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:

CSI 4542
GradesEvaluations
All Professors
A- Average (8.053)
Most Common: A+ (27%)
562 students

P

S

NS

F

D

C

B

A-

A+

Yazan Ma'en Hasan Otoum

2 sections from Winter 2023 to Winter 2024

A- Average (8.028)
Most Common: A+ (30%)
282 students

P

S

NS

F

D

C

B

A-

A+

Unknown Professor

Winter 2022 - A00

A- Average (8.168)
Most Common: A- (29%)
125 students

P

S

NS

F

D

C

B

A-

A+

Herna Viktor

2 sections from Winter 2018 to Winter 2019

A- Average (8.006)
Most Common: A+ (27%)
155 students

P

S

NS

F

D

C

B

A-

A+