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5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
CS 6327 Balakrishnan Prabhakaran | |||||
A- | |||||
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| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
CS 6327 Balakrishnan Prabhakaran | |||||
A- | |||||
Grades: 215
Median GPA: A-
Mean GPA: 3.471
1.8
Professor rating
3.8
Difficulty
13
Ratings given
10%
Would take again
Video Analytics
CS 6327
Erik Jonsson School of Engineering and Computer Science
In-depth analysis of topics such as: video features for (human) activity and event detection; large-scale video event classification algorithms; objects-in-video counting approaches; multi-camera video handling; compressed video event detection and analyzing video in large-scale human traffic areas (such as shopping malls, airports, train-stations, etc.). 3 credit hours.
Prerequisite: CS 5343.
Offering Frequency: Each year
Grades: 38
Median GPA: A-
Mean GPA: 3.386
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Grades: 215
Median GPA: A-
Mean GPA: 3.471
1.8
Professor rating
3.8
Difficulty
13
Ratings given
10%
Would take again
Video Analytics
CS 6327
Erik Jonsson School of Engineering and Computer Science
In-depth analysis of topics such as: video features for (human) activity and event detection; large-scale video event classification algorithms; objects-in-video counting approaches; multi-camera video handling; compressed video event detection and analyzing video in large-scale human traffic areas (such as shopping malls, airports, train-stations, etc.). 3 credit hours.
Prerequisite: CS 5343.
Offering Frequency: Each year
Grades: 38
Median GPA: A-
Mean GPA: 3.386
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