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

94 responses

4.39

/ 5

strongly agree
53%
agree
38%
disagree
4%
strongly disagree
2%
25%
50%
75%
100%

Clear Expectations

35 responses

3.91

/ 5

strongly agree
46%
agree
23%
neither agree nor disagree
17%
disagree
6%
strongly disagree
9%
25%
50%
75%
100%

Learned a Lot

94 responses

4.04

/ 5

strongly agree
39%
agree
44%
disagree
10%
strongly disagree
5%
25%
50%
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%
100%

Fair Assessments

93 responses

4.19

/ 5

strongly agree
43%
agree
41%
disagree
11%
strongly disagree
1%
question not applicable
4%
25%
50%
75%
100%