CPTS 541 – Computer Vision

Course Overview

CPTS 541 – Computer Vision introduces fundamental principles and modern techniques for analyzing and interpreting visual data (e.g., images and videos). The course covers:

• Core low-level vision techniques (image filtering, feature detection)
• Foundations of machine learning for perception
• Deep neural network architectures and applications in vision

The emphasis is on both conceptual understanding and practical implementation of vision systems using state-of-the-art methods.

Learning Outcomes

• Understand classical computer vision algorithms and representations
• Apply machine learning models to visual tasks
• Design and implement deep learning solutions for detection, segmentation and recognition

Syllabus

• 📄 Course Syllabus, Fall 2025

Lecture Schedule