Faculty of Arts & Science · St. George

ECO404H1

Topics in Managerial Economics

Prerequisite3 requirements, 9 options

Total contact hours24 lecture · 12 tutorial

Evidence1 syllabus

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What was the average?

Not reported

No student has contributed a result for this offering yet.

How is it graded?

4 components

From the 2025 syllabus. 4 graded components.

How confident is this?

Unknown

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

From the calendar

Official source · Faculty of Arts & Science

Applies quantitative economic methods to real world business-oriented cases. Sample topics include: new product design, decision making under uncertainty, market segmentation and price discrimination, inventory analysis, game theoretic analysis of price wars, financial portfolio design, and optimal pricing. Involves substantial modeling in Excel, regression analysis, optimization methods, and financial reports. Note: hands-on analysis of real-world data using computer programs is a course requirement. The course is open to all students who meet the prerequisites and necessary support for applicable software is provided.

Contact hours: 24 lecture · 12 tutorial; Total scheduled hours for the course, not per week.

One option from each line

ECO200Y1(63%), ECO204Y1, or ECO206Y1

ECO220Y1, ECO227Y1, STA237H1 and STA238H1, STA247H1 and STA248H1, or STA257H1 and STA261H1

at least 1.0 credit in ECO at the 300+ level.

Where the marks come from

2025 syllabus

50% of Course Mark 50%

30% of Course Mark 30%

16% of Course Mark 16%

50% of Course Mark: (Group) Presentation · 50%30% of Course Mark: (Group) Business-Report · 30%16% of Course Mark (Solo) Discussion · 16%4% of Course Mark: (Solo) Discussion · 4%

Extracted from a published 2025 syllabus by deterministic parser. Components that could not be labelled are shown unresolved rather than folded into a neighbouring category.

What we don’t have yet

A course averageNo term has been reported for this offering. Averages come from students who contribute their own results, and nobody has yet.

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.

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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
Assessment weighting	Course syllabus, 2025	2026-07-25	summary permitted

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 A claim whose source moves is withdrawn before it goes stale.

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