HSP652 - BIOSTATISTICS IN PUBLIC HEALTH
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| BIOSTATISTICS IN PUBLIC HEALTH | HSP652 | 1st Semester | 3 | 0 | 3 | 6 |
| Prequisites | None | |||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Question and Answer Preparing and/or Presenting Reports Problem Solving Other: evaluation of article | |||||
| Instructor (s) | Lecturer Dr. Umut Arslan | |||||
| Course objective | To teach definition of basic statistical concepts and methods, to provide evaluation of article in the literature in terms of basic statistical methods | |||||
| Learning outcomes |
| |||||
| Course Content | Basic statistical concepts, biostatistics, descriptive statistics One variable table and graphs Multivariate table and graphs Probability and theoretical distributions Sampling distributions, inferential statistics and confidence intervals Introduction of hypothesis tests, one sample tests hypothesis tests: independent and dependent two sample tests hypothesis tests: independent and dependent k sample tests Measures of association and simple linear regression analysis Discussion | |||||
| References | 1. Olive Jean Dunn Virginia A. Clark, Basic statistics: a primer for the biomedical sciences , Fourth Edition, Published by John Wiley & Sons, Inc., Hoboken, New Jersey Published simultaneously in Canada, 2009 2. Alpar R. Spor Bilimlerinde Uygulamalı İstatistik. Nobel Yayın-Dağıtım, Ankara, 2001 3. Sümbüloğlu, Kadir. Sağlık alanına Özel İstatistiksel Yöntemler. Somgür Yayıncılık, Ankara, 2003. 4. Current articles | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Introduction of course content, basic statistical concepts, biostatistics, descriptive statistics |
| Week 2 | One variable tables and graphs |
| Week 3 | Multivariate table and graphs |
| Week 4 | Probability and theoretical distributions |
| Week 5 | Sampling distributions, inferential statistics and confidence intervals |
| Week 6 | Practice I and Assigment I |
| Week 7 | 1st Midterm Examination |
| Week 8 | Introduction of hypothesis tests, one sample tests |
| Week 9 | Hypothesis tests: independent and dependent two sample tests |
| Week 10 | Hypothesis tests: independent and dependent k sample tests |
| Week 11 | Practice II and Assigment II |
| Week 12 | 2nd Midterm Examination |
| Week 13 | Sampling Methods and sample size |
| Week 14 | Measures of association: Pearson correlation coefficient, Spearman correlation coefficient, Phi, Cramer V, Simple linear regression analysis |
| Week 15 | General Discussion |
| Week 16 | Final Exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 2 | 10 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 2 | 30 |
| Final exam | 1 | 60 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 4 | 40 |
| Percentage of final exam contributing grade succes | 1 | 60 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 2 | 28 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 2 | 15 | 30 |
| Midterms (Study duration) | 2 | 15 | 30 |
| Final Exam (Study duration) | 1 | 50 | 50 |
| Total Workload | 33 | 85 | 180 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Student has current knowledge on work place and environmental factors, working conditions and principles of protection and may develop this knowledge. | X | ||||
| 2. Student understands, interprets and evaluates interdisciplinary interaction on occupational health and safety. | X | ||||
| 4. Student has knowledge on statistical methods used in investigations and investigation methods in occupational health and safety. | X | ||||
| 5. Student uses theoretical and practical information regarding occupational health and safety. | X | ||||
| 6. Student identifies the health and safety problems of workers by using the information and skills obtained in occupational safety via suitable methods and tools and accordingly produces suggestions for solutions by developing policies and strategies. | X | ||||
| 7. Student plans, and conducts investigations on occupational health and safety, analyses the data. | X | ||||
| 8. Student participates in team work in the identification and solution of problems regarding occupational health and safety and shares knowledge on the issue. | X | ||||
| 9. Student evaluates international developments in occupational health and safety in the framework of national conditions. | X | ||||
| 10. Student acts in accordance with scientific and professional ethical principles in studies on occupational health and safety and in all kinds of academic studies. | X | ||||
| 11. Student carries out investigations, presentations and publications on the issue of occupational health and safety. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest