Veidlapa Nr. M-3 (8)
Study Course Description

Statistical and Research Data Processing, Information and Communication Technologies

Main Study Course Information

Course Code
RAA_070
Branch of Science
Anatomy; Clinical medicine
ECTS
6.00
Target Audience
Medicine
LQF
Level 8

Study Course Implementer

Course Supervisor

Residency Speciality

Speciality
Supervisor of Medical Speciality
Contacts

-

About Study Course

Objective

To learn basic statistical and research data processing methods and be able to apply them in the processing of clinical data.

Learning Outcomes

Knowledge

1.Knowledge of data collection methods, research designs, data types, and basic statistical methods. Understanding the statistical and clinical importance of the obtained data.

Skills

1.Will be able to differentiate between different types of data, will know how to choose the right statistical method for data processing; Will be able to perform simple statistical tests; Will be able to perform statistical testing of hypotheses. Will be able to interpret the results of statistical tests.

Competences

1.Will be competent in statistical processing of data with simple methods. Analyses and plans available statistical methods. Evaluates and selects the most suitable research design and data processing method for the residency research paper.

Assessment

Individual work

Title
% from total grade
Grade
1.

Individual work

-
-
Attend and complete the tasks of data processing methods provided in the course.

Examination

Title
% from total grade
Grade
1.

Examination

-
-
Attendance at the course (60% of the total assessment) and the skills acquired during the course for solving tasks (40% of the total assessment).

Study Course Theme Plan

FULL-TIME
Part 1
  1. Seminar

Modality
Location
On site
Laboratory

Topics

Types of surveys in the field of occupational health
  1. Seminar

Modality
Location
On site
Laboratory

Topics

Research methodology in the field of occupational health and justification for choosing methods.
Total ECTS (Creditpoints):
6.00
Number of Residency Seminars:
2
Length (weeks):
4
Final Examination:
Residency exam (Theory and practice)

Bibliography

Required Reading

1.

Teibe U. Bioloģiskā ststistika. Rīga: LU Akadēmiskais apgāds, 2007.