What, Who, How: Privacy in the Age of Big Data

FULL COURSE DESCRIPTION

Professor: David Liu
Subject: Computer Science
Course Code: CSC197H1F
Time: Tuesday 14:00 – 16:00

The rapid advance of technology has brought remarkable changes to how we conduct our daily lives, from how we communicate, consume news and data, and purchase goods. As we increase our online activity, so too do we increase the amount of personal data that we’re sharing, often without realizing it. The questions of exactly what data is being collected, who is collecting and accessing this data, and how this data is being used, have significant implications for both individuals and our larger social and political institutions. Organized by a wide variety of case studies drawn from current events, we’ll study how personal data can be collected and tracked, how personal and social factors may influence our own decisions about whether and how much to share our data, and what broader political and legal tools are used to either protect or subvert individual privacy.

David Liu

GOOD TO KNOW

Pre-requisites:

none

Co-requisites:

none

Exclusions:

none

Recommended Preparation:

none

Breadth designation:

Society and its Institutions (3)

CR/NCR:

Not eligible for CR/NCR option

Restrictions:

Restricted to first-year students

GET TO KNOW YOUR PROFESSOR (View as PDF)

IN THE NEWS

‘Immense energy and passion’: Innovative U of T faculty recognized with Early Career Teaching Awards

FYF instructor David Liu, an assistant professor in the Department of Computer Science, receives a 2017/18 Early Career Teaching Award—one of only three faculty members to receive this prestigious distinction.

11 Oct 2018 | U of T News