Code | MEE307 |

Name | Methods of Medical Statistics |

Status | Compulsory/Courses of Limited Choice; Courses of Free Choice |

Level and type | Undergraduate Studies, Academic |

Field of study | Medical Engineering |

Faculty | |

Academic staff | Aleksejs Kataševs |

Credit points | 2.0 (3.0 ECTS) |

Parts | 1 |

Annotation |
The course reviews general concepts of probability theory and mathematical statistics, as well as common statistical methods. The examples used within the framework of the course are taken from medical research. The course focuses on the development of students’ practical skills, herewith contains a large number of assignments.. |

Goals and objectives of the course in terms of competences and skills |
1. To provide knowledge on contemporary statistical methods and their applications in medicine; 2. To develop skills necessary for experimental data processing and reporting; 3. To enable students to use the methods of mathematical statistics in practice. |

Learning outcomes and assessment |
Ability to perform exploratory data analysis and use graphical techniques - Homework assignments (100% problem solving) Ability to apply common methods of mathematical statistics to data processing - Homework assignments (100% problem solving) Ability to use computer software for statistical calculations, including simulation of random variables and probability distributions - Homework assignments (100% problem solving) Ability to select appropriate data processing techniques and methods of mathematical statistics, draw conclusions concerning data behaviour and research results, as well as evaluate reliability of results - Homework assignments (100% problem solving). The written examination consists of 10 problems, each evaluated by 1 point for a fully explained and correct solution. |

Course prerequisites | Mathematics, Computer Science (at least competency in MS Excel) |

[Extended course information PDF]