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

194 responses

4.06

/ 5

strongly agree
38%
agree
46%
disagree
10%
strongly disagree
4%
25%
50%
75%
100%

Clear Expectations

110 responses

3.92

/ 5

strongly agree
32%
agree
42%
neither agree nor disagree
16%
disagree
6%
strongly disagree
4%
25%
50%
75%
100%

Learned a Lot

194 responses

4.11

/ 5

strongly agree
42%
agree
43%
disagree
9%
strongly disagree
4%
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

194 responses

3.89

/ 5

strongly agree
37%
agree
41%
disagree
13%
strongly disagree
7%
question not applicable
2%
25%
50%
75%
100%