# GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
 Course Title: ADVANCE CATEGORICAL DATA ANALYSIS Credits 3 ECTS 7.5 Course Semester 1 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 principle components of categorical data analysis
Student learns frequently used models to model categorical variables and theory underlying these models
Student becomes skillful at applying these methods with the help of statistical software.

-- MODE OF DELIVERY
The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE 1. Week Basic concepts for categorical data, probability distributions, Maximum likelidood estimation 2. Week Hypothesis tests, confidence intervals, Goodness-of-Fit tests, sampling and structural zeros 3. Week 2×2, I×2 and I×J contingency tables, sensitivity and specificity, odds ratio, relative risk 4. Week Chi-square tests for independence 5. Week Independence tests for ordinal data, exact inference for small samples 6. Week Three-way contingecy tables, partial tables, Simpson paradox 7. Week Marginal and conditional odds ratios, conditional independence tests, homogeneous association 8. Week Log-linear models, parameter estimation and model selection for two-way contingency tables, Mid-term 9. Week Log-linear models, parameter estimation for three-way contingency tables 10. Week Log-linear models, parameter estimation and model selection for three-way contingency tables 11. Week Models for binary responses 12. Week Models for ordinal contingency tables, row-association (R) model and column-association (C) model 13. Week Goodman’s RC association model, general association model, conditional association model 14. Week Project Presentations 15. Week Final exam 16. Week -
-- TEACHING and LEARNING METHODS
-- ASSESSMENT CRITERIA
 Quantity Total Weighting (%) Midterm Exams 1 30 Assignment 0 0 Application 0 0 Projects 1 20 Practice 0 0 Quiz 0 0 Percent of In-term Studies 50 Percentage of Final Exam to Total Score 50