# 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
Simple View
Detailed View

| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |
2026 |  |  |
2025 |  |  |
2024 |  |  |
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 |  |  |
2006 |  |  |
2005 |  |  |
2004 |  |  |
2003 |  |  |
2002 |  |  |
2001 |  |  |
2000 |  |  |
1999 |  |  |
1998 |  |  |