TT 9:00 - 10:15 a.m.             INTRODUCTION TO                Dennis E. Kroll
Morgan Hall 305                   EXPERT SYSTEMS                Morgan 109C  X-2746
Text: Introduction to Expert   IE/CIS 588  MFE 555              Office:  MW 1:15 - 2:30
Systems by J. P. Ignizio           Spring  2002                 Hours:  TT  10:30-11:30
                                                                  dek@bradley.edu
                                                               denniskroll for Yahoo IM
Date
Pages
Topics/Readings
Problems Due
Notes
1/24/02
1-46
Syllabus, Introduction to ES/AI and DSS
 --
Labs/Project
1/29
48-63
Histroy of Expert Systems
 -- 
Research Paper
1/31
65-74
Knowledge Representation
3.3
Bring References
2/5
74-105
Production Rules
--
--
2/7
---
EXSYS for Windows
4.8
--
2/12
111-126
Knowledge Acquisition/Domain Experts
--
Paper Topic I
2/14
127-133
ID3 / Information Theoretic Entropy
4.11
--
2/19
---
Pre-Lab Laboratory 1
5.12
--
2/21
---
Lab 1 - Exsys Rule System
5.16
Paper Topic II
2/26
---
Use of Quattro Pro macros
--
--
2/28
---
Pre-Lab Laboratory 2
Lab 1 due
--
3/5
---
Lab 2 - Decision tree structure in Quattro Pro
--
--
3/7
152-166
Inference Engines
--
--
3/12
---
Paper Discussion / Library Use
Lab 2 due
meet in 109C
3/14
166-191
Inference Algorithms
6.5 a & b
Paper Due
3/26
---
Review
6.17
--
3/28
---
Mid-term
--
--
4/2
196-216
Uncertainty & Unknowns
--
Project Topic
4/4
---
Basics of fuzzy arithmetic and logic
7.6 & 7.7
look on web site
4/9
---
Use of fuzzy logic in Exsys
--
--
4/11
---
Pre-lab  Laboratory 3
--
--
4/16
---
Lab 3 - Fuzzy Conclusions
--
--
4/18
216-224
Bridges / Explanation & Justification
--
Project Status
4/23
228-247
Validation / Consistency & Completeness
--
--
4/25
247-253
308-332
Verification / implementation
8.4
--
4/30
---
Domain Expert Motivation / Ethics
8.15
--
5/2
---
Review
--
sign-up for presentation
5/7
---
Final Exam
--
--
5/9
Noon
Presentations of Projects
--
Writen report due

GRADING
Grading will be 90-80-70-60 with some slight adjustment possible.  Points are earned as follows:  Best 10 of 11 homeworks at 10 points each, 3 laboratories at 15 points each, 2 tests at 50 points each, a paper for 20 points, and a project for 30 points.  This provides a possible total of 300 points.  On labs, the paper, and the project report neatness, grammar, spelling, format, and content will all count towards the grade.  Presentation will count as part of the project.  Projects should be done in teams of 2.  Late assignments are not, in general, accepted.  Assignments may be emailed as attachments.  Word Perfect and Quattro Pro are preferred.

OBJECTIVE
This course introduces the student to various aspects of expert systems and the relation of such systems to artificial intelligence.  Software, hardware, and especially the human elements of the systems are discussed in detail.

GENERAL
The schedule and procedures in this syllabus are subject to change in the event of extenuating circumstances.  Any student with difficulty in meeting these requirements should contact the instructor as soon as possible for an attempt to resolve the difficulty.  This especially includes class dates the student will be unavailable -- attendance at presentations is mandatory.  All students are expected to haave met the prerequisites of the course prior to the first day of class; see your advisor immediately if you have not.