GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
BASIC BIOSTATISTICS I/HEM-1140
Course Title: BASIC BIOSTATISTICS I
Credits 3 ECTS 6
Course Semester 2 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Able to define the basic concepts of Biostatistics
Able to explain types of variables
Able to define data collection and data representation methods
Able to define descriptive statistics
Able to explain theoretical distributions
Able to use statistical software
Able to explain hypothesis testing
Able to make some hypothesis tests
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Science, scientific method, the concepts of statistics and biostatistics, basic concepts of Biostatistics
2. Week  Types of variables
3. Week  Data collection and data representation methods
4. Week  Descriptive statistics (measures of central tendency and dispersion)
5. Week  Theoretical distributions (normal, binomial and Poisson distributions)
6. Week  Statistical software and SPSS
7. Week  Basic concepts of hypothesis testing
8. Week  Hypothesis testing (Student’s T, Mann-Whitney U and Wilcoxon)
9. Week  Midterm exam
10. Week  Hypothesis testing (One way and Kruskal Wallis ANOVA)
11. Week  Hypothesis testing (Two way ANOVA)
12. Week  Hypothesis testing (Repeated measures ANOVA and Fridman test)
13. Week  Hypothesis testing (Chi-square tests)
14. Week  Regression and correlation analysis
15. Week  Regression and correlation analysis
16. Week  Final exam
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
20
 Assignment
1
20
 Application
1
20
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
14
3
42
 Searching in Internet and Library
6
3
18
 Material Design and Implementation
6
3
18
 Report Preparing
2
3
6
 Preparing a Presentation
2
3
6
 Presentation
2
3
6
 Midterm Exam and Preperation for Midterm Exam
1
6
6
 Final Exam and Preperation for Final Exam
1
6
6
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
150
 TOTAL WORKLOAD / 25: 
6
 Course Credit (ECTS): 
6
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1To be able to acquire basic knowledge about the field of expertise.X
2To be able to understand the professional and ethical values of nursing.
3To be able to analyze the relationship between basic concepts of nursing.X
4To be able to apply evidence-based knowledge in the field.
5To be able to use critical, creative thinking and problem solving skills in nursing practice.X
6To be able to acquire basic statistical knowledge.X
7To be able to cooperate with other disciplines in nursing practice.X
8To be able to handle the individual with whom they care in nursing practices with their environment.
9To be able to conduct researches that will contribute to the field of nursing.X
10To be able to follow the scientific developments specific to the field of nursing.X
11To be able to use information and technology for individual and professional development.X
12To be able to practice to raise the health level of society.X
13To be able to publish his / her research related to his / her field as a national article / paper.X
14To be able to interpret health strategies and policies.
15To have willingness to participate in lifelong learning activities.X
16To be able to lead the solution of professional and social problems.X
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Şengül Yaman Sözbir)
 -- WEB SITE(S) OF LECTURER(S)
   (https://abs.gazi.edu.tr/yamans)
 -- EMAIL(S) OF LECTURER(S)
   (yamans@gazi.edu.tr)