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==General Information [http://ece.wikia.com/wiki/ECE_3250_-_Mathematics_of_Signals_and_System_Analysis?action=edit&section=1 Edit]==
 
==General Information [http://ece.wikia.com/wiki/ECE_3250_-_Mathematics_of_Signals_and_System_Analysis?action=edit&section=1 Edit]==
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Covers Markov chains, evolutionary algorithms like the metropolis algorithm and evolutionary game theory.
Introduction to probabilistic techniques for modeling random phenomena and making estimates, inferences, predictions, and engineering decisions in the presence of chance and uncertainty.
 
   
 
==Prerequisites [http://ece.wikia.com/wiki/ECE_3250_-_Mathematics_of_Signals_and_System_Analysis?action=edit&section=2 Edit]==
 
==Prerequisites [http://ece.wikia.com/wiki/ECE_3250_-_Mathematics_of_Signals_and_System_Analysis?action=edit&section=2 Edit]==
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ECE 3100 or equivalent
MATH 2940, PHYS 2213, or equivalents.
 
   
 
==Topics Covered [http://ece.wikia.com/wiki/ECE_3250_-_Mathematics_of_Signals_and_System_Analysis?action=edit&section=3 Edit]==
 
==Topics Covered [http://ece.wikia.com/wiki/ECE_3250_-_Mathematics_of_Signals_and_System_Analysis?action=edit&section=3 Edit]==
   
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Probability measures, classical probability and combinatorics, countable and uncountable sample spaces, random variables, probability mass functions, probability density functions, cumulative distribution functions, important discrete and continuous distributions, functions of random variables including moments, independence and correlation, conditional probability, Total Probability and Bayes' rule with application to random system response to random signals, characteristic functions and sums of random variables, the multivariate Normal distribution, maximum likelihood and maximum a posteriori estimation, Neyman-Pearson and Bayesian statistical hypothesis testing, Monte Carlo simulation. Applications in communications, networking, circuit design, device modeling, and computer engineering.
 
 
==Workload [http://ece.wikia.com/wiki/ECE_3250_-_Mathematics_of_Signals_and_System_Analysis?action=edit&section=4 Edit]==
 
==Workload [http://ece.wikia.com/wiki/ECE_3250_-_Mathematics_of_Signals_and_System_Analysis?action=edit&section=4 Edit]==
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Poitras went very fast with material, and wanted to cover the whole book. He taught straight from the book and besides 1 or 2 examples early in the semester, all lecture was exactly from book. Can self-teach the material if you just the read the book on your own time.
 
 
==Follow on Courses [http://ece.wikia.com/wiki/ECE_3250_-_Mathematics_of_Signals_and_System_Analysis?action=edit&section=5 Edit]==
 
==Follow on Courses [http://ece.wikia.com/wiki/ECE_3250_-_Mathematics_of_Signals_and_System_Analysis?action=edit&section=5 Edit]==
 
==Advice [http://ece.wikia.com/wiki/ECE_3250_-_Mathematics_of_Signals_and_System_Analysis?action=edit&section=6 Edit]==
 
==Advice [http://ece.wikia.com/wiki/ECE_3250_-_Mathematics_of_Signals_and_System_Analysis?action=edit&section=6 Edit]==
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!Spring 2016
 
!Spring 2016
 
!TR 02:55 – 04:10
 
!TR 02:55 – 04:10
!'''Eilyan Bitar'''
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!'''David Delchamps'''
!B+
+
!?
 
|-
 
|-
 
!
 
!
Spring 2017
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Spring 2018
 
!
 
!
MWF 1:25-2:15
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TR 2:55-4:10
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!David Delchamps
!Eilyan Bitar
 
!B
+
!?
 
|-
 
|-
 
!
 
!

Revision as of 22:49, 13 May 2018

General Information Edit

Covers Markov chains, evolutionary algorithms like the metropolis algorithm and evolutionary game theory.

Prerequisites Edit

ECE 3100 or equivalent

Topics Covered Edit

Workload Edit

Follow on Courses Edit

Advice Edit

Past Offerings Edit

Semester

Time

Professor

Median Grade

Spring 2016 TR 02:55 – 04:10 David Delchamps ?

Spring 2018

TR 2:55-4:10

David Delchamps ?