Signal sampling and reconstruction. Z Transforms for systems analysis: transfer functions, stability. IIR and FIR digital filter design. Minimum phase, all-pass, and linear phase filters. Implementation of DT systems. Signal representations in vector spaces. Linear inverse problems. Matrix approximation using least squares. Computing solutions to linear least squares problems.

With lab. Introduction to VLSI design and custom design methodology in MOS. Topics include: MOS devices and circuits, fabrication, structures, sub-system and system design, layout, CAD techniques, and testing.

Machine learning is widely employed in a range of applications. This course has two parts. The first part is about ML systems, which will talk about the most recent research in machine learning, such as efficient model training, inference, and serving, distributed and parallel learning algorithms and systems, ML programming models and abstractions. The second part is about ML for systems, where ML is deployed to solve system problems, such as identifying performance, reliability, and scalability issues in both static and dynamic scenarios.

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.

With 5G networks being deployed worldwide, academia and industry are already shifting their attention towards 6G. This course focuses on the evolution, fundamentals, and challenges of 5G/6G wireless network design. Preliminary knowledge on networking and machine learning is encouraged.

E&C ENG 499Y is Part 1 of the senior honors thesis or project in ECE, to be followed in the spring by Part 2 (E&C ENG 499T for thesis or ECE 499P for project). Individual student research is directly contracted with the faculty chairs who supervise the work. In addition, all 499Y students participate in a common thesis/project seminar that addresses research-related communication and other aspects of the research process in a seminar/workshop format.

E&C ENG 499Y is Part 1 of the senior honors thesis or project in ECE, to be followed in the spring by Part 2 (E&C ENG 499T for thesis or ECE 499P for project). Individual student research is directly contracted with the faculty chairs who supervise the work. In addition, all 499Y students participate in a common thesis/project seminar that addresses research-related communication and other aspects of the research process in a seminar/workshop format.

E&C ENG 499Y is Part 1 of the senior honors thesis or project in ECE, to be followed in the spring by Part 2 (E&C ENG 499T for thesis or ECE 499P for project). Individual student research is directly contracted with the faculty chairs who supervise the work. In addition, all 499Y students participate in a common thesis/project seminar that addresses research-related communication and other aspects of the research process in a seminar/workshop format.