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About Study Course

Credit points / ECTS:2 / 3
Course supervisor:Gunta Bēta
Course level:First level
Target audience:Nursing Science
Study course descriptionFull description
Branch of science:Mathematics; Theory of Probability and Mathematical Statistics

Objective

To get basic knowledge in data processing methods (descriptive statistics), that can be used in thesis work and in chosen specialty.

Prerequisites

Secondary school knowledge in mathematics and informatics.

Learning outcomes

Knowledge

After successful fulfilment of the requirements of a study course, students will have acquired knowledge that will allow:
1. Focus on using MS Office programs in Word, Excel, PowerPoint, and specialized data processing programs for SPSS.
2. To formulate basic principles for data analysis;
3. To interpret the most important statistical indicators in the nursing specialty.

Skills

As a result of learning a course, students will be able to:
1. Find and use sources of professional information (library, Internet);
2. to use the capabilities of MS Office programs in drawing up reports or research;
3. use and build databases in the SPSS environment;
4. to establish a questionnaire for a study on the speciality of any subject;
5. collecting, entering or applying data for processing;
6. to process data independently and analyse statistical indicators;
7. to construct graphics in MS Excel and SPSS environments;
8. to generalise the legal relationships resulting from the calculation of the speciality of nurses.

Competence

Take a decision on the use of appropriate data processing methods in the appropriate situation.

Study course planning

Course planning not avalible right now.