CSI 5149 Graphical Models and Applications

3 units
Computer Science
Faculty of Engineering
Bayesian networks, factor graphs, Markov random fields, maximum a posteriori probability (MAP) and maximum likelihood (ML) principles, elimination algorithm, sum-product algorithm, decomposable and non-decomposable models, junction tree algorithm, completely observed models, iterative proportional fitting algorithm, expectation- maximization (EM) algorithm, iterative conditional modes algorithm, variational methods, applications. Courses CSI 5149 (COMP 5007), ELG 5131 (EAGJ 5131) and ELG 7177 (EACJ 5605) cannot be combined for units. This course is equivalent to COMP 5007 at Carleton University.

Components:

Lecture

Requirements:

Permission of the Department is required.

Previously Offered Terms:

Fall

Organized

41 responses

4.20

/ 5

strongly agree
49%
agree
39%
disagree
7%
strongly disagree
5%
25%
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75%
100%

Learned a Lot

41 responses

4.51

/ 5

strongly agree
59%
agree
39%
disagree
0%
strongly disagree
2%
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75%
100%

Recommend

41 responses

4.34

/ 5

strongly agree
46%
agree
49%
disagree
2%
strongly disagree
2%
25%
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75%
100%

Workload

41 responses

2.22

/ 5

very heavy
15%
heavier than average
49%
average
37%
lighter than average
0%
very light
0%
25%
50%
75%
100%

Fair Assessments

41 responses

4.24

/ 5

strongly agree
41%
agree
51%
disagree
5%
strongly disagree
2%
question not applicable
0%
25%
50%
75%
100%