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Short about study course

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

Objective

To get basic knowledge and skills in data processing methods (descriptive statistics, methods of inferential statistics to estimate differences between groups and relationships between variables), to use in scientific work.

Prerequisites

Secondary school background in mathematics and informatics.

Learning outcomes

Knowledge

After completion of this course, the student will demonstrate basic knowledge that allows to:
* recognise terminology used in statistics and basic methods used in different publications;
* know commonly used data processing tools in MS Excel and IBM SPSS;
* know data processing criteria of various statistical methods;
* interpret correctly the most important statistical indicators.

Skills

After completion of this course, the student will demonstrate skills to:
* input and edit data in computer programs MS Excel and IBM SPSS;
* prepare data for statistical analysis correctly;
* choose appropriate data processing methods, incl., will be able to do statistical hypothesis testing;
* statistically analyse research data using computer programs MS Excel and IBM SPSS;
* create tables and graphs in MS Excel and IBM SPSS programmes with obtained results;
* describe obtained research results correclty.

Competence

After completion of this course, students will be able to argument and make decisions about statistical data processing methods, use them to achieve research aims, using computer programs MS Excel and IBM SPSS, practically use learned statistical basic methods to process research data.

Study course planning

Planning period:Year 2018, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Dentistry3Master’sRequiredLāsma Asare, Maksims Mukāns, Eva Petrošina
Dentistry3Master’sRequiredLāsma Asare, Eva Petrošina
Planning period:Year 2019, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Dentistry3Master’sRequiredMāra Miķelsone, Māra Grēve, Andris AvotiņšMadara Miķelsone,
Planning period:Year 2019, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Dentistry3Master’sRequiredMaksims Mukāns, Māra Grēve, Eva Petrošina, Lāsma Asare
Dentistry3Master’sRequiredMāra Grēve
Planning period:Year 2020, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Dentistry3Master’sRequiredLāsma Asare, Eva Petrošina, Andris Avotiņš, Olga Rajevska, Madara Miķelsone, Māra Grēve
Planning period:Year 2020, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Dentistry3Master’sRequiredEva Petrošina, Maksims Mukāns, Lāsma Asare, Ināra Kantāne
Dentistry3Master’sRequiredLāsma Asare
Planning period:Year 2021, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Dentistry3Master’sRequiredEva Petrošina, Andris Avotiņš, Lāsma Asare