Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
BIOSTATISTIC APPLICATIONS I 34234050 0 + 4 2.0 4.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery Powerpoint presentation
Course Coordinator
Instructors
Assistants
Goals Basic statistical concepts and methods, try to understand students with examples and practices specific to the field of health
Course Content Introduction to biostatistics and concepts, classification of data collection, complementary statistics
Learning Outcomes 1) Ability to interpret basic statistical problems on their own
2) He can comprehend and critically interpret the statistical solutions in the literature in his field.
3) Be aware of the importance of reaching the right data

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Introduction to biostatistics Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
2. Week Biostatistics and basic concepts Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
3. Week What is Data and its classification Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
4. Week Data collection methods Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
5. Week Editing tables and graphics Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
6. Week Probability and theoretical distributions Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
7. Week Midterm exam Question Answer
8. Week Sampling methods Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
9. Week Sampling methods Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
10. Week Statistical hypothesis tests Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
11. Week Statistical hypothesis tests Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
12. Week Case study Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
13. Week Case study Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
14. Week case study Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
15. Week Homework presentation Lecture; Question Answer; Discussion
Brainstorming
Problem Based Learning 		Homework Presentation (Including Preparation Time) Report (Including Preparation and presentation Time)
16. Week final exam Question Answer

Sources Used in This Course
Recommended Sources
Alpar, R., Uygulamalı İstatistik
Goldstein, A.,Biostatistics.
Sümbüllüoğlu, K., Sümbüllüoğlu, V. Biyoistatistik, Hacettepe Üniversitesi

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 2
Work Hour outside Classroom (Preparation, strengthening) 14 4
Homework 1 1
Presentation (Including Preparation Time) 1 10
Report (Including Preparation and presentation Time) 1 10
Midterm Exam 1 1
Time to prepare for Midterm Exam 1 10
Final Exam 1 1
Time to prepare for Final Exam 1 10
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