University of Toronto Scarborough

CSCA20H3

Introduction to Programming

PrerequisiteNone listed

Evidence2 terms · 2 papers

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What was the average?

2.85 GPA across 2 observed terms. Most recent: Fall 2025.

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 · University of Toronto Scarborough

An introduction to computer programming, with an emphasis on gaining practical skills. Introduction to programming, software tools, database manipulation. This course is appropriate for students with an interest in programming and computers who do not plan to pursue a Computer Science program.

Prerequisite: None listed
Exclusions: CSCA08H3

What people actually got

Last observed Fall 2025

2.85 GPA

2 terms observed

n = 2student contributedScarborough 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.

This rests on 2 reported terms. It is shown because hiding it would not make it less true, but one or two results are a datapoint, not a distribution — a single unusual cohort moves this number a long way.

How well we know this course

2015–2018

Pyko’s archive holds 19 documents for CSCA20H3, across 4 years between 2015 and 2018.

2: Final exams
1: Solution sets
3: Lecture notes
5: Tutorial material
5: Lab handouts
3: Handouts

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.

Per-term breakdownHeld back deliberately. Splitting 2 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.

Source ledger

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Sources behind every claim on this page
Claim	Source	Captured	Status
Course description, prerequisites, exclusions, contact hours	University of Toronto Scarborough	2026-07-25	public fact
Historical average across 2 terms	Student contributions, consented	2026-07-25	user contributed aggregate
19 archived documents, 2015-2018	Pyko archive	2026-07-25	index only

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 A claim whose source moves is withdrawn before it goes stale.

What this opens up

4 courses list CSCA20H3 as a prerequisite

STA302H1Methods of Data Analysis I STA314H1Statistical Methods for Machine Learning I STA414H1Statistical Methods for Machine Learning II STA442H1Methods of Applied Statistics

Listing a course here means it names CSCA20H3 among its prerequisites — often as one of several ways to satisfy the same requirement, so this is what CSCA20H3 makes available, not what it alone guarantees.

Around this course

CSCA08H3Cannot be taken with this course

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