COSC 6367 Goal and Prerequisites                      

prerequisites: the class is basically self-contained; the only
skill you are assumed to have are basic programming skills (undergraduate data structures level is enough).goals of the class:
* introduction to evolutionary programming
* review of "classical" machine learning, optimization, and 
  heuristic search techniques; learn how to design and implement
  evolutionary programming systems that focus on those tasks.
* practical applications of evolutionary programming to optimization
  and machine learning projects.
* obtain practical experience in knowledge discovery and data mining
  as part  of a course project in this area as part of a course project
* learn how to conduct a small research project; learn how to 
  conduct empirical results; learning how to summarize and present
  project results (this might be quite important for your current 
  and/or future job and for your dissertation/Master's thesis).

If you are not sure if the class is a good class for you, checkout
the following www-links to find out more about the class.
home-page of the class:  http://www.cs.uh.edu/~ceick/6367.html 
knowledge discovery project: http://www.cs.uh.edu/~ceick/matta.html
EP machine learning project: http://www.cs.uh.edu/~yjkim/delvaux.html
Prof. Eick's Homepage: http://www.cs.uh.edu/~ceick/ceick.html
general information on knowledge discovery and data mining: http://www.kdnuggets.com

Regards                        

                        Christoph F. Eick
                        Associate Professor 
                        Department of Computer Science