Computational Intelligence

ISYE-4810

With ever-increasing computer power readily available, new engineering methods based on "soft computing" are emerging at a rapid rate. This course provides students a working knowledge in computational intelligence covering the basics of fuzzy logic, neural networks, genetic algorithms, simulated annealing, wavelet analysis, fractal structures, and chaotic time series analysis. Applications in control, optimization, data mining, fractal image compression, and time series analysis are illustrated with engineering case studies.

3 credits
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
2022
2021
2020
2019
2018
2017
2016
Computational Intelligence (3c)
  • Mark J Embrechts
Seats Taken: 9/40
2015
2014
Computational Intelligence (3c)
  • Mark J Embrechts
Seats Taken: 12/40
Computational Intelligence (3c)
  • Mark J Embrechts
Seats Taken: 6/40
2013
Computational Intelligence (3c)
  • Mark J Embrechts
Seats Taken: 7/40
2012
Computational Intelligence (3c)
  • Mark J Embrechts
Seats Taken: 10/40
2011
Computational Intelligence (3c)
  • Mark J Embrechts
Seats Taken: 13/30
2010
2009
2008
2007