Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
BIOSTATISTICS TSU116 2. Semester 3 + 0 3.0 4.0

Prerequisites None

Language of Instruction Turkish
Course Level Associate's Degree
Course Type Compulsory
Mode of delivery The course is taught with theoretical lectures and supported by visual aids.
Course Coordinator
Instructors Gökhan AYTEKİN
Assistants
Goals The purpose of this course is to provide the students explain the definitions and concepts related to biostatistics and also to provide the ability of data collection, summarization and analysis in basic level by theirselves completely and accurately
Course Content This course includes general concept of data and its properties, data acquisition methods, measurement and measurement methods. scale concept and scale types, data summarization methods, analysis methods and statistical concepts related to outcomes and interpretations.
Learning Outcomes 1) Define data concept and properties.
2) Have knowledge about measurement methods and scales and distinguish them.
3) Distinguish and effectively use data collection and summarization methods.
4) Distinguishes data analysis methods and uses them effectively.
5) Student produces accurate results from the analyzed data.
6) Publish and share results in appropriate ways.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Basic concepts and characteristics of these concepts of biostatistics Lecture; Question Answer; Problem Solving; Discussion; Demonstration
Brainstorming; Workshop
Problem Based Learning; Brain Based Learning 		Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
2. Week Data concept and properties of data Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Problem Based Learning; Brain Based Learning 		Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
3. Week Data concept and data properties Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Problem Based Learning; Brain Based Learning 		Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
4. Week Data resources and properties of these resources Lecture; Question Answer
Brainstorming
Brain Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)
5. Week Concept of measurement in Biostatistics Lecture; Question Answer; Discussion
Brainstorming
Brain Based Learning 		Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
6. Week Scales and their use Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Problem Based Learning; Brain Based Learning 		Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
7. Week Scales and their use Lecture; Problem Solving; Discussion
Brainstorming
Problem Based Learning; Brain Based Learning 		Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
8. Week Data summarization methods and their use Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Problem Based Learning; Brain Based Learning 		Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
9. Week Data summarization methods and their use Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Problem Based Learning; Brain Based Learning 		Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
10. Week Data analysis Lecture; Question Answer; Problem Solving
Brainstorming
Problem Based Learning; Brain Based Learning 		Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
11. Week Data analysis Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Problem Based Learning; Brain Based Learning 		Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
12. Week Methods of obtaining results and interpretation Lecture; Question Answer; Problem Solving; Discussion
Brainstorming
Problem Based Learning; Brain Based Learning 		Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
13. Week Methods of obtaining results and interpretation Lecture; Question Answer; Discussion
Brainstorming
Problem Based Learning; Brain Based Learning 		Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
14. Week Report findings Lecture; Question Answer; Discussion; Case Study
Brainstorming
Problem Based Learning; Brain Based Learning; Play Based Learning 		Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
15. Week Publishing methods Lecture; Question Answer; Discussion; Role Play; Demonstration
Brainstorming; Large Group Discussion
Scenario Based Learning; Brain Based Learning; Play Based Learning 		Activity (Web Search, Library Work, Trip, Observation, Interview etc.)

Sources Used in This Course
Recommended Sources
Biyoistatistik Prof. Dr İsmet KAN Nobel Yayın Dağıtım 2006

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 15 1
Work Hour outside Classroom (Preparation, strengthening) 15 1
Practice (Teaching Practice, Music/Musical Instrument Practice , Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice) 15 1
Midterm Exam 1 1
Time to prepare for Midterm Exam 1 50
Final Exam 1 1
Time to prepare for Final Exam 1 60
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
Quick Access Hızlı Erişim Genişlet
Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • ECTS credits and course workload