ABE 565 - Agricultural Systems Engineering
Message of the Day
Select the message of the day link to get tips,
updates, and other information that I forgot to tell you about.
Class Schedule
Week 1 - Aug 25 Introduction
Modeling, Systems Engineering, Operations Research
Week 2 - Sept 1 Modeling Physical Systems
Modeling Biological Systems
Analytical Models
Week 2 - Sept 1 Introduction to Linear Programming (LP)
LP: Setting Up Problems
LP: Sensitivity Analyses
Week 3 - Sept 8 LP: LINDO Solutions
LP: Applications
Week 4 - Sept 15 LP: Applications
Week 5 - Sept 22 Introduction to Artificial Intelligence Applications
Introduction to Expert Systems
Week 6 - Sept 29 Knowledge Representation
Inferencing
Knowledge Engineering
CLIPS - An Expert System Development Environment
Week 7 - Oct 6 CLIPS; CLIPS Documentation
Week 8 - Oct 13 CLIPS
Week 9 - Oct 20 CLIPS
Week 10 - Oct 27 Case Based Reasoning
Neural Networks
Week 11 - Nov 3 Neural Networks
Week 12 - Nov 10 Introduction to Simulation
Simulation Applications
Discrete Event Simulation: SLAM
Neural Net HW
Week 13 - Nov 17 Introduction to SLAM and discrete simulation examples
Week 14 - Nov 24 Continuous Simulation: SLAM
Week 15 - Dec 1 Simulation
Week 16 - Dec 8 Combined Simulation: SLAM
Integration of Systems Engineering Methodologies
Week 17 - Dec 16 Final 7pm
Instructor:
Bernie Engel
1146 Agricultural and Biological Engineering
Purdue University
West Lafayette, IN 47907-1146
USA
engelb@ecn.purdue.edu
Phone: (765) 494-1198
FAX: (765) 496-1115
Introduction
Welcome to ABE 565.
Course objectives
The intent of this course is to teach the philosophy of solving problems
from a system perspective. Students will learn solution techniques for
expert systems, neural networks, simulation, and linear programming. Students
will become familiar with recent applications of systems engineering in
agriculture.
Course Format and Message from the Instructor
The format and style of this course will likely be different than any you
have taken. I will expect more reading than normal and you will be interacting
with computer-based educational materials available via the World Wide
Web (WWW) to replace many lectures. Much of this course has historically
been "hands on" with the systems engineering and analysis software tools
and this emphasis will be continued. The best way to contact me will be
by email - my email address is engelb. You are also welcome to stop by
my office if you have a question, phone or wait until weekly class meetings.
Please do not hesitate to contact me!
We will not "meet" as a class for each of the 3 scheduled weekly meetings.
You will be free to work on the WWW materials at your convenience during
a given week. However, you will be expected to complete the materials assigned
weekly during that week. On Fridays, we will meet as a class during most
weeks. On Fridays, we will discuss the week's materials, take exams and
quizzes, receive handouts, etc. I would like this course to be a good experience
for everyone involved. Thus, if you have suggestions for improvement at
any time, please let me know.
Text and References
The course will use numerous handouts. The text that will be used is "Expert
Systems: Principles and Programming." A CLIPS reference manual will be
available for purchase later in the semester. We will use numerous handouts
that you will receive on Fridays.
Grading Policy
Homework 45%
Exams and quizzes 20%
Class Project 35%
----
Total 100%
Off-campus
credit registration information.
Home Page: Agricultural Engineering Dept.