Faculty of Applied Science & Engineering · St. George

APS106H1

Fundamentals of Computer Programming

Credit0.50

PrerequisiteNone listed

Total contact hours36.6 lecture · 24.4 practical · 12.2 tutorial

Evidence3 terms

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What was the average?

B-

2.57 GPA across 3 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?

Med

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

From the calendar

Official source · Faculty of Applied Science & Engineering

An introduction to computer systems and software. Topics include the representation of information, algorithms, programming languages, operating systems and software engineering. Emphasis is on the design of algorithms and their implementation in software. Students will develop a competency in the Python programming language. Laboratory exercises will explore the concepts of both Structure-based and Object-Oriented programming using examples drawn from mathematics and engineering applications.

Prerequisite: None listed
Contact hours: 36.6 lecture · 24.4 practical · 12.2 tutorial; Total scheduled hours for the course, not per week.

What people actually got

Last observed Winter 2026

B-

2.57 GPA

3 terms observed

n = 3student 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. 3 observations can support one honest number; they cannot support 3.

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 3 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 Applied Science & Engineering	2026-07-25	public fact
Historical average across 3 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.

What this opens up

12 courses list APS106H1 as a prerequisite

APS360H1Applied Fundamentals of Deep Learning CSC263H1Data Structures and Analysis CSC311H1Introduction to Machine Learning CSC318H1The Design of Interactive Computational Media CSC401H1Natural Language Computing CSC485H1Computational Linguistics MIE250H1Fundamentals of Object Oriented Programming

The other 5 have no page yet. Listing a course here means it names APS106H1 among its prerequisites — often as one of several ways to satisfy the same requirement, so this is what APS106H1 makes available, not what it alone guarantees.

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