CISC 540 - Computational Data Analysis

Credit(s): 3
3 hours lecture, 3 hours contact
Prerequisite(s): CISC 530 Math Methods Data Analysis Math Methods Data Analysis
This course prepares the student to understand data as information and use it to solve problems and make decisions, especially in the world of big data. Topics include graphics for data visualization, algorithms for data cleaning, mining, and processing, using inference algorithms for explanation, predication, and classification, and using machine learning to solve supervised and unsupervised problems. Students complete a significant data analytics project.