CS533 Applied Artificial Intelligence for Engineers Fall 2000
Tom Dietterich, Dearborn 306, 737-5559, email@example.com
Office Hours: To Be Determined.
There will be no textbook. Class notes and photocopies of relevant
articles will be distributed in class.
Grading (**Late assignments are not accepted**)
Written Homework 30%
Sep 25 Course Overview
INTRODUCTION TO C++
Sep 27 Introduction to C++; types, variables, I/O
29 C++ control structures; loops and loop escapes
Oct 2 C++ function definition, parameter passing, and return
4 C++ Classes and object-oriented programming
6 C++ class library: vector, list, heap. Iterators, Dynamic storage
9 C++ Tic/Tac/Toe program.
STATE SPACE SEARCH
11 Job shop scheduling.
13 Problem spaces. A constructive problem space for scheduling.
16 Problem space properties. Improving the problem space.
18 Repair-based problem space and simulated annealing
RULE-BASED PROGRAMMING and DESIGN
20 Introduction to design. Gearbox problem. Problem space.
23 Constraint analysis, constraint propagation, operators
25 More on constraint analysis.
27 Implementing generators, propagators, and testers via rules
30 More on rule implementation.
Nov 1 MIDTERM EXAM
MACHINE LEARNING AND PATTERN RECOGNITION
3 Introduction to machine learning
6 Neural networks and the backpropagation algorithm, overfitting
8 Stopped training, other strategies. ALVINN demo.
10 Decision tree algorithms
13 Reinforcement Learning (1)
15 Reinforcement Learning and Job Shop Scheduling
BAYES NETWORKS AND DIAGNOSIS
17 Bayes Networks: Basic ideas
20 Bayes Networks: Computing probabilities
22 Bayes Networks: Diagnosis (1)
24 THANKSGIVING HOLIDAY
27 Bayes Networks: Diagnosis (2)
29 Spare day 1
Dec 1 Spare day 2; Course Summary
4 12:00 FINAL EXAM