GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
Statistics/MTÖ304
Course Title: Statistics
Credits 2 ECTS 3
Course Semester 6 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkısh
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Ability to learn the basic definition and use of statistics in the fields
Ability to obtain the basic concepts of statistics Collecting, displaying and interpreting of data
Ability to summarizing the data with frequency distributions and graphs
Calculate and interpret measures of central tendency Calculate and interpret the measures of dispersion
Ability to calculate and interpret the correlation coefficients
The concept of normal distribution
The concept of central limit theorem Construct the confidence interval, make comments on it
The concept of hypothesis testing
Learning the chi-square test of independence
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Historical development, scope, identification and importance of statistics, Basic statistical concepts
2. Week  Collecting, displaying and interpreting of data, Frequency distribution
3. Week  Graphs
4. Week  Measures of central tendency
5. Week  Measures of dispersion
6. Week  Measures of dispersion
7. Week  Midterm Exam
8. Week  Gauss distribution
9. Week  Sampling distribution and central limit theorem
10. Week  Estimation
11. Week  Confidence intervals, Confidence interval for the population mean
12. Week  Confidence interval for the population ratio, Confidence interval for the population variance
13. Week  Hypothesis testing, Hypothesis testing for the population mean, Hypothesis testing for the population ratio
14. Week  Chi-Square test of independence
15. Week  Regression and Correlation
16. Week  Final Exam
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
0
0
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
40
 Percentage of Final Exam to Total Score  
60
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
16
2
32
 Weekly Tutorial Hours
0
0
0
 Reading Tasks
3
1
3
 Searching in Internet and Library
2
1
2
 Material Design and Implementation
0
0
0
 Report Preparing
2
5
10
 Preparing a Presentation
3
2
6
 Presentation
2
3
6
 Midterm Exam and Preperation for Midterm Exam
3
2
6
 Final Exam and Preperation for Final Exam
3
2
6
 Other (should be emphasized)
2
2
4
 TOTAL WORKLOAD: 
75
 TOTAL WORKLOAD / 25: 
3
 Course Credit (ECTS): 
3
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Acquisition of scientific thinking skillsX
2Making research and investigation independentlyX
3Acquisition of carefully observing and analytically thinking skillsX
4Acquisition of learning and teaching mathematics problemsX
5Comprehending, applying and explaining the importance of mathematical conceptsX
6Developing the thinking, producing, argumenting and probing abilitiesX
7Having the algorithm and sotftware writing abilities for solving computer supported problemsX
8Developing the ability of reaching information, evaluating and presenting informationX
9Improving yourself parallel to the developing technologyX
10Understands the disciplinary structure of mathematics, its historical development, related philosophical approaches and problems.X
 -- NAME OF LECTURER(S)
   (Prof.Dr.Hülya BAYRAK)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/hbayrak , )
 -- EMAIL(S) OF LECTURER(S)
   (hbayrak@gazi.edu.tr)