University of Toronto Scarborough

GGRA30H3

Geographic Information Systems (GIS) and Empirical Reasoning

PrerequisiteNone listed

Evidence1 term

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What was the average?

B-

2.7 GPA across 1 observed term. Most recent: Fall 2022.

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 · University of Toronto Scarborough

Students learn fundamental concepts concerning the structure and effective uses of geographical data and practical skills that will help them to find and apply geographical data appropriately in their studies. Hands-on exercises using a variety of software allow students to gain experience in finding, processing, documenting, and visualizing geographic data. Lecture topics introduce students to the opportunities and challenges of using geographical data as empirical evidence across a range of social science topics.

Prerequisite: None listed

What people actually got

Last observed Fall 2022

B-

2.7 GPA

1 term observed

n = 1student 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.

The newest observation is from Fall 2022. 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 Fall 2022. 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
Claim	Source	Captured	Status
Course description, prerequisites, exclusions, contact hours	University of Toronto Scarborough	2026-07-25	public fact
Historical average across 1 term	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.

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