| Course ID: | BBI-SE>STATPACK |
| Course title: | STATISTICAL PACKAGES |
| Semester: | Winter |
| ECTS: | 4 |
| 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.r-project.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. |