This course introduces antennas and radiowave propagation for microwave frequency applications. Antenna topics include basic antenna parameters, antennas in communication and radar systems, wire antennas, and microstrip patch antennas. Propagation topics include direct transmission between a transmitter and a receiver, reflection and refraction, and propagation properties in ionosphere. In a team project, students will design and simulate an antenna for a communication or radar application of choice.

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.

The course presents a modern approach to logic design and verification of digital circuits. Topics in logic synthesis cover high-level and architectural synthesis, decision and word-level diagrams, combinational and sequential logic optimization. Topics in verification include: simulation-based validation and functional test generation; formal verification techniques; combinational and sequential equivalence checking; and Boolean satisfiability (SAT). Prerequisite: introductory digital circuits; hardware design and organization (undergraduate level). Open to senior undergraduate students.

The field of Image Processing is concerned with the study of computational approaches for the analysis, storage, and interpretation of digital content. In modern times, Image Processing applications have expanded to include an assortment of fields ranging from medical diagnostics to remote sensing to AI. This course introduces students to basic concepts and techniques in digital image processing. Topics covered will include characterization and representation of digital images, image enhancement, image restoration, image analysis, and image segmentation.

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 provides an introduction to fundamental concepts in network security and data privacy. Network security topics covered include principles of cryptography, secure protocols such as TLS, and firewalls. We will also cover privacy topics including Web privacy and privacy-preserving data analytics such as differential privacy, homomorphic encryption, secure multiparty computation.

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.

This course examines applications of Data Science in the planning and operations of decarbonized electrical power networks. The course covers (i.) basic power systems concepts for centralized and distributed electricity generation and storage (ii.) an introduction to relevant methods in geospatial data analysis and machine learning, and (iii.) trends affecting the electricity sector, with a focus on decarbonizing supplies and electrifying end-uses.

Introductory electronics project course. Learn basic circuit theory, electronics prototyping techniques and how to use test equipment towards the goal of making a complete, functional electronic prototype. This project course is restricted to EE and CompEng majors. (Students must be enrolled in or have passed ENGIN 112 - Introduction to Electrical and Computer Engineering.)

Introductory electronics project course. Learn basic circuit theory, electronics prototyping techniques and how to use test equipment towards the goal of making a complete, functional electronic prototype. This project course is restricted to EE and CompEng majors. (Students must be enrolled in or have passed ENGIN 112 - Introduction to Electrical and Computer Engineering.)