MAS.160這門課程在作業部分提供了一組完整的
習題，在
閱讀資料部分為信號與系統的初學者提供了一些有益的閱讀素材。
This class offers a complete set of problem sets, in the
assignments section, and some helpful reading materials for beginners to signals and systems in the
readings section.
信號與資訊理論的基礎強調了建立聽覺/視覺資訊和生理信號模型，以及建立來自人的或者由人接收的信號的模型。線性系統，微分方程，Z變換，採樣和採樣率轉換，迴旋積分，濾波，調製，傅立葉變換，熵，噪音，Shannon基礎定理。額外的話題包括資料壓縮，濾波器設計，特徵檢測。類似與課程MAS.510，MAS.511，但發放的作業不同。
Fundamentals of signals and information theory with emphasis on modeling audio/visual messages and physiologically-derived signals, and the human source or recipient. Linear systems, difference equations, Z-transforms, sampling and sampling rate conversion, convolution, filtering, modulation, Fourier analysis, entropy, noise, Shannon's fundamental theorems. Additional topics may include data compression, filter design, and feature detection. Meets with graduate subjects MAS.510, MAS.511 but assignments differ.
