Course Detail

Course Description Course Outline Course Contribution to Program Qualifications Assessment Methods ECTS-Workload Detail Informations of the Course Numerical Data

Course Description

Course	Code	Semester	T+P (Hour)	Credit	ECTS
BIOISTATISTICS	YHEM2210100	Spring Semester	2+0	2	2

Course Program

Prerequisites Courses
Recommended Elective Courses

Language of Course	Turkish
Course Level	First Cycle (Bachelor's Degree)
Course Type	Required
Course Coordinator	Assist.Prof. Olcay ÖZEN
Name of Lecturer(s)	Assist.Prof. Olcay ÖZEN
Assistant(s)	Lecturer Kerem ERSİN
Aim	To give basic information of biostatistical methodology and to provide the basis for the upcoming research methods courses.
Course Content	This course contains; Definition of Statistics - Major Stages of Statistical Methodology - Statistics in Medicine and Health Sciences,Data collection and organization – Summarizing ,Descriptive statistics: Measures of central tendency: Averages – Analytical averages,Averages (cont’d.): Non-analytical averages,Descriptive statistics (cont’d.): Variation – Measures of Variation – Skewness – Measures of skewness,Descriptive statistics practical,The normal distribution and properties of the normal distribution – The standard normal distribution,The normal distribution and properties of the normal distribution – The standard normal distribution,Introduction to inferential statistics: Sampling and sampling techniques: Simple random sampling: Estimation of the population parameters,Simple random sampling (cont’d.): Estimation of the population mean,Simple random sampling (cont’d.): Estimation of the population mean,Correlation-Spearman and Pearson Correlation,Research Stages , Ethics in Research .

Course Learning Outcomes	Teaching Methods	Assessment Methods
1. Interpret descriptive statistics	16, 6, 9	A
2. Interpret tables and graphs	12, 6, 9	A
3. Sorts the data of the variable and variables	16, 9	A
4. Interprets normal distribution data	10, 6, 9	A
5. Writes hypotheses	16, 6, 9	A
6. Calculates the sample size	16, 9	A
7. Explains the basic concepts about Statistical Association Analysis.	6, 9	A
8. Explains Normal Distribution and its Properties	16, 9	A

Teaching Methods:	10: Discussion Method, 12: Problem Solving Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:	A: Traditional Written Exam

Course Outline

Order	Subjects	Preliminary Work
1	Definition of Statistics - Major Stages of Statistical Methodology - Statistics in Medicine and Health Sciences	Source 1 Page 6
2	Data collection and organization – Summarizing	Source 1 Pages 7-10
3	Descriptive statistics: Measures of central tendency: Averages – Analytical averages	Source 1 Pages 10-27
4	Averages (cont’d.): Non-analytical averages	Source 1 Pages 10-27
5	Descriptive statistics (cont’d.): Variation – Measures of Variation – Skewness – Measures of skewness	Source 1 Pages 10-27
6	Descriptive statistics practical	Source 1 Pages 10-27
7	The normal distribution and properties of the normal distribution – The standard normal distribution	Source 2 Pages 107-124
8	The normal distribution and properties of the normal distribution – The standard normal distribution	Source 2 Pages 107-124
9	Introduction to inferential statistics: Sampling and sampling techniques: Simple random sampling: Estimation of the population parameters	Source 2 Pages 107-124
10	Simple random sampling (cont’d.): Estimation of the population mean	Source 2 Pages 107-124
11	Simple random sampling (cont’d.): Estimation of the population mean	Source 2 Pages 107-124
12	Correlation-Spearman and Pearson Correlation	Source 2 Pages 107-124
13	Research Stages	Course Notes
14	Ethics in Research	Course Notes

Resources

Mebis notes

1- Sümbüloğlu, K., Sümbüloğlu, V. (2012). Biyoistatistik, İstanbul: Hatipoğlu Yayınları. 2- M.Şenocak, M. (2014). Biyoistatistik ve Araştırma Yöntemleri, İstanbul: Çağlayan Kitabevi 3- Prof. Dr. Osman Hayran, Prof. Dr. Hanefi Özbek (2017), "Sağlık Bilimlerinde Araştırma ve İstatistik Yöntemler (SPSS Uygulama Örnekleri ile Genişletilmiş 2. Baskı)"

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
No	Program Qualification	Contribution Level
No	Program Qualification	1	2	3	4	5
1	1. He/she has sufficient knowledge that allows meeting the health needs of person, family and community by individual and holistic approach and toward nursing process.
2	2. He/she has abilities related to carrying out nursing care in order to protect and improve the health and when health is destroyed.
3	3. He/she has general culture knowledge because of as being required contemporary person and vocation member.
4	4. He/she conducts the nursing care in accordance with scientific researches, evidence, improving technology and current health policies.
5	5. He/she carries out nursing practices in accordance with vocational essentials and standards.
6	6. He/she uses critical thinking, problem solving and decision making abilities in nursing care.
7	7. He/she give health education to the person, family and community and consultation.
8	8. He/she follows management activities in accordance with executive role as in individual and team member.
9	9. He/she takes roles in research, project and other activities as in collaboration with health team and other disciplines by consciousness for social responsibilities.
10	10. He/she reaches international literature by using a foreign language in nursing domain and communicates as written and verbal.
11	11. He/she improves a behavior that internalizes lifespan learning and open for improvement.
12	12. He/she communicates as written and verbal, effectively.
13	13. He/She is a model for colleagues and society by behaving as consonant with vocational essentials and values.

Assessment Methods

Contribution Level	Absolute Evaluation
Rate of Midterm Exam to Success		40
Rate of Final Exam to Success		60
Total		100

ECTS / Workload Table
Activities	Number of	Duration(Hour)	Total Workload(Hour)
Course Hours	14	2	28
Guided Problem Solving	4	2	8
Resolution of Homework Problems and Submission as a Report	0	0	0
Term Project	0	0	0
Presentation of Project / Seminar	0	0	0
Quiz	0	0	0
Midterm Exam	1	10	10
General Exam	1	14	14
Performance Task, Maintenance Plan	0	0	0
Total Workload(Hour)			60
*Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30=(60/30)**			2
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course