| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Biostatistics | Elective | Bachelor's degree | 3 | Fall | 2 |
Name of Lecturer(s)
Prof. Dr. Canan BAYDEMİR
Associate Prof. Dr. Sibel BALCİ
Learning Outcomes of the Course Unit
1) Learns the Definition of Statistics
2) Learn to Research in the Field of Health
3) Learns the Significance Concept
4) Learn to design analytical
5) Stand-alone analysis technique to learn
6) Learn to Do Statistical Tests
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||
| 1 | 2 | 3 | 4 | 5 | 6 | ||
| Learning Outcomes | |||||||
| 1 | High | Low | Low | High | Low | High | |
| 2 | High | Low | Low | High | Low | High | |
| 3 | High | Low | Low | High | Low | High | |
| 4 | High | Low | Low | High | Low | High | |
| 5 | High | Low | Low | High | Low | No relation | |
| 6 | High | Low | Low | High | Low | High | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
NONE
Course Contents
The content of the course, the introduction of statistical methods in the field of health, the areas in which they are used and their application are explained.
Weekly Schedule
1) Introducation of the course, giving a weekliy program, course resources. explain siystem. Basic statsitical definitions.2) Clinical research methods
3) Frequency tables amd descriptive criteria, the central and measures of dispersion.
4) Theoretical distrubutions
5) Indepedent sample t test
6) Dependent (paired) t test
7) Chi-square test
8) Mid Term
9) Significancy tests (ANOVA and LSD tests)
10) Correlation and regression analysis
11) Sample Problems and Solutions
12) Sample Problems and Solutions
13) Sample Problems and Solutions
14) Sample Problems and Solutions
15) Sample Problems and Solutions
16) Sample Problems and Solutions
17) Sample problems and solutions
18) Finaly
Recommended or Required Reading
1- ÖZDAMAR K. (2017): SPSS ile Biyoistatistik, Nisan Kitabevi, 9. Baskı
2- ÖZDAMAR K. (2015): Paket Programlar ile İstatistiksel Veri Analizi Cilt 1, Nisan Kitabevi
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Drill and Practice
4) Case Study
5) Lab / Workshop
6) Self Study
7) Problem Solving
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Work Placement(s)
Not Required