CSI 4142 Fundamentals of Data Science

3 units
Computer Science
Faculty of Engineering
Big data, analytics, and cloud computing; data preparation: organization, basic statistics, cleaning, and integration; data mining techniques: pattern mining, classification, clustering, outlier and anomaly detection; model evaluation; data warehousing and multi-dimensional analysis; data visualization and visual data analytics.

Components:

Lecture

Requirements:

Prerequisites: CSI 2132 , ( CSI 3120 or SEG 2106 ), MAT 2377 or ( MAT 2371 and MAT 2375 ).

Previously Offered Terms:

Winter

French Equivalent:

Organized

230 responses

4.15

/ 5

strongly agree
44%
agree
41%
disagree
9%
strongly disagree
4%
25%
50%
75%
100%

Clear Expectations

146 responses

4.10

/ 5

strongly agree
43%
agree
35%
neither agree nor disagree
14%
disagree
5%
strongly disagree
3%
25%
50%
75%
100%

Learned a Lot

230 responses

4.19

/ 5

strongly agree
46%
agree
41%
disagree
8%
strongly disagree
3%
25%
50%
75%
100%

Recommend

84 responses

4.02

/ 5

strongly agree
31%
agree
56%
disagree
11%
strongly disagree
2%
25%
50%
75%
100%

Workload

84 responses

2.30

/ 5

very heavy
12%
heavier than average
46%
average
42%
lighter than average
0%
very light
0%
25%
50%
75%
100%

Fair Assessments

230 responses

4.01

/ 5

strongly agree
43%
agree
38%
disagree
12%
strongly disagree
6%
question not applicable
2%
25%
50%
75%
100%