MAT 4374 Computational Statistics

3 units
Mathematics
Faculty of Science
Computational workflow and notebooks. Integration with quadrature and Monte Carlo (rejection, importance and Markov chain sampling). Optimization techniques such as the EM algorithm and gradient descent. Error estimation such as bootstrap and cross-validation. Simulation studies. Statistical programming and the use of statistical software. Other topics in computational statistics at instructor’s discretion.

Components:

Lecture

Requirements:

Prerequisites: MAT 3172 , MAT 3375 .

Previously Offered Terms:

Fall
Winter

French Equivalent:

Organized

54 responses

4.31

/ 5

strongly agree
61%
agree
22%
disagree
7%
strongly disagree
6%
25%
50%
75%
100%

Clear Expectations

31 responses

3.81

/ 5

strongly agree
48%
agree
19%
neither agree nor disagree
10%
disagree
10%
strongly disagree
13%
25%
50%
75%
100%

Learned a Lot

54 responses

4.15

/ 5

strongly agree
52%
agree
30%
disagree
13%
strongly disagree
4%
25%
50%
75%
100%

Recommend

23 responses

4.26

/ 5

strongly agree
43%
agree
48%
disagree
9%
strongly disagree
0%
25%
50%
75%
100%

Workload

23 responses

2.13

/ 5

very heavy
17%
heavier than average
52%
average
30%
lighter than average
0%
very light
0%
25%
50%
75%
100%

Fair Assessments

54 responses

4.06

/ 5

strongly agree
48%
agree
31%
disagree
13%
strongly disagree
6%
question not applicable
2%
25%
50%
75%
100%