CSCE 582 Spring 2012 Syllabus

CSCE 582 Spring 2012: Syllabus

The textbook is:

Jensen, Finn V. Bayesian Networks and Decision Graphs. New York: Springer-Verlag, 2007 (ISBN-10 0-387-68281-3; ISBN-13: 978-0-387-68281-5) (Approximately $72 at amazon.com. This text is referred to as [J07].) Other recommended books on the topic are:

Adnan Darwiche. Modeling and Reasoning with Bayesian Networks Cambridge, UK: Cambridge University Press, 2009 (ISBN 978-0-521-88438-9).
Daphne Koller and Nir Friedman. Probabilistic Graphical Models: Principles and Techniques. Cambridge, MA: The MIT Press, 2009 (ISBN 978-0-262-0139-2).
Timo Koski adn John M. Noble. Bayesian Networks: An Introduction. Chichester, UK: Wiley, 2009 (ISBN 978-0-470-74304-1).
Uffe B. Kjaerulff and Anders L. Madsen. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis. New York: Springer-Verlag, 2008 (ISBN 978-0-387-74100-0).
Kevin B. Korb and Ann E. Nicholson. Bayesian Artificial Intelligence. London: Chapman & Hall and CRC Press, 2004 (ISBN 1-58488-387-1).
Jensen, Finn V. Bayesian Networks and Decision Graphs. New York: Springer-Verlag, 2001 (ISBN 0-387-95259). (This text is referred to as [J01].)
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 main (approximately 80% of the time) instructional delivery strategy for this course is lectures. Discussions based on student presentations, videos, quizzes or in-class exercises, and a possible invited talk will make up the remaining 20% of time. The first day of classes is Tuesday, January 10, 2012. The last day to withdraw without failure is Monday, February 27, 2012. The last day of classes is Thursday, April 19, 2012. The final exam for the course is Saturday, April 28, 2012, at 1400 (2pm) in the classroom (SWGR 2A24). This is the regularly scheduled time for courses taught from 930 to 1045 on Tuesdays and Thursdays. (See the university exam schedule.) The syllabus is tentative. It is especially important for students to be aware that the date of the midterm test or tests is only tentative.

Week	Lecture Topics	Readings
1: January 10 and 12	Probability and Reasoning	Chs.1 and 2 [J07]; instructor's slides
2: January 17 and 19	Probability and Reasoning;	Chs.1 and 2 [J07]; instructor's slides
3: January 24 and 26	Causal and Bayesian Networks	Ch.2 [J07]
4: January 31 and February 2	Causal and Bayesian Networks	Ch.2 [J07]
5: February 7 and 9	Building Models: Capturing the Structure and Determining the Conditional Probabilities	Sections 3.1 and 3.2 [J07]
6: February 14 and 16	Building Models: Capturing the Structure and Determining the Conditional Probabilities and Midterm	Sections 3.1 and 3.3 [J07] and Notes on the Stratum Method
7: February 21 and 23	Building Models: Advanced Modeling Methods and Special Features	Sections 3.3 and 3.4 [J07]
8: February 28 and March 1	Video on Probabilistic Relational Models (Daphne Koller) and Building Models: Advanced Modeling Methods and Special Features	Video; Sections 3.3 and 3.4 [J07]
9: March 13 and 15	Belief Updating in Bayesian Networks: the Junction Tree Method	Ch.4 [J96]
10: March 20, 22	Belief Updating in Bayesian Networks: The Junction Tree Method	Ch.4 [J96]
11: March 26 and 29	Belief Updating in Bayesian Networks: Lazy Propagation and Factor Trees	Sections 4.1-4.6 [J07] and Notes
12: April 3 and 5	Belief Updating in Bayesian Networks: Iterative Methods; Assignment of papers for graduate student presentations	Sections 4.8-4.9 [J07]
13: April 10 and 12	Graphical Languages for Decision Problems	Ch.9 [J07]
14: April 17 and 19	Topics in Decision Problems; Student Presentations	Sections of Chs. 10 and 11 [J07]