Computer Science 281

Note: This class is no longer being taught.

Title	Machine Learning
Units	3
Description	Learning from the point of view of artificial intelligence with contributions from philosophy and psychology. Readings and discussions will cover concept learning, compilation and intelligent caching, knowledge-based generalization, reasoning by analogy, inductive learning, architectures for general learning systems, knowledge-level analysis of learning systems. A substantial project will be undertaken.

Sections Instructor Teaching Effectiveness How worthwhile was this course?

Spring 2007 Bartlett 4.6 / 7 ± 0.6
5.6 / 7 ± 0.8

Fall 2003 (none)

Spring 1998 Russell 6.1 / 7 ± 0.4
6.0 / 7 ± 0.6

Fall 1996 Section 1 Malik 5.2 / 7 ± 3.0
6.0 / 7 ± 1.0

Fall 1996 Section 2 Friedman 4.1 / 7 ± 1.2
6.2 / 7 ± 0.7

Spring 1995 Russell 5.6 / 7 ± 0.6
6.3 / 7 ± 0.5

Spring 1993 Russell 5.9 / 7 ± 0.5
6.1 / 7 ± 0.6

Spring 1991 Russell 5.8 / 7 ± 0.6
6.0 / 7 ± 0.5

Spring 1990 Russell 6.0 / 7 ± 0.4
6.2 / 7 ± 0.5

Fall 1988 Russell 6.3 / 7 ± 1.0
5.7 / 7 ± 0.9

Overall Rating Teaching Effectiveness How worthwhile was this course?

Computer Science 281 5.2 / 7 ± 0.1
5.9 / 7 ± 0.1

Hint: You can click on the colored rating bars to see detailed statistics on a particular rating.