Course No: MSIT.5360-031; SIS Class Nbr: 13222; SIS Term: 2710
Course Status: Open
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.
Prerequisites, Notes & Instructor
- Prerequisites: Students with a CSCE career need permission to take Graduate Level Courses.
- Special Notes:
- Section Notes:
- Credits: 3;
- Instructor: Cindy Chen/Tingjian Ge
When Offered & Tuition
- Online Course
- Fall 2017: Sep 06 to Dec 10
- Course Level: Graduate
- Tuition: $1725
- Note: There is a $30 per semester, nonrefundable registration fee for credit courses.
Related Programs: M.S. in Information Technology
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