CISC 352 - Math Methods in Data Science

Credit(s): 3
3 hours lecture, 3 hours contact
Prerequisite(s): MATH 260.
Understanding data as information and using it to solve problems and make decisions. Graphics for data visualization. Algorithms for data cleaning, mining, and processing. Using inference algorithms for explanation, predication, and classification. Using machine learning to solve supervised and unsupervised problems. Offered in fall semester.