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About Study Course

Department: Statistics Unit
Credit points / ECTS:2 / 3
Course supervisor:Ināra Kantāne
Study type:Full time, Part-Time
Course level:Bachelor
Target audience:Rehabilitation
Language:Latvian
Study course descriptionFull description, Full time, Part-Time
Branch of science:Mathematics; Theory of Probability and Mathematical Statistics

Objective

To get basic knowledge in data processing methods (descriptive statistics, inferential statistics to estimate differences), that can be used in bachelor's paper, analysis of scientific literature and research work in their specialty.

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 Excel and IBM SPSS Statstics 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 Excel and IBM SPSS Statistics;
* prepare data for statistical analysis correctly;
* choose appropriate data processing methods, incl., ability to do statistical hypothesis testing, correlation analysis;
* statistically analyse research data using computer programs Excel and IBM SPSS Statistics;
* create tables and graphs in Excel and IBM SPSS Statistics 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 Excel and IBM SPSS Statistics, practically use learned statistical basic methods to process research data.

Study course planning

Planning period:Year 2024, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Physiotherapy, RFFN9Bachelor’sRequiredVinita Cauce, Ināra Kantāne, Lāsma Asare, Silva Seņkāne
Nutrition, RFUN7Bachelor’sRequiredVinita Cauce, Ināra Kantāne, Lāsma Asare, Silva Seņkāne
Planning period:Year 2025, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Audiologopaedics, RFA4Bachelor’sRequiredDiāna Kalniņa, Ināra Kantāne, Vinita Cauce, Lāsma Asare, Ilze Balode
Occupational Therapy, RFE2Bachelor’sRequiredVinita Cauce, Lāsma Asare, Ināra Kantāne, Diāna Kalniņa, Ilze Balode
Physiotherapy, RFF4Bachelor’sRequiredDiāna Kalniņa, Ināra Kantāne, Vinita Cauce, Lāsma Asare, Ilze Balode
Orthotics and Prosthetics, RFO6Bachelor’sRequiredDiāna Kalniņa, Ināra Kantāne, Vinita Cauce, Lāsma Asare, Ilze Balode
Nutrition, RFU6Bachelor’sRequiredDiāna Kalniņa, Ināra Kantāne, Vinita Cauce, Lāsma Asare, Ilze Balode