SYS 5111 Foundations and Applications of Machine Learning

3 units
Systems Science
Faculty of Engineering
The capabilities and limitations of machine learning; problem formulation; supervised and unsupervised learning techniques; deploying, monitoring, and evaluating machine learning models; storytelling and assessing the results of learning; current advances in application areas such as business, law, arts, social sciences and education.

Components:

Lecture

Requirements:

The courses CSI 4145 , CSI 5155 , ELG 5255 , IAI 5100 , SYS 5111 cannot be combined for units.

Previously Offered Terms:

Winter

Organized

18 responses

4.50

/ 5

strongly agree
67%
agree
22%
neither agree nor disagree
6%
disagree
6%
strongly disagree
0%
25%
50%
75%
100%

Clear Expectations

18 responses

4.33

/ 5

strongly agree
61%
agree
22%
neither agree nor disagree
6%
disagree
11%
strongly disagree
0%
25%
50%
75%
100%

Learned a Lot

18 responses

4.28

/ 5

strongly agree
56%
agree
28%
neither agree nor disagree
11%
disagree
0%
strongly disagree
6%
25%
50%
75%
100%

Fair Assessments

18 responses

4.44

/ 5

strongly agree
56%
agree
33%
neither agree nor disagree
11%
disagree
0%
strongly disagree
0%
25%
50%
75%
100%