GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICS AND QUANTITATIVE RESEARCH/MAT418A
Course Title: STATISTICS AND QUANTITATIVE RESEARCH
Credits 3 ECTS 7
Semester 8 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof.Dr. Ziya ARGÜN
 -- WEB SITE(S) OF LECTURER(S)
  www.gazi.edu.tr/~ziya
 -- EMAIL(S) OF LECTURER(S)
  ziya@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
They should be able explain the basic statistical concepts and apply the real life situations and real life researches
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  The mode of delivery of this course is Face to face
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course
 --COURSE CONTENT
1. Week  Sample choice and organizing of data
2. Week  Analyzing of data
3. Week  Applications
4. Week  Distrubutions of sampling and estimating
5. Week  Applications
6. Week  Statistical inference: testing hypothesis
7. Week  Chi square distributions
8. Week  Applications
9. Week  Regression and correlation
10. Week  Analysis of variance
11. Week  Applications
12. Week  Indexed numbers
13. Week   Time series
14. Week  Applications
15. Week  
16. Week  
 -- RECOMMENDED OR REQUIRED READING
  Akdeniz, F., Probability and Statistics, Nobel Kitabevi, Adana, 2004 (Text book) Ersoy, N., Erbaş, SO, Introduction to Probability and Statistics, 2
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Exploration, Discussion, Brain storm, Demonstration,Concept map, inquiry, problem solving, discovery, diagnostic, computer and internet based, explor
 -- WORK PLACEMENT(S)
  -
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
2
20
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
50
 Contribution of Final Examination to Overall Grade  
50
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
2
28
 Practising Hours of Course Per Week
14
2
28
 Reading
0
 Searching in Internet and Library
14
2
28
 Designing and Applying Materials
14
1
14
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
40
40
 Final and Studying for Final
1
40
40
 Other
0
 TOTAL WORKLOAD: 
178
 TOTAL WORKLOAD / 25: 
7.12
 ECTS: 
7
 -- 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