Signals, Systems and Information for Media Technology
MIT's MAS.160 covers the mathematics of signals and information theory, aimed at students modeling audio, visual, and physiological data. Topics include linear systems, difference equations, Z-transforms, sampling and sampling rate conversion, convolution, filtering, modulation, Fourier analysis, entropy, noise, and Shannon's fundamental theorems, with optional units on data compression, filter design, and feature detection. The course is offered through MIT OpenCourseWare and overlaps with the graduate subjects MAS.510 and MAS.511, though assignments differ by level. Materials include lecture notes and problem sets typical of MIT OCW offerings, letting learners work through the same technical content used in MIT's Media Arts and Sciences program. No certificate is offered, but the full syllabus and materials are free to access and use for self-study.