CMSC498Z

Selected Topics in Computer Science; Differentiable Programming

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Prerequisite: Minimum grade of C- in CMSC330 and CMSC351 This course is an introduction to differentiable Programming, a new programming paradigm in which a numerical program can be differentiated through automatic differentiation, allowing gradient-based optimization of parameters in the program. It has broad applications in Computer Graphics, Computer Vision, Deep Learning, Quantum Computing, System Control, and many more. The course assumes a good working knowledge of linear algebra and differentiation.

Sister Courses: CMSC498A, CMSC498B, CMSC498C, CMSC498D, CMSC498E, CMSC498F, CMSC498G, CMSC498I, CMSC498J, CMSC498K, CMSC498L, CMSC498N, CMSC498O, CMSC498P, CMSC498Q, CMSC498R, CMSC498T, CMSC498V, CMSC498W, CMSC498X, CMSC498Y

Fall 2025

Ming Lin

0 reviews
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Past Semesters

Ashok Agrawala

16 reviews
Average rating: 2.25

Ming Lin

0 reviews
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Ming Lin

0 reviews
Average rating: N/A

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.