CS 6682
Last Updated
- Schedule of Classes - July 2, 2025 11:52AM EDT
- Course Catalog - March 17, 2025 8:31AM EDT
Classes
CS 6682
Course Description
Course information provided by the 2024-2025 Catalog. Courses of Study 2024-2025 is scheduled to publish mid-June.
This course will focus on computational tools and methods for content creation in different domains. We will cover methods used in interactive artistic applications (visual arts, film, music, video games) as well as domains where complete automation is the goal (e.g., photometric reconstruction and image-based rendering, data augmentation). The course will involve a mix of lectures given by the instructor and presentations/discussions about research papers that will be assigned to students. Topics will include: different representations of images (e.g., vector and raster graphics), 3D models (e.g., surface manifolds vs volumetric representations), and audio (e.g., time signals vs short-time spectra), as well as parametric control of these representations and their relation to other types of data. A theory or program heavy project will be completed.
Prerequisites/Corequisites Prerequisite: Python, MATH 2210, CS 2110, or CS 2112.
Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2022SP
Outcomes
- Students should learn how to recognize the advantages and disadvantages of different representations for media.
- Students should demonstrate the ability to analyze and connect ideas from research papers in different domains (e.g., graphics, vision, music information retrieval, hci).
- Students should demonstrate a deeper practical understanding of how computation is used for content creation in domains that they pursue through course projects.
When Offered Spring.
Comments Recommended prerequisite: MATH 2230, and/or CS 3110, and/or demonstrated knowledge of Javascript and basic Signal Processing.
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR
- Jan 21 - May 6, 2025
Instructors
Davis, A
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Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Enrollment limited to: graduate students.
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