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Faculty of Arts & Science · St. George

CSC104H1

Computational Thinking

PrerequisiteNone listed
Total contact hours24 lecture · 12 tutorial
Evidence10 papers

What was the average?

Not reported

No student has contributed a result for this offering yet.

How is it graded?

Not yet verified

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

How confident is this?

Unknown

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

From the calendar

Official source · Faculty of Arts & Science

Humans have solved problems for millennia on computing devices by representing data as diverse numbers, text, images, sound and genomes, and then transforming the data. A gentle introduction to designing programs (recipes) for systematically solving problems that crop up in diverse domains such as science, literature, and graphics. Social and intellectual issues raised by computing. Algorithms, hardware, software, operating systems, the limits of computation. Note: you may not take this course concurrently with any Computer Science course, but you may take CSC108H1/ CSC148H1 after CSC104H1.

Prerequisite
None listed
Exclusions
CSC196H1CSC197H1CSC199H1JCC250H1
Contact hours
24 lecture · 12 tutorial
Total scheduled hours for the course, not per week.

How well we know this course

2015–2020

Pyko’s archive holds 28 documents for CSC104H1, across 4 years between 2015 and 2020.

10
Final exams
8
Problem sets
3
Lecture notes
3
Tutorial material
3
Handouts
1
Syllabi

Counts, not a library. Pyko does not host or distribute course files, and this page is not an offer to supply one — the archive is what lets these pages describe how a course is assessed, which matters most where no syllabus has been verified.

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.
A course averageNo term has been reported for this offering. Averages come from students who contribute their own results, and nobody has yet.
Instructor-level detailAverages are not split by instructor. At these sample sizes the difference between sections is noise, not signal.

Source ledger

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Sources behind every claim on this page
ClaimSourceCapturedStatus
Course description, prerequisites, exclusions, contact hoursFaculty of Arts & Science2026-07-25public fact
28 archived documents, 2015-2020Pyko archive2026-07-25index only

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 A claim whose source moves is withdrawn before it goes stale.

Around this course

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CSC104H1 past exams — UofT | Pyko