Study architectural techniques for efficient hardware design for machine learning (ML) systems including training and inference. Course has three parts. First part deal with ML algorithms: regression, support vector machines, decision tree, and naive Bayes approaches. Second part deals with convolutional and deep neural network models.

Visual information plays an important role in many aspects of our life. Much of this information is represented by digital images. Image processing is ubiquitous, with applications including television, tomography, photography, printing, robot perception, and remote sensing. This course is an introductory course to the fundamentals of digital image processing. It emphasizes general principles of image processing, rather than specific applications.

The course will focus on advanced analytical tools for modeling and analysis of modern networks including: network optimization, queuing theory, game theory, mean field theory, and matching theory. Examples of resource allocation problems in ultra-reliable low-latency networks, virtual networks, multi-access edge networks, 5G/6G networks will be discussed by using these tools.

Not available at this time

With lab. Electromagnetic theory applied to microwave propagation in waveguides, coaxial lines, microstrip lines, and striplines. Microwave circuit theory applied to matching networks and passive microwave devices. S-parameters, ABCD parameters, couplers, and equivalent circuits.

With lab. Electromagnetic theory applied to microwave propagation in waveguides, coaxial lines, microstrip lines, and striplines. Microwave circuit theory applied to matching networks and passive microwave devices. S-parameters, ABCD parameters, couplers, and equivalent circuits.

With lab. Electromagnetic theory applied to microwave propagation in waveguides, coaxial lines, microstrip lines, and striplines. Microwave circuit theory applied to matching networks and passive microwave devices. S-parameters, ABCD parameters, couplers, and equivalent circuits.

With lab. Electromagnetic theory applied to microwave propagation in waveguides, coaxial lines, microstrip lines, and striplines. Microwave circuit theory applied to matching networks and passive microwave devices. S-parameters, ABCD parameters, couplers, and equivalent circuits.

Time domain and frequency domain analysis and synthesis techniques for linear continuous-time feedback control systems. Topics include benefits and costs of feedback, modeling of dynamic systems,steady-state and transient performance, stability, PID control, root locus, frequency response, Nyquist stability cri-terion, and introduction to loop-shaping. Prerequisite: E&C-313

This course covers the basics of analog integrated circuit design. Topics include standard circuit building blocks such as current mirrors, voltage references, single stage amplifier topologies, differential pairs. Device models, bias choices, temperature effects, the body effect, and mismatch. Op-amp and OTA design as well as frequency response, stability, and compensation. Noise analysis is applied to various circuit configurations. More complex topics will be discussed if time permits.