Course profile
Introduction to computer vision
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Course summary
COMP3317 is generally seen as a manageable and straightforward introduction to computer vision with clear explanations. It's recommended for students who are familiar with linear algebra, but the workload can be heavy due to numerous assignments. The grading tends to be generous, making it an easy course to get good grades in.
Grading is generally generous, with multiple students mentioning that it’s easy to achieve A or A- grades.
The course has a moderate workload, involving several programming and writing assignments. Students report spending around 10 hours per week on the course.
Assessment includes five assignments (three writing tasks and two coding tasks), a final exam with four questions, and past papers are recommended for practice.
Professor Kenneth is described as engaging and patient. He explains concepts clearly but can speak quickly at times, which some students find challenging.
Do more practice problems and attend classes regularly to better understand the material. Past exam papers are highly recommended for preparation.
AI-generated AI-generated summary based on student reviews, using Qwen 2.5.
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