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Course Description

This course is an introduction to different aspects of data science. The focus is on data collection and management and then applying data analytics, statistical and machine learning models on the collected data. The topics of the course include big data, data models, distributed computing, regression and statistical analysis, neural networks, support vector machines, scalable machine learning models, basics of natural language processing, recommendation systems, and analyzing social graphs. All these topics will be discussed at the introductory level.

Requisites

Prerequisites: CCPS 209 and (CMTH 380 or CMTH 304)
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Course Sections
Class Number
5606
Type
LEC
Days
T
Time
6:00PM to 10:00PM
Dates
Sep 10, 2024 to Dec 10, 2024
Schedule
View Details
Contact Hours
52.0
Location
  • Downtown
Delivery Options
Classroom  
Fees
Domestic Fee non-credit $888.01 Click here to get more information
Domestic Out of Province Fee non-credit $0.00 Click here to get more information
International Fee non-credit $0.00 Click here to get more information
Class Number
1102
Type
LEC
Days
M, W
Time
6:00PM to 10:00PM
Dates
May 05, 2025 to Jun 18, 2025
Schedule
View Details
Contact Hours
52.0
Location
  • Downtown
Delivery Options
Classroom  
Fees
Domestic Fee non-credit $888.01 Click here to get more information
Domestic Out of Province Fee non-credit $0.00 Click here to get more information
International Fee non-credit $0.00 Click here to get more information