Sep 15, 2019  
2019-2020 Academic Catalogue 
    
2019-2020 Academic Catalogue

CIS 342 - Data Analytics


Lecture Hours: 3
Lab Hours: 0
Credit Hours: 3

Recently, rapid developments in data collection and storage technologies have led to the generation of many "big" data sets. Data mining has evolved from the disciplines of statistics and artificial intelligence and is becoming a rapidly growing field to develop techniques for automatic discovery of interesting patterns and relationships in the "big data". This course will provide an introduction to the topic of data mining, and some statistical principles underlying its key methods. Topics covered will include data  preprocessing, classification, clustering, dimensionality reduction, association, correlations, and pattern recognition. Students will practice statistical data analysis using R programming language, which is a strongly functional language and environment enabling statistical exploration and graphical displays of data sets. Note: Cannot take if CIS 441 has already been taken. Prerequisite(s): CIS 322 - Database Management Systems  with a minimum grade of C Note: Cannot take if CIS 441 has already been taken.