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Faculty of Applied Science & Engineering · St. George

ECE345H1

Algorithms and Data Structures

Credit0.50
Prerequisite1 requirement, 2 options
Total contact hours36.6 lecture · 24.4 tutorial
Evidence2 terms

What was the average?

B+

3.15 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 · Faculty of Applied Science & Engineering

Design and analysis of algorithms and data structures that are essential to engineers in every aspect of the computer hardware and software industry. Recurrences, asymptotics, summations, trees and graphs. Sorting, search trees and balanced search trees, amortized analysis, hash functions, dynamic programming, greedy algorithms, graph algorithms, minimum spanning trees, shortest paths, introduction to Nondeterministic Polynomial (NP) completeness and complexity, and other new trends in algorithms and data structures including secure data processing, vulnerability analysis and risk mitigation.

Contact hours
36.6 lecture · 24.4 tutorial
Total scheduled hours for the course, not per week.

Any one of these

ECE244H1, or minor.

What people actually got

Last observed Fall 2025
B+

3.15 GPA

2 terms observed

n = 2student 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.

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.

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.
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 2 termsStudent 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 ECE345H1 as a prerequisite

The other 3 have no page yet. Listing a course here means it names ECE345H1 among its prerequisites — often as one of several ways to satisfy the same requirement, so this is what ECE345H1 makes available, not what it alone guarantees.

You’ve read the average. Now use it.

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ECE345H1 average — UofT | Pyko