Introduction to the design and analysis of algorithms. Topics include basic algorithmic paradigms (e.g. divide-and-conquer, dynamic programming, the greedy approach and randomization), their application to core problems in graph theory and optimization, as well as analysis of time and space complexity.

Probability: Experiments, models and probabilities; conditional probability and independence; single discrete and single continuous random variables; Gaussian random variables; expectation; pairs of random variables; random vectors; sums of random variables and the Central Limit Theorm. Statistics: Parameter estimation and confidence intervals; hypothesis testing, estimation of random variables.

Probability: Experiments, models and probabilities; conditional probability and independence; single discrete and single continuous random variables; Gaussian random variables; expectation; pairs of random variables; random vectors; sums of random variables and the Central Limit Theorm. Statistics: Parameter estimation and confidence intervals; hypothesis testing, estimation of random variables.

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study

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. Seminar topics are deliberately selected and timed to support development of the 499T/P thesis/project proposals.

Analysis and design of passive microwave devices, including resonators, filters, and ferrite devices, in various transmission-line media. Noise and noise effects in detectors, mixers, and modulators. Introduction to FET amplifier design. Prerequisite: E&C-ENG 584.

With lab. IIR and FIR digital filter design. Applications of DFT and FFT. Transform domain analysis of discrete-time (DT) linear time-invariant systems: minimum phase, allpass, linear phase systems. Im-plementation of DT systems. Finite wordlength effects. Multirate digital signal processing. Power spectrum estimation. Lab includes projects using digital signal processors. Prerequisite: E&C-ENG 563.