ECE 510 - Introduction to Computational Intelligence Methods (4 credits)

 

Catalog Description:
An overview of the computational intelligence field including an introduction to neural networks, fuzzy systems, genetic algorithms, particle swarm optimization, ant colony optimization, differential evolution and quantum computing. Introduction to MATLAB and MATLAB toolboxes. Course provides a foundation for more advanced studies in computational intelligence.

This course is taught by five faculty members all of whom conduct research in the computational intelligence area. The following topics are covered in the course in Fall 2007:

  • Artificial Neural Networks (Dr. George Lendaris)
  • Particle Swarm Optimization (Dr. Richard Tymerski)
  • Differential Evolution (Dr. Richard Tymerski)
  • Genetic Algorithms (Dr. Garrison Greenwood)
  • Fuzzy Systems (Dr. Gerald Sheble)
  • Quantum computing (Dr. Marek Perkowski)

Course Grading:
Mini-projects issued by each of the above faculty: 15% each => 75%
Final exam => 25%

Textbook:
Leandro Nunes de Castro, Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications, Chapman and Hall/CRC, 2006.¹

¹Lecture notes will be provided for the fuzzy systems topic.
 
awarded

Jeff Hoffman & Don Tornquist have been chosen for the 2009-2010 ECE Undergraduate Honors Program. The program enables undergraduates to go beyond their normal studies to work with faculty in the area of their choice: research, entrepreneurship or innovation.

Robert Daasch

Dr. Robert Daasch has won the Semiconductor Research Corporation 2009 Technical Excellence Award. It is the second highest research award in the SRC. The Technical Excellence Award was established as an incentive and recognition program for research of exceptional value to GRC members. Authorized by the Board of Directors in December 1991, the award is intended to complement the Inventor Recognition Award. The Technical Excellence Award is shared among key contributors for innovative technology that significantly enhances the productivity/
competitiveness of the semiconductor industry. To date 25 research efforts have received the award. The 2008 Technical Excellence Award was presented to a team of researchers from Portland State University led by Professor W. Robert Daasch, and supported by students Liwei Ning (PhD 2009), and Amit Nahar (MS 2006) for their research, "Burn-in Reduction: Improving Outlier Screening".