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Short about study course

Department: Statistical Unit
Credit points / ECTS:2 / 3
Course supervisor: Ieva Reine
Study type:Pilna laika
Course level:Master's
Target audience:Medicine
Language:English, Latvian
Branch of science:Mathematics; Theory of Probability and Mathematical Statistics

Objective

To provide basic knowledge and skills in the planning of appropriate quantitative research, data mining and statistical data processing methods (descriptive statistics and inference statistics methods for the assessment of differences) necessary for the development of scientific research work and application of statistical indicators in their speciality.

Prerequisites

Secondary school level knowledge in Mathematics and Informatics.

Learning outcomes

Knowledge

The aim of the course is to provide basic knowledge and skills in the planning of appropriate quantitative research, data mining, statistical data processing methods (descriptive statistics and inference statistics methods for the assessment of differences) necessary for the development of scientific research work and application of statistical indicators in their specialty.
After completing the course, the students will have acquired the knowledge that will allow to:
* choose the most appropriate data collection method;
* recognise statistical terminology and basic methods used in various types of publications;
* manually implement commonly used data analysis methods;
* know the criteria for using data processing techniques;
* correctly interpret the most important statistical indicators.

Skills

As a result of study course acquisition students will be able to:
* choose appropriate data processing methods, including ability to perform statistical hypotheses testing;
* statistically process research data;
* correctly prepare data for statistical processing;
* create tables and charts with the obtained results.

Competence

Upon completion of this course, students will be able to argument and make decisions about statistical data processing methods, use them to achieve research aims.

Study course planning

Planning period:Year 2018, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Medicine7Master’sLimited choiceMāra Grēve, Madara Miķelsone, Andris Avotiņš
Medicine7Master’sLimited choiceUna Kojalo
Medicine8Master’sLimited choiceUna Kojalo
Planning period:Year 2019, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Medicine8Master’sLimited choiceMāra Grēve, Andris Avotiņš
Medicine8Master’sLimited choiceUna Kojalo
Medicine7Master’sLimited choiceUna Kojalo
Planning period:Year 2019, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Medicine7Master’sLimited choice
Medicine7Master’sLimited choice
Medicine8Master’sLimited choice
Planning period:Year 2020, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Medicine8Master’sLimited choice
Medicine8Master’sLimited choice
Medicine7Master’sLimited choice
Planning period:Year 2020, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Medicine7Master’sLimited choiceIeva Reine
Medicine8Master’sLimited choiceIeva Reine
Medicine7Master’sLimited choiceIeva Reine
Planning period:Year 2021, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Medicine8Master’sLimited choiceIeva Reine
Medicine7Master’sLimited choiceIeva Reine
Medicine8Master’sLimited choiceIeva Reine