IT 533 Data Mining (Graduate)

Motivated by the growth of data collections routinely kept by many organizations, and by the high potential value of patterns discovered in those collections, Data Mining focuses on identifying useful regularities in large data sets, turning these regularities into models, and using these models to forecast future data behavior. For instance, bar code and loyalty card readers at supermarket checkouts generate data that can be used to predict future shopping trends among a certain demographic, and daylight length, temperature, and rainfall data collected at strategic locations is used for weather forecasting. This makes Data Mining a broad area that integrates techniques from machine learning, statistics, artificial intelligence, and database systems, for the analysis of large volumes of data.

This course gives a summary exposition of these techniques and their tools and is built for teachers delivering the knowledge to middle- and high-school learners.

Prerequisite: IT 502 Introduction to Programming

Related Offerings:
IT 502 Introduction to Programming (Fall 2021)
IT 510 Intro to Information Technology (Summer I 2022)
IT 533 Data Mining & Applications (Summer I 2023)
IT 600 Ethics in Information Technology (Summer 2023)
IT 603 Information Management (Fall 2022)
IT 632 Instructional Design in Information Technology (Winter/Spring 2023)