Math 378 Syllabus
Text:Optimization and Modeling with Artificial Life
(Click "Lecture Notes")
Topics (*time permitting) (+brief coverage):
- Design of Simple Evolutionary Algorithms, Chapter 2.
- Optimizing Real Valued Functions, Chapter +3.
- SUNBURN/VIP: Co-evolving Strings, Chapter 4.
- Symbots: simple neural nets, Chapter 5.
- Finite state machines and games, Chapter 6.
- Ordered Structures, Chapter 7.
- Introduction to Genetic Programming, Chapter 8.
- Discrete Robotics, Chapter 10,*12.
- Cellular Encoding, Chapter *14.
Grading:
- Homework 40%
- Small Projects 30%
- Final Project 20%
- Final Exam 10%