Introduction and foundation of big data and big-data analytics. Sources of big data. Smart clouds. Hadoop file system and Apache Spark. Storage management for big data. Machine learning and visualization with big data. Applications of big data. Big data security, privacy, and its societal impacts.

Pre-requisites: (MATH101 Or MATH106) And (ISE205 Or STAT201 Or STAT212 Or STAT319 Or EE315)