GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTIC/BES-S-1120
Course Title: STATISTIC
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
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Have knowledge about basic level statistical methods.
Describe, classify and summarize data.
Will be able to define the relationship between variables.
Can create tables and graphics.
Make statistical calculations with computer software.
Interpret and present statistical results.
 -- MODE OF DELIVERY
  Face to face expression and discussion
 --WEEKLY SCHEDULE
1. Week  Giving information about course content and reference books
2. Week  Definitions about statistics and measurement of data
3. Week  Descriptive statistics of distributions
4. Week  Standardization Z and T scores
5. Week  Theoretical distributions
6. Week  Hypothesis testing
7. Week  Hypothesis testing
8. Week  Correlation coefficients
9. Week  Simple and multiple linear regression analysis
10. Week  Simple and multiple linear regression analysis
11. Week  Validity and reliability
12. Week  Applied statistical studies with computer software
13. Week  Applied statistical studies with computer software
14. Week  Applied statistical studies with computer software
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
0
0
 Assignment
1
25
 Application
1
25
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
50
 Percentage of Final Exam to Total Score  
50
 -- 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
5
3
15
 Searching in Internet and Library
5
3
15
 Material Design and Implementation
7
3
21
 Report Preparing
7
3
21
 Preparing a Presentation
5
3
15
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
0
 Final Exam and Preperation for Final Exam
7
3
21
 Other (should be emphasized)
10
3
30
 TOTAL WORKLOAD: 
180
 TOTAL WORKLOAD / 25: 
7.2
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Detailed and in depth knowledge in all areas of sport and health sciencesX
2Competency for integrating knowledge from different disciplines in sport and health sciencesX
3Detailed knowledge of the body system responses during exercise under normal, varying and extreme conditions
4Skills in scientific research methods to solve problems requiring specialized knowledge in sport and health sciencesX
5Skills in using communication and information technologies with knowledge of computer software and hardware in sport and health sciencesX
6Competency for critical evaluation of knowledge in sport and health sciencesX
7Competency of respecting social, scientific and ethic values in the process of data collection, evaluation and announcement in sport and health sciencesX
8Competency of respecting social, scientific and ethic values during applications of sport and health sciencesX
9Competency in applying exercise and sport in the prevention, maintenance and promotion of health and wellness
10Competency in designing individual exercise programs and health risk assessment
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Yaprak KALEMOĞLU VAROL)
 -- WEB SITE(S) OF LECTURER(S)
   ()
 -- EMAIL(S) OF LECTURER(S)
   (yaprakkalemoglu@gazi.edu.tr)