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Managing Large Data Sets

Catalog Search > Computer Related > MSIT.5320

Course No: MSIT.5320; Last Offered: Fall 2020;

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

  • Prerequisites: MSIT,IT Certificate Program
  • Special Notes:
  • Credits: 3; Contact Hours: 3

Questions About This Course?

Contact the Advising Center at 978-934-2474 or Continuing_Education@uml.edu

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