TVZ209 Statistics and Reporting in Health

5 ECTS - 2-2 Duration (T+A)- 3. Semester- 3 National Credit

Information

Unit ABDİ SÜTCÜ HEALTH SERVICES VOCATIONAL SCHOOL
MEDICAL DATA PROCESSING TECHNICIAN PR.
Code TVZ209
Name Statistics and Reporting in Health
Term 2026-2027 Academic Year
Semester 3. Semester
Duration (T+A) 2-2 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Öğr. Gör. AZİZE BATUN
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

The aim of this course is to provide basic knowledge and skills in the accurate collection, organization, analysis and interpretation of data in the field of health.

Course Content

Health data collection, data types, data collection tools, sampling methods, basic statistical concepts, graphs, measures of central tendency and spread, software used in health data analysis, health reporting and interpretation.

Course Precondition

None

Resources

Özdamar, K. (2022). Research and Data Analysis in Health Sciences. Nisan Bookstore. Arıkan, R. (2020). Research Methods and Techniques. Nobel Publishing

Notes

Aday, L. A. & Cornelius, L. J. (2006). Designing and Conducting Health Surveys. Jossey-Bass. Baş, T. (2023). Statistical Methods. Seçkin Publishing.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains data types and collection methods specific to the health field.
LO02 Classifies and organizes collected health data appropriately.
LO03 Analyzes health data using basic statistical methods.
LO04 Presents the obtained data with graphs and tables.
LO05 Interprets and reports analysis results in the field of health.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Defines the concept of health informatics.
PLO02 Bilgi - Kuramsal, Olgusal Explains the types and sources of health data.
PLO03 - Analyzes the processing, storage and sharing of health data
PLO04 - Summarizes the structure and function of health information systems.
PLO05 - Evaluates the effects of digitalization in healthcare.


Week Plan

Week Topic Preparation Methods
1 Introduction to health data and basic concepts Reading lecture note Öğretim Yöntemleri:
Anlatım
2 Data types and sources Reading lecture note Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 Data collection methods Reading lecture note Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
4 Survey and observation tools Reading lecture note Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
5 Sampling methods Reading lecture note Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Classification and organization of data Reading lecture note Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Graphical representation methods Reading lecture note Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Arithmetic mean, median, mode, standard deviation and variance Reading lecture note Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Using Excel in analyzing health data Reading lecture note Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Frequency tables and crosstabs Reading lecture note Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Preparing reports with health data Reading lecture note Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Interpretation of results Reading lecture note Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Measures of central tendency and dispersion Reading lecture note Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 General repetition and application examples Reading lecture note Öğretim Yöntemleri:
Alıştırma ve Uygulama
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 4 56
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 1 1
Final Exam 1 1 1
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 25.08.2025 03:23