GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
IMPLICATIONS OF COMPUTER-BASED STATISTICAL APPLICATIONS TO BIOLOGY EDU/4410218
Course Title: IMPLICATIONS OF COMPUTER-BASED STATISTICAL APPLICATIONS TO BIOLOGY EDU
Credits 3 ECTS 7.5
Course Semester 2 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish /Englis
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
To understand the basic terms and concepts of descriptive statistics
To understand the basic terms and concepts of inferential statistics
to understand basic statistics used in educational researchs
the determination of appropriate statistical methods for data
Using statistical package programs.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Basic Concepts: Data, data types, statistics, descriptive and inferential statistics, variables, variable types, and so on.
2. Week  Statistical Software Create a Datafile
3. Week  Split file/ compute / select case/ recode
4. Week  Frequency distributions, measures of central tendency and variability
5. Week  Normal Distribution and normality tests
6. Week  Simple/bivariate and partial correlation
7. Week  Midterm exam
8. Week  Prediction Methods and Hypothesis Testing: Hypothesis, null hypothesis, significance level, the systematic error, confidence intervals.
9. Week  T-test (One sample, independent and dependent samples t-test)
10. Week  One-way ANOVA
11. Week  two-way ANOVA
12. Week  Simple linear and multiple linear regression
13. Week  Validity and reliabilty
14. Week  item analysis
15. Week  Non-parametric statistics:Chi-square, Mann-Whitney U, Wilcoxon, test, Kruskal-Wallis
16. Week  Final exam
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
6
60
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
70
 Percentage of Final Exam to Total Score  
30
 -- 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
1
14
 Searching in Internet and Library
0
 Material Design and Implementation
14
4
56
 Report Preparing
0
 Preparing a Presentation
6
5
30
 Presentation
6
1
6
 Midterm Exam and Preperation for Midterm Exam
1
15
15
 Final Exam and Preperation for Final Exam
1
15
15
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
178
 TOTAL WORKLOAD / 25: 
7.12
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8
9
10
11
12X
13
 -- NAME OF LECTURER(S)
   (Assoc.Prof.Dr. Melike ÖZER KESKİN)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/mozerkeskin)
 -- EMAIL(S) OF LECTURER(S)
   (mozerkeskin@gmail.com , mozerkeskin@gazi.edu.tr)