Course Description
Inclement Weather: February 25, 2026
All classes starting prior to 11 a.m. will be remote. Classes after 11 a.m. will be in person. Non-essential staff should work remote until 11 a.m. then report to campus as scheduled.
ITI 350 DATA ANALYTICS 3.0 Credit(s)
The course covers the breadth of activities and methods and tools that data scientists use to visualize and study patterns in data. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with lab sessions using a programming language. Important machine learning techniques are covered: regression, clustering, classification, association rules, time series analysis, and text analysis. The students are expected to create a final project related to their field of study, write a paper, and present it to the class.
Offered: Fall & Spring Semesters All Years
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