Course Code	Semester	Course Name	LE/RC/LA	Course Type	Language of Instruction	ECTS
HEM6003	6	Biostatistics	2/0/0	CC	Turkish	2

Course Goals	Explaining the definition of biostatistics and to understand the importance of biostatistics in health care. Reliable statistical data to show the work in an efficient way to plan the course of health care are the main target
Prerequisite(s)	Course Code Course Name…
Corequisite(s)	Course Code Course Name…
Special Requisite(s)	The minimum qualifications that are expected from the students who want to attend the course.(Examples: Foreign language level, attendance, known theoretical pre-qualifications, etc.)
Instructor(s)	Assist. Prof. Dr. Yeliz Sevimli Saitoğlu
Course Assistant(s)
Schedule	Thursday-11:00-13:00/Şirinevler Campus-C1 Block-Classroom 3
Office Hour(s)	Thuesday -11:00-12:00/İncirli Campus-2A-05
Teaching Methods and Techniques	The problem solving with students on board and the computer by SPSS package program
Principle Sources	emel Biyostatistik, Prof.Dr. Mustafa Şenocak, Bioistatistik, Prof.Dr. Kadir Sümbüllüoğlu, Sağlık Alanına Özel İstatistiksel Yöntemler, Prof.Dr. Kadir Sümbüllüoğlu.
Other Sources	-

Course Schedules
Week	Contents	Learning Methods
1. Week	Definition of biostatistics, its importance, purposes and its use in health services, data types and data collection methods.	Lecture, Question and Answer, Discussion, Brainstorming
2. Week	Organizing data: series	Lecture, Question and Answer, Discussion, Brainstorming
3. Week	Descriptive Statistics	Lecture, Question and Answer, Discussion, Brainstorming
4. Week	Measures of Variability	Lecture, Question and Answer, Discussion, Brainstorming
5. Week	Probability Theory	Lecture, Question and Answer, Discussion, Brainstorming
6. Week	Discrete and Continuous Probability Distributions	Lecture, Question and Answer, Discussion, Brainstorming
7. Week	Sampling Methods	Lecture, Question and Answer, Discussion, Brainstorming
8. Week	Midterm
9. Week	Research Types: Observational and Experimental Studies	Lecture, Question and Answer, Discussion, Brainstorming
10. Week	Health-specific statistics	Lecture, Question and Answer, Discussion, Brainstorming
11. Week	Parametric Hypothesis tests	Lecture, Question and Answer, Discussion, Brainstorming
12. Week	Parametric Hypothesis tests	Lecture, Question and Answer, Discussion, Brainstorming
13. Week	Nonparametric Hypothesis tests: Chi-Square Test	Lecture, Question and Answer, Discussion, Brainstorming
14. Week	Regression and Correlation Analysis	Lecture, Question and Answer, Discussion, Brainstorming
15. Week	Final Exam
16. Week	Final Exam
17. Week	Final Exam

Assessments
Evaluation tools	Quantity	Weight(%)
Midterm(s)	1	40
Final Exam	1	60

Program Outcomes PO-1 Has the current theoretical knowledge required by the nursing profession. PO-2 Has the practical skills to meet the health needs of individuals, families, groups and society with a holistic and humanistic approach. PO-3 Applies quality and evidence-based nursing care process while meeting the health needs of individual, family, group and society. PO-4 It considers ethical principles in nursing care, education, management and research. PO-5 Follows nursing laws and regulations and acts appropriately. PO-6 Uses effective communication skills. PO-7 It provides health education and counseling services to individuals, families, groups and communities. PO-8 As an active member of the healthcare team, it fulfills its roles and functions in intra-disciplinary and interdisciplinary cooperation. PO-9 It shows an empathic approach in a sensitive way to all kinds of changes that may affect the health of the individual, family, group and society. PO-10 It uses lifelong learning, problem solving and critical thinking skills. PO-11 Follows up-to-date care technologies in line with the health needs of the society and reflects them on nursing practices. PO-12 While practicing the profession, she becomes a role model for her/his colleagues. PO-13 It protects the core professional values it has acquired. PO-14 Uses professional autonomy in health related decisions.

Learning Outcomes

Course Assessment Matrix:

PO 1

PO 2

PO 3

PO 4

PO 5

PO 6

PO 7

PO 8

PO 9

PO 10

PO 11

PO 12

PO 13

PO 14