SDT 502 - Data Mining & Big Data (Data Analytics)

3 Credit(s)

This course will cover data mining techniques and topics used for collecting large amounts of data and detecting patterns to predict possible outcomes to business scenarios using artificial intelligence (AI). Basic machine-learning concepts including clustering, entropy, dimensionality, Bayes Theorem, text analysis, and classification will be discussed. The applications and usage of Big Data in real-world scenarios will be detailed at length.

When Offered: Master’s session 3.
Prerequisite(s): SDT 500, SCS 530, or permission of instructor.