CAI 121 : Intro to Computer Vision
This course provides an introduction to computer vision, a discipline that involves teaching computers to interpret visual data. Students will learn fundamental computer vision concepts such as image preprocessing, feature detection and extraction, and object recognition. This course also covers practical aspects of computer vision, including implementing computer vision algorithms using popular programming languages and libraries. Students will gain hands-on experience with real-world applications of computer vision. Students also evaluate the ethical implications of computer vision solutions. Prerequisite: CAI 120 Machine Learning Foundations or permission of the instructor. Four lecture hours per week. An instruction support fee applies. General competencies met: Information Literacy. 4 Credits.
Course Outcomes
1. Describe the fundamental concepts of computer vision.
2. Apply popular computer vision algorithms using programming languages.
3. Analyze images using computer vision techniques.
4. Describe convolutional neural networks and their applications in computer vision.
5. Evaluate the ethical implications of computer vision solutions.