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Faculty of Applied Science & Engineering · St. George

ESC190H1

Computer Algorithms and Data Structures

Credit0.50
PrerequisiteESC180H1
Total contact hours36.6 lecture · 36.6 practical
Evidence1 term

What was the average?

B+

3.3 GPA across 1 observed term. Most recent: Winter 2019.

How is it graded?

Not yet verified

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

How confident is this?

Low

A small number of terms, so read it as a range. The most recent observation is several years old.

From the calendar

Official source · Faculty of Applied Science & Engineering

The second of two courses that introduce students to programming and computational thinking. The course introduces the C programming language as well as fundamental algorithms and data structures. Students will work with lists, stacks, queues, trees, hash tables, and graphs.

Prerequisite
ESC180H1
Exclusions
APS106H1CSC192H1ECE244H1MIE250H1
Contact hours
36.6 lecture · 36.6 practical
Total scheduled hours for the course, not per week.

What people actually got

Last observed Winter 2019
B+

3.3 GPA

1 term observed

n = 1student 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.

The newest observation is from Winter 2019. Instructors, weighting and exam format may all have changed since — treat this as history, not a forecast.

This rests on 1 reported term. 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.

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 current averageThe newest verified observation is from Winter 2019. Later terms have no confirmed result yet.
Per-term breakdownHeld back deliberately. Splitting 1 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
ClaimSourceCapturedStatus
Course description, prerequisites, exclusions, contact hoursFaculty of Applied Science & Engineering2026-07-25public fact
Historical average across 1 termStudent contributions, consented2026-07-25user contributed aggregate

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 A claim whose source moves is withdrawn before it goes stale.

What this opens up

7 courses list ESC190H1 as a prerequisite

The other 4 have no page yet. Listing a course here means it names ESC190H1 among its prerequisites — often as one of several ways to satisfy the same requirement, so this is what ESC190H1 makes available, not what it alone guarantees.

Around this course

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ESC190H1 average — UofT | Pyko