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Privacy Engineering Essentials

 

Jun 24 2024, Monday - Jun 26 2024, WednesdaySee Schedule below for times (GMT +8:00) Kuala Lumpur, Singapore

 

Online

, Singapore

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Overview

The digital economy runs on data. These days, individuals are sharing more and more of their personal data with various organisations. Yet, it is not uncommon that we have seen cases of data breaches or misuse of the personal data that violate privacy and causing harms to individuals. Privacy engineering is an emerging discipline which aims to ensure that privacy frameworks, methodologies and techniques are used to embed privacy into products and systems.

Course Description & Learning Outcomes

In this course, participants will learn the essence of privacy engineering with a multi-disciplinary perspective, from law and technology to usability and business. Participants will gain practical knowledge of privacy engineering principles and frameworks. They will learn the principles of privacy, data protection laws, privacy-by-design approach, privacy risk models, techniques in privacy designs and dark patterns, privacy enhancing technologies (PET), and privacy challenges from technologies development from surveillance to Internet of Things (IoT) to Artificial Intelligence (AI).

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Schedule

Start Date: 24 Jun 2024, Monday
End Date: 26 Jun 2024, Wednesday

Location: Online

Pricing

Course Pricing

Speakers

Trainer's Profile:

Mr Wong Kar Hong, Instructor, NUS Advanced Computing for Executives
Mr Wong Kar Hong

Wong Kar Hong has 30 years of experience in Information Technology (IT) with specialized knowledge in Data Protection and Governance, Hospitality Technology and Geographic Information System. He was a National Computer Board (NCB) scholar and started his career with NCB. He has extensive working experience in China where he held various IT positions with Ericsson China, InterContinental Hotels Group (IHG) China and Giti Tire China. He is currently the founder and chief consulting officer at Young Technology Consulting Pte Ltd, a company that specializes in data privacy and protection.

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