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Theory and techniques used in the design of modern microwave and millimeter wave active circuits. Emphasis on amplifier and oscillator circuits using devices such as FETs, HEMTs, HBTs and optoelectronic devices. Modern reference material used as much as possible.

To explore concepts related to the design, analysis, and construction of microwave systems. This course will discuss the fundamental tradeoffs governing system design: the hardware components and technologies that comprise working systems, the models used for characterizing the transmission and reception of signals, the physics of wave propagation and interaction, and estimation theory which seeks to separate signals from sources of error and guide algorithms for extracting information from received signals.

Introduction to data analytics. Data preparation, similarity and distances, association pattern mining and cluster analysis, outlier analysis, data classification, textual and time-series data, privacy issues, analysis of social networks.

Fundamental concepts and systems aspects of computer networks. Topics include a review of the layered Internet architecture and encompass router design, lookup and classification algorithms, scheduling algorithms, congestion control, wireless protocols, and network security. The goal of the course is to explore the key technical and research questions in computer networks as well as to convey the necessary analytical, simulation, and measurement techniques.

A graduate version of E&C-Eng 570 which includes additional readings from research papers on embedded operating systems concepts,

A graduate course in computer algorithms. Includes algorithms for sorting, optimization, scheduling, and data management; graph algorithms; random algorithms; NP-completeness. Prerequisites include close familiarity with data structures, probability theory, and linear algebra.

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.