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Course Description

Blockchain has the potential to revolutionize how companies compete and stakeholders collaborate with trusted data. This course reviews how blockchain features can improve transparency, access and integrity of data. The student becomes familiar with real-life applications where blockchain converges with other Industry 4.0 and 4IR technologies (such as connected devices and artificial intelligence) to solve problems. The course introduces other critical components of trusted data and emerging technology, including personal data handling compliance, data protection, digital identity and ethics.

Course Outline

This course reviews the role and potential of blockchain technology in trusted data within the context of an organization’s overall digitization journey. As blockchain is one piece of the information technology (IT) puzzle, the course also explores how blockchain complements other Industry 4.0/4IR technologies (such as Internet of Things and Artificial Intelligence) to help solve critical challenges.

Prerequisites

Completion of MGMT X 457.1 Fundamentals of Blockchain Technology course recommended, or prior experience in basic blockchain concepts.
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Review Sections
Section Title
Digital Transformation: Blockchain, IoT, AI, and Trusted Data
Type
Online
Dates
Jun 24, 2024 to Sep 08, 2024
Delivery Options
Online  
Course Fee(s)
Standard credit (4 units) $1,050.00
Available for Credit
4 units
Refund Request Deadline
Apr 29, 2024 to Jun 30, 2024
Transfer Request Deadline
Apr 29, 2024 to Jun 30, 2024
Withdrawal Request Deadline
Jul 01, 2024 to Sep 01, 2024
Instructors
Section Notes

Enrollment limited; early enrollment advised. Enrollment deadline: Jun. 23

Section Title
Digital Transformation: Blockchain, IoT, AI, and Trusted Data
Type
Online
Dates
Sep 23, 2024 to Dec 08, 2024
Delivery Options
Online  
Course Fee(s)
Standard credit (4 units) $1,050.00
Available for Credit
4 units
Refund Request Deadline
Jul 29, 2024 to Sep 29, 2024
Transfer Request Deadline
Jul 29, 2024 to Sep 29, 2024
Withdrawal Request Deadline
Sep 30, 2024 to Dec 01, 2024
Instructors
Section Notes

Enrollment limited; early enrollment advised. Enrollment deadline: Sept. 22

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