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DATA 3442. STATISTICAL METHODS FOR DATA SCIENCE 2. 4 Hours.

This lecture and lab course will provide an introduction to the principles and general methods for the analysis of categorical data. This type of data occurs extensively in both observational and experimental studies, as well as industrial applications. While some theoretical statistical detail is given, the primary focus will be on methods of data analysis. Topics include generalized regression models, logistic regression models, Poisson regression models, and multinomial regression models. Problems will be motivated from a scientific perspective. Prerequisite: DATA 3441.

Computer Science and Engineering - Graduate Programs

http://catalog.uta.edu/engineering/computer/graduate/

...and Data Analysis: spatio-temporal data, data mining...CSE 2320 and CSE 3442, or CSE 5300...

Computer Science and Engineering - Undergraduate Programs

http://catalog.uta.edu/engineering/computer/undergraduate/

...experimentation, analyze and interpret data, and use engineering...or better in CSE 3442. CSE 4380 INFORMATION...

Electrical Engineering - Graduate Programs

http://catalog.uta.edu/engineering/electrical/graduate/

...EE 5360 EE 5360 - Data Communication Engineering EE...successful completion of CSE 3442 (Embedded Systems I...