Veidlapa Nr. M-3 (8)
Study Course Description
Informatics and Statistical Methods
Course Code
LF_611
Branch of Science
Mathematics; Theory of probability and mathematical statistics
ECTS
3.00
Target Audience
Nursing Science
LQF
Level 5
Study Type And Form
Full-Time
Study Course Implementer
Course Supervisor
Gunta Bēta
Structure Unit Manager
Dita Role
Structural Unit
RSU Liepāja Branch
Contacts
-
About Study Course
Objective
To get basic knowledge in data processing methods (descriptive statistics), that can be used in thesis work and in chosen specialty.
Preliminary Knowledge
Secondary school knowledge in mathematics and informatics.
Learning Outcomes
Knowledge
1.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
1.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.
Competences
1.Take a decision on the use of appropriate data processing methods in the appropriate situation.
Assessment
Individual work
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Title
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% from total grade
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Grade
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|---|---|---|
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1.
Individual work |
-
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-
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1. Individual work with the literature – prepare to lectures according to plan.
2. Individual work in pairs – each student pair will receive a research data file (it is allowed to use their own research data) with previously defined research tasks. Students will statistically process data to reach defined tasks using descriptive statistics and inferential statistics methods, as well as to present obtained results in the last lecture, using defined formatting style.
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Examination
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Title
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% from total grade
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Grade
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|---|---|---|
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1.
Examination |
-
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-
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Participation in practical lectures. For every missed lecture – practical tasks and control questions about missed topic. After completion of this course – exam.
1. Written presentation of independent work (50%).
2. Exam – multiple choice test with theoretical questions in statistics (50%).
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Study Course Theme Plan
FULL-TIME
Part 1
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Lecture
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
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2
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Topics
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Introduction to statistics, the role of statistics in research process. Types of data.
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-
Class/Seminar
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
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2
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Topics
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Introduction to statistics, the role of statistics in research process. Types of data.
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-
Lecture
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
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2
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Topics
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Descriptive statistics in IBM SPSS.
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-
Class/Seminar
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
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2
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Topics
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Descriptive statistics in IBM SPSS.
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-
Lecture
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
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2
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Topics
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Frequency calculation and graphical presentation, calculation of descriptive statistics in the SPSS environment.
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-
Class/Seminar
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
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2
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Topics
|
Frequency calculation and graphical presentation, calculation of descriptive statistics in the SPSS environment.
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-
Class/Seminar
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
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2
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Topics
|
Frequency calculation and graphical presentation, calculation of descriptive statistics in the SPSS environment.
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-
Lecture
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
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2
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Topics
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Arithmetic actions and functions in the SPSS environment.
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-
Class/Seminar
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
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2
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Topics
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Arithmetic actions and functions in the SPSS environment.
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Lecture
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
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2
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Topics
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Elements of probability theory. Data breakdowns. Testing hypotheses. Comparing a single sample to a population.
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-
Class/Seminar
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
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2
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Topics
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Elements of probability theory. Data breakdowns. Testing hypotheses. Comparing a single sample to a population.
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-
Class/Seminar
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
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2
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Topics
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Elements of probability theory. Data breakdowns. Testing hypotheses. Comparing a single sample to a population.
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-
Class/Seminar
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
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2
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Topics
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Simultaneous analysis of two independent signs.
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Class/Seminar
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
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2
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Topics
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Analysis of the relationship between the two characteristics. Correlation and regression
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-
Class/Seminar
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
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2
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Topics
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Comparing two dependent groups by one characteristic. Comparing three and more dependent groups by one characteristic.
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-
Class/Seminar
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Modality
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Location
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Contact hours
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|---|---|---|
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On site
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Auditorium
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2
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Topics
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Simultaneous analysis of three and more independent signs. Multiple linear regression.
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Total ECTS (Creditpoints):
3.00
Contact hours:
32 Academic Hours
Final Examination:
Exam
Bibliography
Required Reading
1.
Teibe U. Bioloģiskā statistika. Rīga: LU 2007 - 156 lpp.
2.
Teibe U., Berķis U. Varbūtību teorijas un matemātiskās statistikas elementi medicīnas studentiem. Rīga, 2001 – 88 lpp.
Additional Reading
1.
Arhipova I., Bāliņa S. Statistika ekonomikā un biznesā, Datorzinību centrs, 2006 - 363 lpp.
2.
Arhipova I., Bāliņa S. Statistika ekonomikā. Risinājumi ar SPSS un Microsoft Excel. Mācību līdzeklis - Rīga: Datorzinību Centrs, 2003 - 352 lpp.
3.
Moore D. S. The Basic Practice of Statistics. - W. H. Freeman Publishers 2003 - 152 p.