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Course Type: Elective
Specialization: Introduction to Computer Vision
Instructors: Dr. Tom Yeh
Prior knowledge needed: TBD
Course Description
Introduction to Computer Vision guides learners through the essential algorithms and methods to help computers 'see' and interpret visual data. You will first learn the core concepts and techniques that have been traditionally used to analyze images. Then, you will learn modern deep learning methods, such as neural networks and specific models designed for image recognition, and how it can be used to perform more complex tasks like object detection and image segmentation. Additionally, you will learn the creation and impact of AI-generated images and videos, exploring the ethical considerations of such technology.
Learning Outcomes
Course Grading Policy
Assignment |
Percentage of Grade |
---|---|
Module 1: Graded Quiz |
20% |
Module 2: Graded Quiz |
20% |
Module 3: Graded Quiz |
20% |
Module 4: Graded Quiz |
20% |
CSCA 5222 Introduction to Computer Vision Final Exam |
20% |
Course Content
Notes
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