Course No: MSIT.5360-031; SIS Class Nbr: 14447; SIS Term: 2910
Course Status: Open Added 4/1/19
Today, we are surrounded by big data applications. Smartphone and sensor data, medical and scientific data, financial data, web and text data, and social network data are just a few examples. As a result, mining useful information and discovering knowledge from the big data are increasingly important. It is fair to say that, without data mining, we would not be able to make good use of this large amount of data. In this course, we learn the state-of-the-art techniques in data mining and analysis. Topics include types and properties of data, exploring data, classification, association analysis, cluster analysis, and anomaly detection.
Related Programs: M.S. in Information Technology
Every effort has been made to ensure the accuracy of the information presented in this catalog. However, the Division of Online & Continuing Education reserves the right to implement new rules and regulations and to make changes of any nature to its program, calendar, procedures, standards, degree requirements, academic schedules (including, without limitations, changes in course content and class schedules), locations, tuition and fees. Whenever possible, appropriate notice of such changes will be given before they become effective.
Additional Registration Information