Information Package / Course Catalogue - Adnan Menderes University

General Information Unit Staff Academic Information Programme Outcomes Course Structure Diagram Contact Information

Person Responsible for Information Package

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.	: 0
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)

Assoc. Prof. 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

1.	Tabachnick, B.G. ve Fidell, L.S. (2015). Use of multivariate statistics. Baloğu, M. (çev.). Ankara: Nobel.
2.	Aksakaoğlu G. (2001). Research Techniques and Analysis Methods in Health. Dokuz Eylül Üniversitesi Rektörlük Matbaası, İzmir.
3.	Arıkan R. (2000). Research Techniques and Report Writing. 3. Basım, Gazi Kitabevi, Ankara.
4.	Arseven A. (2001). Field Research Method. Principles, Techniques, Examples. 2. Baskı, Gündüz Eğitim Ve Yayıncılık. Ankara.
5.	Büyüköztürk Ş. (2005). Data Analysis Handbook for Social Sciences, Statistics, Research Design, SPSS Applications and Interpretation. Gözden Geçirilmiş 5. Baskı, Pegem Yayınları
6.	Hayran O. (2012). Research and Statistical Methods in Health Sciences. 1. Baskı, Rota tıp Yayınları.

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 - Theoretical

Introduction of data to SPSS, classification of data,

Week 6 - Theoretical

Frequency distributions and descriptive criteria

Week 7 - Theoretical

Classification of data, arithmetic mean, median, peak value, geometric mean, quarter and percentages

Week 8 - Practice

Prevalence criteria of distribution: variance and standard deviation, standard error, coefficient of variation and frequency distribution (Midterm)

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

Week 15 - Final Exam

Final exam

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Midterm Examination	1	%40
Final Examination	1	%60

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	14	2	2	56
Midterm Examination	1	20	1	21
Final Examination	1	20	1	21
TOTAL WORKLOAD (hours)				98

Contribution of Learning Outcomes to Programme Outcomes

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Person Responsible for Information Package