This course is one of the most fundamental courses in electric power engineering. It covers a review of AC circuit analysis, AC power, the representation of power system components, per unit analysis, transformers, transmission line parameters and steady-state operations, as well as power flow analysis. The course also introduces students to software tools for power system analysis, such as PowerWorld.

Analysis and synthesis of antenna elements and arrays. Topics include linear antennas, self and mutual impedances, aperture, travelling wave, and broadband antennas. Prerequisite: E&C-Eng 334 or equivalent.

Introduction to fundamentals of radar systems. Radar range equation, critical radar components, and system performance. Detection, modulation, noise, and propagation effects. Prerequisite: E&C-ENG 584 or equivalent.

This course covers various topics Scientific Computing including: basic numerical techniques of linear algebra and their applications, data formats and practices, matrix computations with an emphasis on solving sparse linear systems of equations and eigenvalue problems. Students will learn about the state-of-the-art programming practices in numerical linear algebra, and will be introduced to numerical parallel algorithms and parallel programming with OpenMP, MPI and hybrid.

Introduction to fundamental biological neuron models, algorithms and techniques for learning spatiotemporal patterns, and software frameworks for implementing spike-based computation. Understanding of the hardware foundation for bio-inspired computation from transistors and emerging devices to neuromorphic circuits and systems. Investigation of low-power, low-latency applications of neuromorphic engineering in machine vision, robotics, autonomous vehicles, etc.

A graduate version of E&C-Eng 568. Quantitative study of pipelined processor architectures, memory, Input/Output, RISC processors and vector machines. Prerequisite: undergraduate courses in digital design and hardware organization.

Modern techniques for synthesis and verification of digital systems. Topics in synthesis cover high-level synthesis, decision diagrams, combinational and sequential logic optimization. Topics in verification include symbolic techniques, equivalence checking, satisfiability, FSM traversal and state reachability analysis. Prerequisites: undergraduate courses in digital logic design and hardware organization.

A graduate version of E&C-Eng 558 which includes additional readings in VLSI architecture, CAD, and systems. A more ambitious design project required, which can be related to the student's research or possibly another advanced E&C-Eng course such as digital signal processing, control, computer architecture, or computer graphics. Prerequisites: E&C-ENG 212 and 221 or equivalent.

Introduces key concepts in biosensors and bioelectronics. The course starts from the basics of molecular and cellular biology, followed by discussions on important biomedical devices and system in electrical, optical, magnetic and mechanical domains. The class will focus on working principles, basic concepts, and important bio-EE applications. It has prerequisites on semiconductor devices and electronics.

This course introduces the students to the design of embedded systems with a focus in emerging cyber-physical systems and internet of things applications such as health care, connected vehicles, and augmented/virtual reality. This course presents the unique capabilities of embedded technologies, and takes a holistic approach to design end-to-end systems. These systems span various thrusts that cut across both horizontal and vertical architectural layers.