Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Categorical data analysis (17.0M542)

Type of studies	Title
Master Academic Studies	Information and Analytics Engineering (Year: 1, Semester: Summer)
Master Academic Studies	Information Engineering (Year: 1, Semester: Summer)
Master Academic Studies	Mathematics in Engineering (Year: 1, Semester: Summer)

General information:

Category	Professional-applicative
Scientific or art field	Teorijska i primenjena matematika
ECTS	5

Recognition and understanding the structure of categorical data. Getting to know methods for processing and identifying conditions under which processing can be performed. Application of familiar methods and reading of results from statistical software. Understanding the results of categorical data analysis presented in literature.

Students will be able to identify, apply and understand some methods of categorical data analysis.

Distributions for Categorical Data; Contingency Tables; Generalized Linear Models; Logistic Regression; Logit Models for Multinomial Responses; Loglinear Models for Contingency Tables; Using Computer Software for Analyze Categorical Data

Lectures; Numerical computing practice. Consultations. In lectures, theoretical part of the course is followed by typical examples for better understanding. In practice, which accompanies lectures, typical problems are solved and knowledge from the lectures is deepened. Besides lectures and practice, consultations are held on a regular basis. Part of the course can be passed during the teaching process. The oral part of the examination is obligatory.

Authors	Title	Year	Publisher	Language
Agresti A.	Categorical data analysis	2013	John Wiley & Sons	English
Annette J. Dobson, Adrian Barnett	An Introduction to Generalized Linear Models, Third Edition	2008	Taylor & Francis	English