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Ontario Tech University
   
    Nov 10, 2026  
2026-2027 Undergraduate Academic Calendar 
    
2026-2027 Undergraduate Academic Calendar
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CSCI 4220U – Computer Vision II


This course builds on the foundations established in Computer Vision I and introduces advanced concepts and methods that drive modern computer vision systems. The course emphasizes learning-based approaches, including convolutional neural networks, deep learning for recognition, object detection, segmentation, and visual understanding.

Students will explore how large-scale datasets, machine learning models, and optimization techniques are used to solve real-world vision problems. Practical assignments and projects provide experience with state-of-the-art frameworks and tools widely used in academia and industry.

As the second part of the two-course sequence, Computer Vision II complements the principles introduced in Computer Vision I. While the first course establishes the fundamentals of image processing and classical techniques, this course highlights advanced algorithms and applications powered by deep learning.
Formerly: Computer Vision
Credit hours: 3
Lecture hours: 3
Laboratory hours: 1.5
Prerequisite(s): CSCI 3240U  and MATH 2050U   
Experiential learning: Yes



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