EC ENGR C149
Foundations of Computer Vision
Lecture.
Winter 2027: 1 section. It is open. The oldest of these readings was 55 minutes ago.
Grades
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Workload and assignments
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What comes first
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Counted in courses rather than quarters: dibs does not know which of them a department lets you take together.
From the registrar's catalog
Lecture, four hours; outside study, eight hours. Recommended requisites: courses 102, 131A, Mathematics 33A. Covers foundations of computer vision from both theoretical and practical perspective. Particular emphasis on classical computer vision, which should be seen as complementary to deep learning. Study is relevant for various majors in the sciences specializing in artificial intelligence, cyberphysical systems and information engineering, robotics, machine learning, perception, and others looking for applications. Concurrently scheduled with course C249. Letter grading.
Sections in Winter 2027
Seat counts as of . Seat readings are snapshots, not live availability. Their timestamps show when dibs last checked.
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Seats
Open140 seats left.
0 of 140 enrolled
Seat risk
low risk
From the people who took it
Student reviews
What taking EC ENGR C149 was like: the work, the teaching, and what students wish they’d known.
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Seats over time in Winter 2027
How each lecture has filled since dibs first saw it.
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What a flat run means, and where a line starts
Flat between dots means it did not drift, it held and then jumped, and a line starts when dibs first saw that lecture rather than reaching back before it existed. A lecture that has never moved draws a flat line across the whole window, and one with two or three readings draws a line joining them, which is too few to read a trend from.
Lec 1 · Kadambi, A. · 0 of 140 enrolled
Unchanged over about 4 hours
Both readings say 0 of 140.
How readings and alerts work
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