Course ID: 
BBISE>STATPACK 
Course title: 
STATISTICAL PACKAGES 
Semester: 
Winter 
ECTS: 
5 
Lectures/Classes: 
15 / 30 hours 
Field of study: 
Bioinformatics 
Study cycle: 
1st cycle 
Type of course: 
compulsory 
Prerequisites: 

Contact person: 
prof. dr hab. Joanna Szyda joanna.szyda@upwr.edu.pl 
Short description: 
Presentation of three packages for statistical data analysis with regard to their use in the operating systems Windows and Linux. 
Full description: 
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 
Bibliography: 
1. http://support.sas.com/documentation/onlinedoc/91pdf/index.html; 2. https://cran.rproject.org/manuals.html 
Learning outcomes: 
Knowledge: Knows how to interpret results of biological analyses BI_W04, Has the knowledge allowing for the application of elementary mathematical and computer science tools to describe and interpret biological phenomena and processes BI_W14, Has the knowledge of elementary research techniques and tools used in mathematics, statistics, biology to conduct experiments and analysis of biological data BI_W15 Skills: Applies 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 BI_U01, 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 BI_U03, Applies basic mathematical and computer methods to describe and interpret the results obtained in the analysis of biological data BI_U07 Social competences: Is able to work in a group assuming different roles BI_K03 
Assessment methods and assessment criteria: 
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. 