CS150 -- Machine Learning
Spring, 2008
Course Schedule
(last updated 3/31/2008)

Course Week
Mondays
Wednesdays
Fridays
1. Jan 7-11
Ch 1, Introduction; Grade selection
Ch 2, Generalization
2. Jan 14-18
...[bias, sections 2.6-2.8] Ch 3, Decision trees ...
3. Jan 21-25
Tues 1/22: Observe Monday class schedule Ch 9, Genetic algorithms (through sections 9.2.1 Ch 9, through 9.4...; Project: Gomoku learning program
4. Jan 28-Feb 1
...Ch 9, through end of chapter; Student lead discussion: Joel Stewart on genetic programming;  Ch 4, Neural nets (sects 1-4);
Ch 4, Neural nets (section 5); Student-lead discussion (SLD): Ben Fisk on the backpropagation algorithm
5. Feb 4-8
Ch 4, Neural nets (sects 6 & 7);  Ch 4, Neural nets (through end of chapter) ...Ch 5, Methodology...; SLD: Kelsey Marshman on estimating hypothesis accuracy (sect. 5.2)
6. Feb 11-15
...
...Ch 5, to end ..Ch 6, Statistical methods (sect. 6.1-6.3);
7. Feb 18-22
Mon 2/18: No class, Presidents Holiday Ch 6 (sect. 6.4-6.6)
...Ch 6 (sect. 6.7-6.10)
8. Feb 25-29
...Ch 6 (sect. 6.11-6.13); [SLD: Dan Rufener on Bayesian belief networks (6.11)]; GA Project - deliverable 1 Ch 7, Theoretical analyses... ... 
9. Mar 3-7
GA Project: deliverable 2/3
Ch 8, Instance-based learning (sect. 8.1-8.2) GA Project: deliverable 4
10. Mar 10-14
Ch 8 (sect 8.3-8.4) GA Project: deliverable 5 Fri 3/14: No class.
X. Mar 17-21
No class,... Spring Recess
11. Mar 24-28
Mon 3/24: No class ... Midterm Exam
12. Mar 31-Apr 4

Ch 8 (sect. 8.5-8.7) Ch 10, Learning Rules (sect. 10.1-10.4)
13. Apr 7-11
...Ch 10 (sect. 10.4-10-5);  [SLD: Kelsey, on the FOIL algorithm, sect. 10.5] ...Ch 10 (sect. 10.6-10.8) ...Ch 11, Analytical Learning (sect. 11.1-11.2); [SLD: Ben, sect. 11.2]
14. Apr 14-18
...Ch 11 (sect. 11.3-11.5) ...Ch 12, Inductive & analytic learning (sect. 12.1-12.3); [SLD: Daniel, on the KBANN algorithm, sect. 12.3]
...Ch 13, Reinforcement learning (sect. 13.1-13.3)
15. Apr 21-25
...Ch 13 (sect. 13.4-13.8); [SLD: Joel, on temporal difference learning (sect. 13.3)] ... Fri 4/25: No class, study day
16. Apr 28-May 1 Final: Thurs. May 1, 8:00-10:00am