CSCI 3240U – Computer Vision I

This course introduces the fundamental concepts and methods that allow computers to capture, process, and analyze visual data. The course begins with the basics of imaging and computational photography—covering cameras, pixels, color, and image formation—before moving on to foundational vision techniques such as filtering, edge detection, image pyramids, and feature extraction.

The emphasis is on building a strong understanding of the mathematical and computational principles of image analysis while developing hands-on coding skills to implement algorithms. Students will gain practical experience through labs and projects that reinforce both theory and application.

This course is the first part of a two-course sequence in computer vision. Together with Computer Vision II, it provides students with a comprehensive pathway into the field. Computer Vision I focuses on the core foundations and classical approaches, setting the stage for advanced topics covered in the follow-up course.
Formerly: CSCI 3240U Computational Photography
Credit hours: 3
Lecture hours: 3
Laboratory hours: 1.5
Prerequisite(s): CSCI 2010U
Experiential learning: Yes

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