MAT 4371 Applied Probability

3 units
Mathematics
Faculty of Science
An introduction to stochastic processes, with emphasis on Markov processes. Review of basic probability, limit theorems and conditioning. The Poisson process. Limit theorems for regenerative processes. Discrete-time and continuous-time Markov processes. Hidden Markov processes on finite state spaces. Applications chosen from signal processing, queuing theory, economics, finance and actuarial sciences.

Components:

Lecture

Requirements:

Prerequisites: MAT 2371 , ( MAT 2141 or MAT 2342 ).

Previously Offered Terms:

Winter

French Equivalent:

Organized

106 responses

4.31

/ 5

strongly agree
52%
agree
37%
disagree
7%
strongly disagree
3%
25%
50%
75%
100%

Clear Expectations

47 responses

4.06

/ 5

strongly agree
51%
agree
21%
neither agree nor disagree
17%
disagree
4%
strongly disagree
6%
25%
50%
75%
100%

Learned a Lot

106 responses

4.08

/ 5

strongly agree
43%
agree
40%
disagree
9%
strongly disagree
6%
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75%
100%

Recommend

59 responses

3.88

/ 5

strongly agree
31%
agree
51%
disagree
14%
strongly disagree
5%
25%
50%
75%
100%

Workload

59 responses

2.64

/ 5

very heavy
12%
heavier than average
22%
average
58%
lighter than average
7%
very light
2%
25%
50%
75%
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Fair Assessments

105 responses

4.23

/ 5

strongly agree
44%
agree
42%
disagree
10%
strongly disagree
1%
question not applicable
4%
25%
50%
75%
100%