GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
DATA ACQUISITION AND ANALYSIS IN HEALTH SYSTEMS/5081309
Course Title: DATA ACQUISITION AND ANALYSIS IN HEALTH SYSTEMS
Credits 3 ECTS 8
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc.Prof.Dr. Mustafa Necmi İLHAN,MD, PhD, PhD
 -- WEB SITE(S) OF LECTURER(S)
  http://www.websitem.gazi.edu.tr/site/mnilhan
 -- EMAIL(S) OF LECTURER(S)
  mnilhan@gazi.edu.tr, mnilhan@hotmail.com
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Acquisition of knowledge and be able to develop behaviour about research methods
Field and clinical researchs
Evidence based medicine
Data collection anda analysis at scientific research
Descriptive statistics
Analytical statistics
Data presantation


 -- MODE OF DELIVERY
  Distance education
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course
 --COURSE CONTENT
1. Week  Research methods in health sciences
2. Week  Field studies
3. Week  Descriptive studies
4. Week  Analitical studies-1 Cross-sectional
5. Week  Analitical studies-2 Case-Control
6. Week  Analitical studies-3 Cohort
7. Week  Clinical studies
8. Week  Midterm exam
9. Week  Evidence based medicine and Critical atical reading
10. Week  Data collection methods-1 Interview methods
11. Week  Data collection methods-2 Records investigation methods
12. Week  Data presentation-1 Tables and Graphics
13. Week  Presantations
14. Week  Descriptive analysis
15. Week  Significance tests, analysis nonparametric and parametric tests
16. Week  Final exam
 -- RECOMMENDED OR REQUIRED READING
  1.Aksakaoğlu G, Sağlıkta Araştırma ve Çözümleme, 2006, Dokuz Eylül Üniversitesi Yayınları, Türkiye. 2.Dawson B, Trapp RG, Basic and Clinical Biostatistics 3rd ed., 2001, McGraw Hill Company, USA. 3.Greenberg RS at all., Medical Epidemiology 3rd ed., 2001, McGraw Hill Company, USA.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise.
 -- WORK PLACEMENT(S)
  ---
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
20
 Assignment
1
20
 Exercises
0
0
 Projects
1
20
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
60
 Contribution of Final Examination to Overall Grade  
40
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
 Reading
14
3
42
 Searching in Internet and Library
14
3
42
 Designing and Applying Materials
0
 Preparing Reports
8
3
24
 Preparing Presentation
5
2
10
 Presentation
1
3
3
 Mid-Term and Studying for Mid-Term
1
12
12
 Final and Studying for Final
1
20
20
 Other
0
 TOTAL WORKLOAD: 
195
 TOTAL WORKLOAD / 25: 
7.8
 ECTS: 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1-Improve and deepen their knowledge in the field at expert level based on Bachelor’s degree competenciesX
2-Understand the interaction between the disciplines related to the fieldX
3-Use the theoretical and applied knowledge that he/she acquires in thefieldX
4-Develop new knowledge combining the knowledge from the related disciplines and the knowledge in the fieldX
5-Analyze the problems in the field using scientific research methodsX
6- Identify a problem in the fieldX
7- Develop suggestions for the problems in the fieldX
8-Solves the problemX
9Evaluate solution results in terms of quality processesX
10-Develop new approaches and methods by taking responsibility in complex situations encountered in practice of the fieldX