Managing Large Data Sets

Course Search > Computer Related > MSIT.5320

Course No: MSIT.5320-031; SIS Class Nbr: 3172; SIS Term: 2840
Course Status: Open Added 2/12/19

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.
  • Special Notes:
  • Section Notes:
  • Credits: 3; Contact Hours: 3
  • Instructor: Cindy Chen/Tingjian Ge
  • Textbook Information

When Offered & Tuition

  • Online Course
  • Summer 2019: May 20 to Aug 11
  • Chat Hours: Wed 9-10pm*
  • Course Level: Graduate
  • Tuition: $1770
  • 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 scheduled times.

Related Programs: M.S. in Information Technology

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