GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
CATEGORICAL DATA ANALYSIS/İST4025
Course Title: CATEGORICAL DATA ANALYSIS
Credits 3 ECTS 4
Course Semester 7 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
Student learns the definition and classification of categorical variables.
Student learns methods of statistical analysis where categorical variables are used
Student learns establishing models with regard to obtained data
Student learns obtaining results by using statistical software programs.

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Fundemental concepts
2. Week  Univariate analysis, Goodness of fit tests
3. Week  Sampling ditributions, Sample size and zeros
4. Week  Contingency tables, joint, marginal, and conditional probabilities
5. Week  Contingency tables, relative risk and confidence interval
6. Week  Odds ratio and attributes
7. Week  Chi-square tests for independence
8. Week  Exact inferences for small samples, Fisher's exact test, mid-term exam
9. Week  Correlation coefficients
10. Week  Three-way tables, marginal and conditional odds ratio and independence
11. Week  Log-linear model for three-way contingency tables
12. Week  Model selection, analysis summary and interpretation
13. Week  Logistic regression analysis
14. Week  Model selection, analysis summary and interpretation
15. Week  Final exam
16. Week  -
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
2
10
 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
14
3
42
 Weekly Tutorial Hours
0
0
0
 Reading Tasks
10
2
20
 Searching in Internet and Library
10
2
20
 Material Design and Implementation
0
0
0
 Report Preparing
3
2
6
 Preparing a Presentation
0
0
0
 Presentation
0
0
0
 Midterm Exam and Preperation for Midterm Exam
1
4
4
 Final Exam and Preperation for Final Exam
2
4
8
 Other (should be emphasized)
0
0
0
 TOTAL WORKLOAD: 
100
 TOTAL WORKLOAD / 25: 
4
 Course Credit (ECTS): 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Dr.)
 -- WEB SITE(S) OF LECTURER(S)
   (https://abs.gazi.edu.tr/hulya)
 -- EMAIL(S) OF LECTURER(S)
   (hulya@gazi.edu.tr)