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Short about study course

Department: Statistical Unit
Credit points / ECTS:2 / 3
Course supervisor: Ināra Kantāne
Study type:Nepilna laika, Pilna laika
Course level:Bachelor
Target audience:Rehabilitation
Language:Latvian
Study course description
Branch of science:Mathematics; Theory of Probability and Mathematical Statistics
Study course description

Objective

To get basic knowledge in data processing methods (descriptive statistics, inferential statistics to estimate differences), that can be used in bachelor's paper and in their speciality.

Prerequisites

Secondary school knowledge in Mathematics and Informatics.

Learning outcomes

Knowledge

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

Skills

Upon completion of this course, students 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., ability 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 programs with obtained results;
* correctly describe obtained research 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, using computer programs MS Excel and IBM SPSS, practically use learned statistical basic methods to process research data.

Study course planning

Planning period:Year 2020, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
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Physiotherapy4Bachelor’sRequiredInāra Kantāne, Māra GrēveSilva Seņkāne,
Physiotherapy8Bachelor’sRequiredSilva Seņkāne
Nutrition6Bachelor’sRequiredVinita Cauce
Planning period:Year 2020, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Nutrition7Bachelor’sRequiredVinita Cauce