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
- Chat Hours: Wed 9-10pm*
- Course Level: Graduate
- Tuition: $1725
- Note: There is a $30 per semester, nonrefundable registration fee for credit courses.
*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
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.