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Course Description

This course will be based on a hands-on application of data mining and deep learning techniques in a project setting. The advanced capstone course is intended to bring advanced data analytics methods, techniques and approaches and apply them to a real-world area of interest. Working with a faculty supervisor, participants will apply what they have learned in the two courses and implement their analysis through Python and AI Platform.

Notes

Students are recommended to check Important Dates for the Chang School current term before enrolling in the course and paying the fees. Notably, the Azure Virtual Desktop assigned to students will be accessible two days after the course’s starting date, and swapping between sections will not be permitted.

Students are also encouraged to download the Microsoft Remote Desktop app to access the software needed to complete this course’s requirements. Students also need to test the compatibility of the computer they plan to use before the first session, as machines operated using a third-party administrator, such as laptops provided by a workplace, may not allow access to the required software/download(s). International students might need to use their virtual private network (VPN) software if they cannot connect to University resources.

Requisites

Prerequisite:  CIND 850
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Course Sections
Class Number
5753
Type
LEC
Dates
Jan 13, 2025 to Apr 17, 2025
Delivery Options
Online  
Fees
Domestic Fee non-credit $1,031.25 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