Data Science I A rigorous overview of methods for text mining, image processing, and scientific computing. Core concepts in supervised and unsupervised analytics, dimensionality reduction, and data visualization will be explored in depth. Credit Hours: 4 Prerequisites: (CSCI 1301-1301L or CSCI 1360 or CSCI 1360E) and (MATH 2250 or MATH 2250E or CSCI 2150-2150L) Semester Offered: Fall Level: Undergraduate Course Information File: CIS_CSCI_3360_0.pdf (124.12 KB)
