CSCE 582 Spring 2020 Time Allocation Framework: Second Continued Operations Revised Syllabus Spring 2020

The following changes were carried out as a consequence of the cancellation of classes during the week of March 17 and the continuation of the course as online only from March 23:

The textbook is:

  • Jensen, Finn V. and Thomas D. Nielsen. Bayesian Networks and Decision Graphs. New York: Springer-Verlag, 2007 (ISBN-10 0-387-68281-3; ISBN-13: 978-0-387-68281-5) (Approximately $70 at amazon.com. This text is referred to as [J07].)

    Other recommended books on the topic are:

    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 14, 2020. The last day to drop the course without a grade of "W" being recorded is Tuesday, January 21, 2020. The last day to withdraw without failure is Monday, April 6, 2020. The last day of classes is Thursday, April 23, 2020. Reading Day is Tuesday, April 28, 2020. The final exam for the course is Thursday, April 30, 2020, at 1230 in the classroom (SWGR 2A22). This is the regularly scheduled time for courses taught from 1140 to 1255 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 exam is tentative.

    WeekLecture Topics ReadingsHomework
    1: January 13 and 15Probability and Reasoning Chs.1 and 2 [J07]; instructor's slides See Lecture Log
    2: January 21 and 23 Probability and Reasoning Chs.1 and 2 [J07]; instructor's slides See Lecture Log
    3: January 28 and 30 Causal and Bayesian Networks Ch.2 [J07] See Lecture Log
    4: February 4 and 6 Causal and Bayesian Networks Ch.2 [J07] See Lecture Log
    5: February 11 and 13 Building Models: Capturing the Structure and Determining the Conditional Probabilities Sections 3.1 and 3.2 [J07] See Lecture Log
    6: February 18 and 20 Building Models: Capturing the Structure and Determining the Conditional Probabilities Sections 3.2 and 3.3 [J07] and Notes on the Stratum Method See Lecture Log
    7: February 25 and 27 Building Models: Advanced Modeling Methods and Special Features Sections 3.3 and 3.4 [J07]
    8: March 3 and 5 Midterm and Building Models: Advanced Modeling Methods and Special Features Sections 3.3 and 3.4 [J07] See Lecture Log
    9: March 10 and 12 Spring Break No Assigned Readings No Homework Due
    10: March 17 and 19 Classes Canceled No Assigned Readings No Homework Due
    11: March 24 and 26 Interventions: excision (cut) semantics; forcing variables; example form Korb and Nicholson. Object-oriented BNs. Repetitive models: temporal BNs, Dynamic Bayesian Networks (DBNs), Hidden Markov Models (HMMs), Kalman filters. Sections 3.2.6, 3.3.9 causality and intervention), 3.3.6 (OOBNs), 3.3.7 (DBNs, HMMs, and other repetitive models) [J07]. Video presentations of February 25 (Wed) 2009 and February 27 (Fri), 2009 HW8: Exercises 3.10 (i only), 3.12 (i and ii only), 3.13 (i-iii only)
    12: March 31 and April 2 Belief Updating in Bayesian Networks: The Junction Tree Method Ch.4 [J96] (lecture) and Ch. 4 [J07] (offline reading). Video Presentations of March 6 (end), March 16, March 18, March 20, March 23, March 27, March 30 (beginning), all 2009. No Homework Due
    13: April 7 and 9 Belief Updating in Bayesian Networks: Stochastic Simulation and Loopy Belief Propagation Sections 4.7-4.8 [J07]; Section 4.6 [J96]. Video presentations of March 30 2009 and April 1 2009. HW9: Exercises 3.16 (use a Bayesian network), 3.19 (Do not use the Noisy-OR approximation and enter your model in Hugin), 3.20, 3.21 (part ii only) (in 3.19, you did not use the Noisy-OR approximation; in 3.21 you use it in the "additive" form of Figure 3.31)
    14: April 14 and 16 Graphical Languages for Decision Problems Ch.9 [J07]. Video presentations of April 3 2009 through April 13 2009. HW10: Exercises 3.7 and 3.29
    15: April 21 and 23 Graphical Languages for Decision Problems Ch.9 [J07]. Video presentations of April 3 2009 through April 13 2009. No Homework Due