| Course ID: | BBI-SE>PODSTAT |
| Course title: | ELEMENTS OF STATISTICS |
| Semester: | Spring |
| ECTS: | 5 |
| Lectures/Classes: | 30 / 30 hours |
| Field of study: | Bioinformatics |
| Study cycle: | 1st cycle |
| Type of course: | compulsory |
| Prerequisites: | |
| Contact person: | dr hab. Heliodor Wierzbicki heliodor.wierzbicki@upwr.edu.pl |
| Short description: | 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). |
| Full description: | Course contents: 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). |
| Bibliography: | J.Tukey, Explanatory Data Analysis. Reading, MA:Addison-Wesley, 1977. Eric Weissteinss World of Mathematics, http://mathworld.wolfram.com/http://mathworld.wolfram.com/ |
| Learning outcomes: | Knowledge: Students have knowledge of descriptive statistics, inferential statistics, correlation and regression as well as analysis of variance B1_W11, B1_W13, Students 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, students can interpret results of statistical analysis B1_U03, B1_U10, Social competences: Students correctly identify problems related to work and make correct decisions B1_K05 |
| Assessment methods and assessment criteria: | 60% of correct answers to pass. |