An Introduction to Computer Intelligence

CS 437: Intelligent Systems and Soft Computing
Fall 2011

Instructor:

              Dr. Shahram Rahimi
              Office: Faner 2136, Phone: 453-6033
              Office hours: T, Th : 11:00am to 12:00am
                                                        3:15pm to 4:15pm
                                               F: 10:00 to 12:00
              Email: rahimi@cs.siu.edu

Teaching Assistant:

         Ms. Janani Santhanam
         Office: Faner 3129
         Office hours: T: 11:00 to 1:00pm
                                    W: 1:00 to 3:00pm
         Email: janani@siu.edu
         Phone: 453-6036

Class information and policies
Slides and Handouts:
- Soft Computing vs Hard Computing
- Introduction to Intelligent Systems
- Rule-Based Expert System (ES)
- JESS Expert System Programming Set1; Set2; Example programs
- Fuzzy Expert Systems (Zade video)
- Fuzzy Inference
- Artificial Neural Network
- Evolutionary Computation
  - Genetic Algorithms
    - Example: EC for Intrusion Detection
  - Evolution Strategies and Genetic Programming
- Hybrid Intelligent Systems
  - Neural Expert Systems and Neuro-Fuzzy Systems
  - Evolutionary Neural Networks and Fuzzy Evolutionary Systems
- Building Neural Network Based Systems
- Building Genetic Algorithms and Hybrid Systems
- Term Project Guidelines
  - Project possibilities (some examples):

Assignment materials:
Note: email your programming assignments to cs437@cs.siu.edu.
Use the name of the assignment as the subject of the email (for example: Ast #1)
- Ast #1: Due on 9/24/2011
- Ast #2: Certainty Factor and Fuzzy Sets; Due on 9/27/2011
- Ast #3: Fuzzy expert system development with Matlab. Due on 9/28/2011(should be done during the lab section on 9/27)
  - Reference to matlab fuzzy logic toolbox
- Ast #4: (Teams of 2) Due on 10/13/2011
  - PathGenerator.java
- Ast #5: Experiment with Perceptron: Due on 10/27/11
- Ast #6: Get familiar with matlab Neural Net toolbox
  - Neural Network Toolbox User's Guide
  - NN Toolbox Demos and Videos By 11/1/11
- Ast #7: Artificial Neural Networks (teams of 2): Due on 11/8/11
- Ast #8: Repeat Part1 and Part2 of Ast#5, using Evolutiona Computing as the Perseptron's training method (Evolutionary Neural Net): Due on 11/29/11
Self-study assignments:
- Different defuzzification methodologies and their applications

Other Helpful Links:

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NOTES:

Test 3 will be a take home exam on hybrid systems and case studies --> will be given on 12/8/11 and should be emailed back (in doc or pdf format) no later than 12/11/11.
Project presentations will be given on 12/6 and 12/8.
Regarding the projects, each team (student) should submit the following by December 9th: Project report file and your class presentation slides. For software development and application projects, also submit the source code, executables, and provide a readme file that explains how to run the executables. Zip the folder with all these files, use the project title to name the compressed file, and email it to cs437@cs.siu.edu (email subject: Class Project).
Test 2 will be given on ANN and EC topics --> 11/15/2011
Test 1: The first test will include everything covered in the class up to Artificial Neural Networks. --> October 4th