" This course will cover fundamentals of digital communications and networking. We will study the basics of information theory, sampling and quantization, coding, modulation, signal detection and system performance in the presence of noise. The study of data networking will include multiple access, reliable packet transmission, routing and protocols of the internet. The concepts taught in class will be discussed in the context of aerospace communication systems: aircraft communications, satellite communications, and deep space communications."

" This class explores interaction with mobile computing systems and telephones by voice, including speech synthesis, recognition, digital recording, and browsing recorded speech. Emphasis on human interface design issues and interaction techniques appropriate for cognitive requirements of speech. Topics include human speech production and perception, speech recognition and text-to-speech algorithms, telephone networks, and spatial and time-compressed listening. Extensive reading from current research literature."

Digitize Me, Visualize Me, Search Me takes as its starting point the so-called ‘computational turn’ to data-intensive scholarship in the humanities. What Digitize Me, Visualize Me, Search Me endeavours to show is that such data-focused transformations in research can be seen as part of a major alteration in the status and nature of knowledge. It is an alteration that, according to the philosopher Jean François Lyotard, has been taking place since at least the 1950s, and involves nothing less than a shift away from a concern with questions of what is right and just, and toward a concern with legitimating power by optimizing the social system’s performance in instrumental, functional terms. This shift has significant consequences for our idea of knowledge.

We will explore the theoretical and historical motivation behind modern error control coding, particularly algebraic block coding. Linear codes, both block and convolutional, will be introduced, followed by a description of the algebraic tools necessary to describe and implement Reed-Solomon codes. Modern algebraic concepts including Galois fields will be presented, along with circuit implementations. Also, convolutional codes and trellis-coded modulation will be covered, along with the Viterbi algorithm for decoding. Low-density parity check codes and Turbo codes will be covered, as time permits. Much of the learning will be expressed in formal (theorem/proof) format to develop rigor.

Hearing is a familiar and important human sense that is a topic naturally of interest to those who are curious about human biology. This unit will enable you to relate what you read to your own sensory experiences – and indeed many of the questions asked have exactly that function. This unit will be best understood by those with some biological understanding.

An overview of information theory, beginning with a quantifiable definition of information using entropy and leading to ideas in reliable transmission of information using source coding and channel coding.

This module gives a clever method of coding, JPEG entropy coding.

Shows the code used in the various parts of our model.

" This class teaches the fundamentals of signals and information theory with emphasis on modeling audio/visual messages and physiologically derived signals, and the human source or recipient. 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. Additional topics may include data compression, filter design, and feature detection. The undergraduate subject MAS.160 meets with the two half-semester graduate subjects MAS.510 and MAS.511, but Assignments and Labs differ."