Course profile
Image processing and computer vision
Course description not available yet.
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Course summary
The course covers traditional image processing and computer vision with some recent additions related to deep learning. It is challenging for sophomores but manageable for juniors with strong math skills. The workload includes a significant group project, dense lecture content, and a difficult final exam without a cheat sheet.
Grading is curved, making it somewhat generous, though the final exam can be harsh.
The course has a heavy workload, especially due to the three-hour lectures and the group project. Students spend about six hours per week on assignments and studying.
Assessment includes a final exam with no cheat sheet, group projects, and regular lecture content memorization.
The professor is described as helpful but can be challenging due to the extensive material in lectures. The three-hour lectures are noted as tiring.
Take STAT3600 at the same time for better understanding of matrices and eigenvalues, and avoid taking six courses with 36 credits if you're enrolled in this course.
AI-generated AI-generated summary based on student reviews, using Qwen 2.5.
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