Information Package / Course Catalogue
Health Statistic and Computer Applications
Course Code: HE304
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 2
Objectives of the Course

This course aims at to teach how to collect necessary data to investigate a health issue, and how to organise, analyze and interpret these data and how to make ultimate decision.

Course Content

Data collection, organization, analysis, interpretation and decision to be reached

Name of Lecturer(s)
Learning Outcomes
1.To have advanced conceptual and practical knowledge in the field of health statistics
2.To be able to access to scientific knowledge in the field of nursing and to follow the literature
3.To be able to evaluate acquired knowledge and skills critically, to specify learning needs and to develop a skill to manage learning
4.To be able to use the health statistics in his/her field to develop solutions based on scientific evidence
5.To be able inform relevant persons and institutions on issues related to health statistics
6.To be able to express ideas and proposals for the solutions to problems both in writing and orally
7.To be able to use statistics, computer, information and communication technologies as much as his/her field requires
8.To be able to acquire the habit of working in a team with other members of the health team approach; To integrate issues related to the education process, and independently of the other classes, learning, reading, study and research to develop the ability
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Biostatistics and concepts, the use of biostatistics in nursing
Week 1 - Preparation Work
Reading, research
Week 2 - Theoretical
The planning stages and types of scientific research
Week 2 - Preparation Work
Reading, research
Week 3 - Theoretical
SPSS program, setup and menus
Week 3 - Preparation Work
Reading, research
Week 4 - Theoretical
SPSS data entry, data classification,
Week 4 - Preparation Work
Reading, research
Week 5 - Theoretical
Frequency distributions and descriptive criteria, classification of data, arithmetic mean, median, peak value, the geometric mean, quarter, and the percentages
Week 5 - Preparation Work
Reading, research
Week 6 - Theoretical
Prevalence of the distribution measures: the variance and standard deviation, standard error, coefficient of variation, and solving problems related to the frequency distributions Theoretical distributions: binomial distribution
Week 6 - Preparation Work
Reading, research
Week 7 - Theoretical
Poisson distribution, normal distribution and normal distribution characteristics, Sample confidence intervals and their interpretation, Significance tests: measurement of the data format
Week 7 - Preparation Work
Reading, research
Week 8 - Theoretical
Hypotheses, error level, sample size (number of subjects in groups), surveyed the group to be dependent or independent of, p and alpha values, and characteristics of types of tests, statistical decision-making process, parametric and nonparametric statistical tests, and key points for the selection of appropriate test.
Week 8 - Preparation Work
Reading, research
Week 9 - Theoretical
Hypotheses, error level, sample size (number of subjects in groups), surveyed the group to be dependent or independent of, p and alpha values, and characteristics of types of tests, statistical decision-making process, parametric and nonparametric statistical tests, and key points for the selection of appropriate test.
Week 9 - Preparation Work
Reading, research
Week 10 - Preparation Work
Reading, research
Week 11 - Preparation Work
Reading, research
Week 12 - Theoretical
Analysis of Variance Four-eyed chi-square test, chi-square test a single variable layouts
Week 12 - Preparation Work
Reading, research
Week 13 - Theoretical
Correlation analysis Creating a Table and Graph
Week 13 - Preparation Work
Reading, research
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141128
Midterm Examination1628
Final Examination18210
TOTAL WORKLOAD (hours)46
Contribution of Learning Outcomes to Programme Outcomes