Faculty of Arts & Science · St. George

CSC300H1

Computers and Society

Prerequisite0.5 credit in CSC

Total contact hours24 lecture · 12 tutorial

Evidence4 terms

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What was the average?

A-

3.5 GPA across 4 observed terms. Most recent: Winter 2026.

How is it graded?

Not yet verified

No syllabus we can lawfully use has been verified for this course.

How confident is this?

High

A small number of terms, so read it as a range.

From the calendar

Official source · Faculty of Arts & Science

This course offers a concise introduction to ethics in computing, distilled from the ethical and social discussions carried on by today's academic and popular commentators. This course covers a wide range of topics within this area including the philosophical framework for analyzing computer ethics; the impact of computer technology on security, privacy and intellectual property, digital divide, and gender and racial discrimination; the ethical tensions with Artificial Intelligence around future of work and humanity, the emerging role of online social media over voice, inclusion, and democracy; and the environmental consequences of computing.

Prerequisite: 0.5 credit in CSC
Exclusions: CSC300H5CSCD03H3
Contact hours: 24 lecture · 12 tutorial; Total scheduled hours for the course, not per week.

What people actually got

Last observed Winter 2026

A-

3.5 GPA

4 terms observed

n = 4student contributedSt. George offerings only

This is a student-contributed aggregate, not an official University of Toronto record. It is also not a measure of how hard the course is — a course average moves with who enrols in it, not only with the material.

Per-term figures stay hidden until each term clears five contributors. 4 observations can support one honest number; they cannot support 4.

What we don’t have yet

Assessment weightingNo syllabus we can lawfully use has been verified for this offering. Contribute yours and the breakdown appears here.

Per-term breakdownHeld back deliberately. Splitting 4 observations across terms would be false precision.

Instructor-level detailAverages are not split by instructor. At these sample sizes the difference between sections is noise, not signal.

Archive coveragePyko holds no past paper for this course. We do not host or distribute course files in any case; the archive is what lets these pages describe how a course is assessed.

Source ledger

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Sources behind every claim on this page
Claim	Source	Captured	Status
Course description, prerequisites, exclusions, contact hours	Faculty of Arts & Science	2026-07-25	public fact
Historical average across 4 terms	Student contributions, consented	2026-07-25	user contributed aggregate

Page last verified 2026-07-25. A claim whose source moves is withdrawn before it goes stale.

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