CSCE 582 Fall 2002 Syllabus

CSCE 582 Fall 2002: Syllabus

The textbook is:

Jensen, Finn V. Bayesian Networks and Decision Graphs. New York: Springer-Verlag, 2001 (ISBN 0-387-95259). (This text is referred to as [J01].) Other recommended books on the topic are:

Robert G. Cowell, A. Philip Dawid. Steffen L. Lauritzen, and David J. Spiegelhalter. Probabilistic Networks and Expert Systems. New York: Springer, 1999 (ISBN 0-387-98767-3).
Jensen, Finn V. An Introduction to Bayesian Networks. New York: Springer-Verlag, 1996 (ISBN 0-387-91502-8). (This text is referred to as [J96].)
Richard E. Neapolitan. Probabilistic Reasoning in Expert Systems: Theory and Algorithms. New York: Wiley, 1990 (ISBN 0-471-61840-3).
Judea Pearl. Probabilistic Reasoning in Intelligent Systems. San Francisco: Morgan-Kaufmann, 1988 (ISBN 0-934613-73-7).

The last day to withdraw without failure is Thursday, October 3, 2002. The final exam for the course will take place on Saturday, December 14, 2002, at 9am in the classroom (SWGR 2A21). This is the regularly scheduled time for courses taught from 1:25pm to 2:15pm on Mondays, Wednesdays, and Fridays. The syllabus is tentative. The sections of the text listed under the ``lecture'' headings should be read before the corresponding class.

Week Begins	Topic	Lecture #1	Lecture #2	Lecture #3	Homework
(1) August 23	Introduction	None	None	(1) Introduction	None
(2) August 26	Causal and Bayesian Nets	(2) Ch.1 [J01]	(3) Ch.1 [J01]	(4) Ch.1 [J01]	1.1 (short essay), 1.2, 1.3, 1.4, 1.5 [J00], 2.1 [J96].
(3) September 2	Causal and Bayesian Nets (Ctd.)	Labor Day--No Class	(5) Ch.2 [J96], Ch.1 [J01]	(6) Ch.2 [J96], Ch.1 [J01]	1.6, 1.7, 1.8, 1.9, 1.10 [J01]
(4) September 9	Causal and Bayesian Nets (Ctd.)	(7) Ch.2 [J96], Ch.1 [J01]	(8) Ch.2 [J96], Ch.1 [J01]	(9) Ch.2 [J96], Ch.1 [J01]	TBD
(5) September 16	Building Models	(10) Ch.3 [J96], Ch.2 [J01]	(11) Ch.3 [J96], Ch.2 [J01]	(12) Ch.3 [J96], Ch.2 [J01]	TBD
(6) September 23	Building Models (Ctd.) and Test	(13) Ch.3 [J96], Ch.2 [J01]	(14) Ch.3 [J96], Ch.2 [J01]	(15) Test	TBD
(7) September 30	Building Models (Ctd.)	(16) Ch.3 [J96], Ch.2 [J01]	(17) Ch.3 [J96], Ch.2 [J01]	(18) Ch.3 [J96], Ch.2 [J01]	TBD
(8) October 7	Learning, Adaptation, and Tuning	(19) Ch.3 [J01], Section 3.4 [J96]	(20) Ch.3 [J01], Section 3.4 [J96]	(21) Ch.3 [J01], Section 3.4 [J96]	TBD
(9) October 14	Fall Break and Learning, Adaptation, and Tuning (Ctd.)	No Class	(22) Ch.3 [J01], Section 3.4 [J96]	(23) Ch.3 [J01], Section 3.4 [J96]	TBD
(10) October 21	Learning, Adaptation, and Tuning (Ctd.)	(24) Ch.3 [J01], Section 3.4 [J96]	(25) Ch.3 [J01], Section 3.4 [J96]	(26) Ch.3 [J01], Section 3.4 [J96]	TBD
(11) October 28	Decision Graphs	(27) Ch.4 [J01], Sections 5.5, Ch.6 [J96]	(28) Ch.4 [J01], Sections 5.5, Ch.6 [J96]	(29) Ch.4 [J01], Section 3.4 [J96]	TBD
(12) November 4	Decision Graphs (Ctd.)	(30) Ch.4 [J01], Section 3.4 [J96]	(31) Ch.4 [J01], Section 3.4 [J96]	(32) Ch.4 [J01], Section 3.4 [J96]	TBD
(13) November 11	Decision Graphs (Ctd.)	(33) Ch.4 [J01], Section 3.4 [J96]	(34) Ch.4 [J01], Section 3.4 [J96]	(35) Ch.4 [J01], Section 3.4 [J96]	TBD
(14) November 18	Belief Updating (Ctd.)	(36) Ch.5 [J01], Ch.4 [J96]	(37) Ch.5 [J01], Ch.4 [J96]	(38) Ch.5 [J01], Ch.4 [J96]	TBD
(15) November 25	Belief Updating in Bayesian Networks and Thanksgiving	(39) Ch.5 [J01], Ch.4 [J96]	No Class	No Class	TBD
(16) December 2	Belief Updating (Ctd.)	(40) Ch.5 [J01], Ch.4 [J96]	(41) Ch.5 [J01], Ch.4 [J96]	(42) Ch.5 [J01], Ch.4 [J96]	TBD