, 2. wnioskowanie statystyczne, 3. korelacja, regresja i analiza wariancji); ocena zaliczeniowa będzie średnią arytmetyczną ocen uzyskanych przez studenta.
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