Fall 2018
> Computer Related
> MSIT.5320
> 031
Course No: MSIT.5320-031; SIS Class Nbr: 14114; SIS Term: 2810
Course Status: Registration Closed
Course Description
The amount of data generated by businesses, science, Web, and social networks is growing at a very fast rate. This course will cover the algorithms and database techniques required to extract useful information from this flood of data. Data mining, which is the automatic discovery of interesting patterns and relationships in data, is a central focus of the course. Topics covered in data mining include association discovery, clustering, classification, and anomaly detection. Special emphasis will be given to techniques for data warehousing where extremely large datasets (e.g.,many terabytes) are processed. The course also covers Web mining. Topics covered include analysis of Web pages and links (like Google) and analysis of large social networks (like Facebook).
Prerequisites, Notes & Instructor
- Prerequisites: Students must already have completed a bachelor's degree in a related discipline to enroll in this course and in a graduate career.
- Credits: 3; Contact Hours: 3
- Instructor: Tingjian Ge/Cindy Chen
-
UMass Lowell Bookstore
When Offered & Tuition
- Online Course
- 2018 Fall: Sep 05 to Dec 09
- Chat Hours: Wed 9-10pm*
- Course Level: Graduate
-
Tuition: $1770
- Note: There is a $30 per semester 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
scheduled times.
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 Graduate, Online & Professional Studies 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.