Faculty of Arts & Science · St. George

EEB125H1

Introductory Computation and Data Science for the Life Sciences

PrerequisiteNone listed

Total contact hours24 lecture · 12 tutorial

Evidence1 term · 1 papers

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What was the average?

B+

3.3 GPA across 1 observed term. 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?

Low

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

From the calendar

Official source · Faculty of Arts & Science

Life scientists increasingly use big and complex datasets to answer questions about society and the natural world. In this course, students will develop introductory programming knowledge and data acumen to explore topics drawn from biology. Students will learn to create and run computer programs, organize ideas using data to communicate clearly to others, break a complex problem into simpler parts, apply general data science principles to specific cases, distinguish causation from correlation and coincidence, and negotiate tradeoffs between different computational and statistical approaches.

Prerequisite: None listed
Exclusions: CSC110Y1CSC148H1GGR274H1STA130H1STA238H1STA248H1STA261H1
Contact hours: 24 lecture · 12 tutorial; Total scheduled hours for the course, not per week.

What people actually got

Last observed Winter 2026

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.

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.

How well we know this course

2022–2024

Pyko’s archive holds 2 documents for EEB125H1, across 2 years between 2022 and 2024.

1: Final exams
1: Syllabi

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 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.

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 Arts & Science	2026-07-25	public fact
Historical average across 1 term	Student contributions, consented	2026-07-25	user contributed aggregate
2 archived documents, 2022-2024	Pyko archive	2026-07-25	index only

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 A claim whose source moves is withdrawn before it goes stale.

Around this course

CSC110Y1Cannot be taken with this course CSC148H1Cannot be taken with this course GGR274H1Cannot be taken with this course STA130H1Cannot be taken with this course

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