Summer 2020 > Computer Related > MSIT.5360 > 031
Course No: MSIT.5360-031; SIS Class Nbr: 2846; SIS Term: 2940
Course Status: Registration Closed
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.
*Chat Hours provide an opportunity for the instructor and students to communicate in "real time". It is an informative and interactive session where course related questions, answers, and discussions take place. While student attendance during chat hours is not required, it is highly recommended. Weekly chat sessions are archived for students who are not able to participate in the live chat sessions at the scheduled times.
Related Programs: M.S. in Information Technology
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