SBF302 BiostatisticsIstanbul Okan UniversityDegree Programs NursingGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Nursing
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: SBF302
Course Name: Biostatistics
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
2 0 2 4
Language of instruction: TR
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Compulsory
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. SERVET BAL
Course Lecturer(s): Dr.Öğr.Üyesi İREM KARAMOLLAOĞLU
Course Assistants:

Course Objective and Content

Course Objectives: To learn the principles of statistics, to gain the ability to collect, classify and summarize data using this information.
Course Content: Biostatistics and its use in the field of health

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
1) To gain competencies such as analytical thinking, choosing the right statistical method, making statistical applications and using package programs on the computer
3 - Competences
Communication and Social Competence
Learning Competence
1) To learn basic statistical concepts, to calculate descriptive statistics suitable for data
Field Specific Competence
1) To be able to interpret descriptive statistics
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Introduction to Statistics and Biostatistics, Data and Scale Types -
1) Hypothesis Testing in Dependent Groups, Parametric and Nonparametric Provisions -
2) Classification of Statistics and Data; Frequency Distributions and Descriptive Measurements, Average, Median, Peak, Value, Quarter and Percentage, Standard Deviation and Variance, Coefficient of Variation, Standard Error Input, Data and Scale Types
3) Scientific Research and Data Collection Methods -
4) Tables and graphics -
5) normality tests and graphics -
6) Sample Distributions; Parameter Estimation and Confidence Interval Sampling Methods -
7) midterm exam -
8) sampling methods -
9) sampling methods -
10) sample size calculation, hypothesis testing -
11) Groups are dependent or independent, test types and features, Statistical decision, appropriate test selection -
12) Hypothesis Testing in Dependent Groups, Parametric and Nonparametric Provisions -
13) Significance Test of the Difference Between Means in Independent Groups, Parametric and Nonparametric Provisions -
14) correlation and regression analysis -
15) Final exam -
15) Final exam -

Sources

Course Notes / Textbooks: Prof.Dr.Reha Alpar, Spor, Sağlık ve Eğitim Bilimlerinden Örneklerle UYGULAMALI

İSTATİSTİK ve GEÇERLİK-GÜVENİRLİK? Detay Yayıncılık, Ankara 2010.
Jerrold h. Zar. Biostatistical Analysis forth edition, Prentice-Hall, Inc.1999.

Prof. Dr. Kazım Özdamar, ?Paket Programlar ile İstatistiksel Veri Analizi I?, Anadolu Üniversitesi Fen Fakültesi Yayını, 1997.

Prof. Dr. Kazım Özdamar, ?SPSS ile Biyoistatistik?, Kaan Kitapevi, 1999.
References: Prof.Dr.Reha Alpar, Spor, Sağlık ve Eğitim Bilimlerinden Örneklerle UYGULAMALI

İSTATİSTİK ve GEÇERLİK-GÜVENİRLİK? Detay Yayıncılık, Ankara 2010.
Jerrold h. Zar. Biostatistical Analysis forth edition, Prentice-Hall, Inc.1999.

Prof. Dr. Kazım Özdamar, ?Paket Programlar ile İstatistiksel Veri Analizi I?, Anadolu Üniversitesi Fen Fakültesi Yayını, 1997.

Prof. Dr. Kazım Özdamar, ?SPSS ile Biyoistatistik?, Kaan Kitapevi, 1999.

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

Program Outcomes
1) It can manage nursing care in accordance with ethical principles and laws.
2) Can transfer theoretical knowledge to nursing applications.
3) Have basic psychomotor skills of nursing.
4) Having basic psychomotor skills of your nursing.
5) Individuals, families and the community have the knowledge to perform nursing roles and functions in meeting the health care needs.
6) It can contribute to the formation of health policies.
7) Can take responsibility as individual and team member in nursing applications.
8) It can use health information systems in the maintenance.
9) To have general cultural knowledge required to be a contemporary individual and a professional member.
10) To be able to carry out projects and activities by cooperating among the sectors in social awareness consciousness.
11) Using a foreign language, you can follow the information in the field and communicate with your foreign colleagues.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) It can manage nursing care in accordance with ethical principles and laws.
2) Can transfer theoretical knowledge to nursing applications. 1
3) Have basic psychomotor skills of nursing.
4) Having basic psychomotor skills of your nursing.
5) Individuals, families and the community have the knowledge to perform nursing roles and functions in meeting the health care needs. 1
6) It can contribute to the formation of health policies.
7) Can take responsibility as individual and team member in nursing applications.
8) It can use health information systems in the maintenance.
9) To have general cultural knowledge required to be a contemporary individual and a professional member.
10) To be able to carry out projects and activities by cooperating among the sectors in social awareness consciousness.
11) Using a foreign language, you can follow the information in the field and communicate with your foreign colleagues.

Learning Activity and Teaching Methods

Field Study
Expression
Individual study and homework
Lesson
Homework
Application (Modelling, Design, Model, Simulation, Experiment etc.)

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Application

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Application 1 % 10
Midterms 1 % 40
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 2 28
Study Hours Out of Class 14 4 56
Homework Assignments 7 3 21
Midterms 1 1 1
Final 1 1 1
Total Workload 107