ECTS
ECTS Course Catalogue
Course details
Course code: BŻS10010o16Semester: 2016/2017 summer
Name: Basics of Statistics
Major: Food Safety
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, prof. nadzw.
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: Students have knowledge of descriptive statistics, inferential statistics, correlation and regression as well as analysis of variance; know theoretical and practical aspects of statistical analysis of biological data. Skills: Students can use statistical methods and computer software to analyze data of biological origin, can interpret results of statistical analysis.
Competences: Students are aware of importance of permanent education.
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 when summarizing 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: Assessment methods: completion of practical training (computer lab) – students will write 3 tests; final grade will be calculated as arithmetic mean of the assessments of the tests; written exam – 90 minutes, minimum 60% of knowledge to pass
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