Subject: Categorical data analysis (17.0M542 )
Native organizations units: No data
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Master Academic Studies | Mathematics in Engineering (Godina: 1, Summer) |
| Master Academic Studies | Information and Analytics Engineering (Godina: 1, Summer) |
| Master Academic Studies | Information Engineering (Godina: 1, Summer) |
Educational goal:
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.
Educational outcome:
Students will be able to identify, apply and understand some methods of categorical data analysis.
Course content:
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
Teaching methods:
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.
Literature:
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| 2008 | English | |||
| Hadžić, O. | Numeričke i statističke metode u obradi eksperimentalnih podataka | 1989 | Institut za matematiku, Novi Sad | Serbian language |
| 2013 | English |
Knowledge evaluation:
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Written part of the exam - tasks and theory | No | Yes | 50.00 |
| Oral part of the exam | No | Yes | 20.00 |
| Test | Yes | Yes | 30.00 |
Lecturers:
doc. dr Delić Marija
Assistant Professor
Computational classes
doc. dr Delić Marija
Assistant Professor
Practical classes
doc. dr Ovcin Zoran
Assistant Professor
Lectures
Faculty of Technical Sciences
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Contact:
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.