Off-campus credit registration information.
Home Page: Agricultural Engineering Dept.
Week 1 Introduction
Modeling, Systems Engineering, Operations Research
Week 2 Modeling Physical Systems
Modeling Biological Systems
Analytical Models
Week 3 Introduction to Linear Programming (LP)
LP: Setting Up Problems
LP: Sensitivity Analyses
Week 4 LP: LINDO Solutions
LP: Applications
Week 5 LP: Applications
Week 6 Introduction to Artificial Intelligence Applications
Introduction to Expert Systems
Week 7 Knowledge Representation
Inferencing
Knowledge Engineering
CLIPS - An Expert System Development Environment
Week 8 CLIPS
Week 9 CLIPS
Week 10 CLIPS
Week 11 Case Based Reasoning
Week 12 Neural Networks
Week 13 Introduction to Simulation
Simulation Applications
Discrete Event Simulation: SLAM
Week 14 - revised Introduction to SLAM and discrete simulation examples
Week 14 Continuous Simulation: SLAM
Week 15 Simulation
Week 15 Combined Simulation: SLAM
Integration of Systems Engineering Methodologies
Week 16 Finals Week
engelb@ecn.purdue.edu Phone: (317) 494-1198 FAX: (317) 496-1115
Welcome to ABE 565.
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.
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.
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.
Homework 30%
Exams and quizzes 35%
Class Project 35%
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Total 100%
Off-campus credit registration information.
Home Page: Agricultural Engineering Dept.