This is an umbrella topic that covers all interdisciplinary Computer Science subjects. Common interdisciplinary subjects include Computational Biology, Robotics, Computer Arts and so forth.
Prerequisites of interdiscipinary topics may vary, but usually a background in Computer Programming is required.
Brown University
Fall 2022
CS1951-V dives deep into the history and potential future of hypertext systems, providing insights beyond the World Wide Web. Through hands-on projects, students not only learn about hypertext but also gain expertise in full-stack application development using the modern MERN stack. The course blends technical skills with discussions, pushing students to prototype future hypermedia systems.
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+ 20 more conceptsBrown University
Spring 2023
Offered by Brown University, this course intertwines game theory and computational considerations. With emphasis on strategic agent behavior, system design, and computational tractability, students delve into auction theory, bidding strategies, computational advertising, and automated negotiation. Knowledge in Java, Python, and certain mathematical areas is essential.
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+ 32 more conceptsStanford University
Winter 2023
This preparatory course discusses symbolic frameworks in music-information, advanced notation systems, and data file structures. It's geared towards preparing for a course focused on computational musical analysis. Prerequisites include reading standard music notation and understanding tonal music theory.
No concepts data
Stanford University
Fall 2022
This course offers a team-based introduction to Computer Science research, aiming to produce a publishable work-in-progress. Research areas include AI, HCI, and Systems. Enrollment requires an application, and knowledge of CS106B is necessary.
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+ 12 more conceptsStanford University
Fall 2022-2023
Offered by Stanford University, this course focuses on AI applications in healthcare, exploring deep learning models for image, text, multimodal, and time-series data in the healthcare context. Topics also address AI integration challenges like interpretability and privacy.
No concepts data
+ 27 more concepts