Information Package / Course Catalogue
Health Statistics and Computer Practice
Course Code: CGB416
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 2
Lab: 0
ECTS: 4
Objectives of the Course

It is to teach the gathering, organization, analysis, interpretation and decision making of the data necessary to examine a health issue.

Course Content

Collection of data, organization, analysis, interpretation and decision making

Name of Lecturer(s)
Lec. Gürkan GÜNAYDIN
Learning Outcomes
1.To have advanced conceptual and practical knowledge in the field of health statistics and to reach scientific information, to follow the literature
2.Evaluating the acquired knowledge and skills with a critical approach, determining learning needs, directing learning To be able to develop solutions based on evidence and research using health statistics in the field
3.To be able to transfer his / her scientific ideas and solution suggestions to problems in written and oral form and at the level required by his / her field. use statistics, computer, information and communication technologies
4.Decision making in accordance with ethical principles in all stages of research on a health subject
5.To be able to integrate the other courses taken in the education process to related subjects and to develop the ability of learning, reading, working and research independently.
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Basic definitions and concepts
Week 2 - Theoretical
Planning and types of scientific research,
Week 3 - Theoretical
Descriptive statistics
Week 4 - Theoretical
SPSS program, installation and menus
Week 5 - Practice
Introduction of data to SPSS, classification of data,
Week 6 - Practice
Frequency distributions and descriptive criteria, classification of data, arithmetic mean, median, peak value, geometric mean, quarter and percentages
Week 7 - Intermediate Exam
Midterm
Week 8 - Practice
Prevalence criteria of distribution: variance and standard deviation, standard error, coefficient of variation and frequency distribution
Week 9 - Theoretical
Theoretical distributions: Binomial distribution, Poison distribution, Normal distribution and properties of normal distribution, Sample confidence intervals and interpretations, Significance tests: measurement of data
Week 10 - Theoretical
Hypothesis, error level, sample size (number of subjects in groups),
Week 11 - Theoretical
Whether the studied group is dependent or independent, p and alpha values,
Week 12 - Theoretical
Test types and properties, statistical decision making process
Week 13 - Theoretical
Parametric and non-parametric statistical tests and key points for appropriate test selection
Week 14 - Theoretical
Correlation analysis, creating tables and graphs
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%20
Final Examination1%60
Practice1%20
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141249
Lecture - Practice141242
Midterm Examination1314
Final Examination1516
TOTAL WORKLOAD (hours)101
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
5
5
OÇ-2
5
5
OÇ-3
5
5
OÇ-4
5
5
OÇ-5
5
5
Adnan Menderes University - Information Package / Course Catalogue