ECTS
ECTS Course Catalogue
Course details
Course code: BIS10010o17Semester: 2017/2018 winter
Name: Statistical Packages
Major: Bioinformatics
Study Type: first cycle
Course type: compulsory
Study Semester: 3
ECTS points: 5
Hours (Lectures / Tutorials / Other): 15 / 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. Contact person: prof. Joanna Szyda
Learning outcomes: Knowledge: student knows how to interpret results of biological analyses; understands the importance of interdisciplinary knowledge of mathematics, physics, biophysics, chemistry, biochemistry necessary for an understanding of basic phenomena and natural processes; has knowledge of the fundamental problems inherent in bioinformatics; has knowledge of the basic concepts and terminology within the scope of mathematics and computer science; Knows basic methods of statistical analysis used in the description of biological problems; Has the knowledge allowing for the application of elementary mathematical and computer science tools to describe and interpret biological phenomena and processes; has the knowledge of elementary research techniques and tools used in mathematics, statistics, biology to conduct experiments and analysis of biological data. Skills: Studenta pplies basic techniques of computer science: can work in various operating systems, knows how to use various software applications, can create simple computer programs and design biological databases; Applies basic techniques and research tools in the field of mathematical statistics: knows how to formulate a correct hypothesis, knows how to select the appropriate statistical test, knows how to interpret test results, knows how to model biological data; Understands the literature on computer science in Polish; Uses available information sources, including electronic sources; Applies basic mathematical and computer methods to describe and interpret the results obtained in the analysis of biological data; Demonstrates the ability of correct inference based on data from various sources of natural sciences and mathematics; Applies mathematical language to describe biological phenomena; Describes biological processes by using bioinformatics tools.
Competences: Student is able to work in a group assuming different roles.
Prerequisites: -
Course content: The application of statistical packages, preparing figures, real data editing, the interpretation of results of the statistical data analysis, the interpretation of figures, elements of handling large data sets.
Recommended literature: Ekstrøm C.T., Sørensen H.: Introduction to Statistical Data Analysis for the Life Sciences, CRC Press 2010 http://support.sas.com/documentation/onlinedoc/91pdf/index.html cran.r-project.org/doc/contrib/Seefeld_StatsRBio.pdf
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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