Semester.ly

Johns Hopkins University | EN.600.661

Computer Vision

3.0

credits

Average Course Rating

(4.29)

Graduate version of EN.600.461. Students may receive credit for at most one of EN.600.361 or EN.600.461 or EN.600.661. [Applications] Prerequisites (soft): intro programming, linear algebra, and prob/stat.

Fall 2014

Professor: Rene Vidal

(4.29)

Students praised this course for serving as a good introduction to the compelling and challenging field of computer vision. Students were sharply divided on issues in the course. Multiple students thought the course expected students to have prerequisite knowledge which they lacked or weren’t taught in the course. Other students found that grading was both inconsistent and unfairly harsh in the course. Students’ suggestions to improve the course also varied greatly. Some students suggested that the graders shouldn’t be as harsh and that grades should be returned more quickly. Other students suggested that the course would be improved if there was more structure and key topics were more clearly explained. Prospective students should know that students found that the course was math intensive and success depended on having a strong understanding of linear algebra.