This course is an introduction to techniques that enable software to improve its performance over time. History and classic experiments will be presented. Programs will be studied which perform rote learning, learn by being told, learn by analogy, learn from examples (induction), and learn by observation and discovery. There will be some programming practice. Two research papers will be required of those taking this course for graduate credit, as will the presentation of a topic not covered in the course.