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.

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

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.

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, noise analysis, stability, and compensation. The course will include readings in Filter Design, Common Mode Feedback, and Distortion. A design project required, which can be related to the student's research or possibly another advanced E&C-ENG course such as RF systems, biology, or communications.

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 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 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.