• Home
    • oop-course-page
  • About
  • Courses
    • 2009/2010
    • 20010/2011 >
      • ai-course-page
      • oop >
        • oopregister
        • resources
        • slides
        • csc423
      • itpolicy
      • ei
    • 2011-2012 >
      • csc232
      • csc334
      • csc746
    • 2012-2013 >
      • ai-12-13
      • tecmanagement
      • Internet Technology
      • kbs
      • itpolicy1213
    • 2013-2014 >
      • CSC748-13-14
      • CSC776-13-14
      • MCS735-13-14
      • CSC101
      • itpolicy1314
      • CSC301
      • tecmanagement
    • 2014-2015 >
      • SysProg-14-15
      • CSC101-14-15
      • CSC748-14-15
    • others >
      • Simulation
      • ai-ug
      • OPL
      • project
  • Blog
  • Contact
  • Register
Yetunde Folajimi Teaching

Expert System

This course introduces the student to the general overview of expert systems, and how to build an expert system in a variety of application areas.

COURSE OUTLINE
  1. •Overview of Expert Systems
  2. •ES and Knowledge Representation
  3. •Study of Logic
  4. •Knowledge representation techniques
  5. •Inference methods
  6. •Binary Decision trees and graphs
  7. •Expert Systems Design
  8. •Introduction to Clips

Lecture Slides:

Download Module 1: ES Overview

Download Module 2: KR

Download module 3: Inference

Download Module 4: Reasoning

Download module 5 : ES Design

Download full chapter on Introduction to ES

Download chapters 2-3

Download Clips Programming Tutorial

Download CLIPS Rule Based Programming Language (Executable)