A graduate version of ECE 559. Groups of students encouraged to work on VLSI chip designs tied into VLSI research in the Electrical and Computer Engineering or Computer Science departments. Involves knowledge of some additional aspects of computer architecture, circuit design, computer arithmetic, or a particular application area such as digital signal processing, control, cryptography, or computer graphics. Use of the chip within an overall sytem also stressed.

This graduate course provides an introduction to the new area of Security Engineering, and provides examples drawn from recent research at UMASS and elsewhere. Security Engineering is a multi-disciplinary field combining technical aspects of Applied Cryptography, Computer Engineering, and Networking as well as issues from Psychology, Sociology, Policy and Economics. Several guest lectures will be presented by experts in these disciplines.

Introduction to digital communications at the graduate level. Signaling formats, optimal receivers, and error probability calculations. Introduction to error control coding, source coding, and information theory. Prerequisite: undergraduate probability.

The Internet age of universal electronic connectivity is vital for every aspect of our lives and our economy. It enables businesses, transportation, electronic banking, health records, as well as entertainment. To maintain the integrity of the Internet, it is vital to protect and defend this infrastructure from malicious viruses, worms, eavesdropping, electronic fraud, denial-of-service attacks etc.

Embedded systems sense, actuate, compute, and communicate to accomplish tasks in domains such as medical, automotive, and industrial controls. Informal methods of hacking together embedded systems are at odds with the criticality of their applications. This course will introduce recent developments toward more rigorous modeling and verification of embedded and cyber-physical systems.

In-depth examination of semiconductor devices. The physics of semiconductors, p-n junction diodes, bipolar transistors, Schottky barriers, JFETs, MFSFETs, MIS diodes, CCDs, and MOSFETs. Prerequisite: E&C-Eng 344, or introductory semiconductor theory course.

Unified treatment of techniques for representation of signals and signal processing operations. Emphasis on physical interpre-tation of vector spaces, linear operators, transform theory, and digital signal processing with wavelet filter banks. Prerequisite: graduate standing.

Matrix analysis, state variables, state space techniques for continuous time systems, matrix fraction descriptions. Controllability, observability, realization theory. Feedback and observers. Stability analysis.

Introductory course in machine learning designed for senior level undergraduates and graduate students. The class will briefly cover topics in regression, classification, mixture models, trees, neural networks, deep learning, and ensemble methods. The course will give the student the basic ideas and intuition behind modern machine learning methods as well as a bit more formal understanding of how, why, and when they work.

This course introduces the theoretical foundations of embedded systems, with a focus on applications in the domains of medical devices and other low-power systems. The topics covered will include modeling, scheduling, analysis and verification of systems with discrete, continuous, and hybrid dynamics. Course is intended for graduate students and senior undergraduates.