INFS6720-B Data Mining (Fall 2024)
Course Details
Session, Dates: 3 (08/26/2024 - 10/18/2024)
Days: T
Time: 06:00 - 10:00 pm
Location: Moon Campus
Room: Wheatley Center 119
Seats Available: 2 Seats
Credits: 3
Course Description
Data Mining provides students with an overview of data mining, with an emphasis on using data mining as an effective problem-solving strategy. The course explores the statistical techniques behind a wide range of data mining tools. Students also gain hands-on experience using various software packages such as Microsoft Excel or XLMiner, or open-source programming languages, such as Python or R, to solve case problems. The course covers several key data mining topics, including the use of data mining, data mining algorithms, associative and sequential patterns, data clustering, data cleaning, and data visualization.
Course Materials
About the Instructor(s)
Natalya G. Bromall, Ph.D.
bromall@rmu.edu
412-397-6435 phone
412-397-6469 fax
Wheatley Center 305
Profile
Director, CIS Graduate Programs
Computer and Information Systems
Professor of Computer and Information Systems
Computer and Information Systems
bromall@rmu.edu
412-397-6435 phone
412-397-6469 fax
Wheatley Center 305
Profile