Big Data Analytics and Database Design

Undergraduate

This course introduces topics in data mining and data analytics with emphasis on Big Data. Students will gain knowledge on the practical design principles as well as theoretical foundations of Big Data processing systems. Topics covered will include data storage design and processing of big data systems such as NOSQL databases, MapReduce and Hadoop; introduction to data mining concepts such as frequent itemset and association rule mining, finding similar items, clustering, classification, link analysis, and mining data streams. (Prerequisite: COMP-3150 or COMP-3250.) (3 lecture hours a week.)