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About Study Course

Department: Statistical Unit
Credit points / ECTS:2 / 3
Course supervisor: Imants Kalniņš
Study type:Part time, Full time
Course level:Master's
Target audience:Social Welfare and Social Work
Language:Latvian
Branch of science:Mathematics; Theory of Probability and Mathematical Statistics

Objective

To provide knowledge of basic statistical methods use in statistic analysis and introduce to IBM SPSS.

Prerequisites

Basic knowledge in mathematics and informatics.

Learning outcomes

Knowledge

Upon successful acquisition of the course, students' knowledge will allow them to:
* recognise statistical terminology and basic methods used in scientific publications;
* know MS Excel, SPSS offered probabilities in data processing and visualising;
* know the criteria for using data processing methods;
* interpret the main statistical indicators.

Skills

Upon successful acquisition of the course, the students will be able to:
* set up and edit database in MS Excel and IBM SPSS;
* precisely prepare data for statistical analysis;
* choose correct data processing methods, that is to do statistical hypothesis;
* process data in MS Excel and IBM SPSS;
* create and edit tables, graphics in Excel and IBM SPSS;
* correctly describe the results.

Competence

Upon successful acquisition of the course, students will be able to decide what method to use for analysis and with the help of programs Excel and IBM SPSS analyse the data with the acquired knowledge.

Study course planning

Planning period:Year 2020, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Social work3Master’sRequiredImants Kalniņš
Social work3Master’sRequiredImants Kalniņš
Planning period:Year 2021, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Social work2Master’sRequiredImants Kalniņš
Social work2Master’sRequiredImants Kalniņš