S.#
Date
Day
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Assignments
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1
09/01/09
Tuesday
Course Outline and Objectives, Review of Independence, Conditional Independence and Bayes Theorem


Read Chapter 1 of Jensens' Book
2
09/05/09
Saturday
Introduction of Bayesian Networks (BNs), Advantages and Purpose of BNs, Local Parameters Acquisition and Generation of Joint Probability Distribution, Model Building, GeNIe Demonstration,

Assignment # 1

3
09/09/09
Wednesday
Computation of Joint Probability Distribution using Bayesian Chain Rule, Inference in Singly Connected Networks



4
09/16/09
Wednesday
Serial, Convergin and Diverging Connections, d-separation, Markov Blanket, Inference Mechanism

Project 1 Issued (Due on Oct 31, 09)
Read Chapter 2 of Jensen's Book
5
09/16/09
Wednesday
Presentations (Quratulain and Raza)


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6
09/19/09
Saturday
Presentaitons (Asma and Saleha)

Assignment # 2


09/23/09
Wednesday
No Class


Eid-ul-Fitr Holiday
7
09/26/09
Saturday
Formal Definitions - Directed Graphs, Paths and Cycles, Markov Condition and Bayesian Networks, Causal DAG, Causal Markov Assumption, Markov Condition without Causality


Read Chapter 5 of Neapolitan's Book
8
09/30/09
Wednesday
Formal Definitions - Entailed Conditional Independence, Faithful and Unfaithful Probability Distribution, Markov Equivalence, Minimal Markov Blanket


Read Chapter 6 of Neapolitan's Book
9
10/03/09
Saturday
Presentations (Raza and Quratulain)


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10
10/03/09
Saturday
Presentations (Saleha and Asma)




10/10/09
Saturday
No Class


Midterm I Week

10/14/09
Wednesday
No Class
1st Midterm on 10/14/2009

Midterm I Week
11
10/17/09
Saturday
Knowledge Acquisition: Noisy-Or


Read Section 3.3.2 (pg. 75-78) of the Jensen's book and Section 5.6.1 (pg. 117-124) of the Neapolitan's book

10/21/09
Wednesday
No Class
Holiday Announced due to Security Concerns


12
10/24/09
Saturday
Knowledge Acquisition: CAST Logic and Recursive Noisy-Or

Assignment # 3
Papers on CAST Logic and Recursive Noisy-Or can be download from here

10/28/09
Wednesday
No Class



13
10/31/09
Saturday
Project-I Presentations


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14
10/31/09
Saturday
Project-I Presentations



15
11/04/09
Wednesday
Belief Updating in Multiply Connected Networks - Building a Junction Tree from a Bayesian Network (Moralization, Triangulation, Maximum Cardinality Search)



16
11/07/09
Saturday
Model Building Presentations



17
11/11/09
Wednesday
Unit 9 (Cont'd) - Properties of Clique and Junction Trees, More Examples of Building JT from a BN



18
11/14/09
Saturday
Approximate Inference: Logic Sampling and Likelihood Weighting


Read Sections 4.8.1 and 4.8.2 of Jensen's book
19
11/18/09
Wednesday
Likelihood Weighting (Cont'd), Loopy Belief Propagation
Working of simulation schemes:



11/21/09
Saturday
No Class


Midterm II Week

11/25/09
Wednesday
No Class


Midterm II Week

11/28/09
Saturday
No Class


Eid-ul-Adha Holiday
21
12/02/09
Wednesday
Junction Tree Revisited, Parameter Learning, Equivalent Sample Size for Prior


Read Chapter 7 of Neapolitan's Book


22
12/05/09
Saturday
Junction Tree (Cont'd)



23
12/09/09
Wednesday
Structure Learning, Bayesian Score, Computing Probability of Data Given a DAG, Learning a DAG Pattern


Read Chapter 8 of Neapolitan's Book
24
12/09/09
Wednesday
Project II - Ideas Discussion



25
12/12/09
Saturday
Structure Learning (Cont'd), K2 Algorithm, Greedy Search Algorithm, Consistent Scoring Criterion, BN PowerConstructor Demo



26
12/16/09
Wednesday
Dynamic Bayesian Networks, Inference Mechanism, Support in GeNIe


Read Section 4.4 of Kjaerulff and Madsen's Book
Papers on Dynamic Influence Nets can be downloaded from here
27
12/19/09
Saturday
Timed/Dynamic Influence Nets



28
12/23/09
Wednesday
Sensitivity Analysis


Korb & Nicholson Ch: 10, Paper on Sensitivity Analysis in Influence Nets can be downloaded from here
29
12/30/09
Wednesday
Knowledge Engineering


Korb & Nicholson Ch: 9
30
01/02/10
Saturday
Project II - Presentations


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31
01/02/10
Saturday
Project II - Presentations


View Presentations