Fall 2023
> Computer Related
> MSIT.5360
> 031
Course No: MSIT.5360-031; SIS Class Nbr: 13710; SIS Term: 3310
Course Status: Registration Closed
Course Description
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.
- Credits: 3; Contact Hours: 3
- Instructor: Cindy Chen/Tingjian Ge
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Textbook Information
When Offered & Tuition
- Online Course
- 2023 Fall: Sep 06 to Dec 22
- Course Level: Graduate
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Tuition: $1800
- Note: There is a $30 per semester registration fee for credit courses.
Related Programs: M.S. in Information Technology
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