Computer Vision & Computational Photography
University of Pennsylvania · PA · CIS5810
Computer Vision & Computational Photography is a subject at University of Pennsylvania, PA. It covers topics like computer-vision, image-processing, photography, vision-science. It is part of 15 degrees. The information below is compiled from public course material — approximate, not official.
University of Pennsylvania
CIS5810
3.00
Topics covered
Degrees that include Computer Vision & Computational Photography
- Artificial Intelligence, BSE
- Artificial Intelligence, MSE
- Computer & Information Science, MSE
- Computer & Information Technology, MCIT
- Computer and Information Science, PhD
- Computer Graphics & Game Technology, MSE
- Computer Science, BSE
- Computer Science, MASCS
- Data Science and Artificial Intelligence, MSE
- Data Science, MSE
- Electrical Engineering, MSE
- Mechanical Engineering & Applied Mechanics, MSE
- Robotics, MSE
- Scientific Computing, MSE
- Technology and Innovation, MSE
Frequently asked questions
What is Computer Vision & Computational Photography about?
Computer Vision & Computational Photography covers topics like computer-vision, image-processing, photography, vision-science.
Which degrees include Computer Vision & Computational Photography?
Computer Vision & Computational Photography is part of 15 degrees, including Artificial Intelligence, BSE, Artificial Intelligence, MSE, Computer & Information Science, MSE, Computer & Information Technology, MCIT, Computer and Information Science, PhD.
How many credit points is Computer Vision & Computational Photography?
Computer Vision & Computational Photography at University of Pennsylvania is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Computer Vision & Computational Photography taught?
Computer Vision & Computational Photography is taught at University of Pennsylvania, PA.
Studying Computer Vision & Computational Photography?
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Sources: University of Pennsylvania public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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