INFSCI 1530 DATA MINING (replacing INFSCI 1040, effective June 30, 2020)
The ability to collect, store and process large amounts of detailed data in a variety of fields has led to a surge in the use of data in various decision-making tasks, ranging from governmental policy-making to drafting players in sports. Data literacy is thus important and in this first introductory course, we will focus on shifting the traditional mode of deterministic (yes/no) thinking to probabilistic thinking. We will see concepts from applied probability and statistics, while we will also explore a variety of data analysis methods including linear regression, matrix factorization, and network analysis.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: LG/SNC Elective Basis
Course Requirements: PREQ: [(INFSCI 0510 and MATH 0280)] or (INFSCI 0019 or INFSCI 0419); Minimum C grade or Transfer; and Enrollment not permitted if currently or previously completed INFSCI 1040
Minimum Credits: 3
Maximum Credits: 3