No student has contributed a result for this offering yet.
How is it graded?
50% final
From the Fall 2026 syllabus. 28 graded components.
How confident is this?
Unknown
A small number of terms, so read it as a range.
From the calendar
Official source · University of Toronto Mississauga
This course teaches students how to assess the quality of persuasive arguments. Students will learn to identify, reconstruct, and evaluate arguments, diagnose fallacies, and recognize cognitive biases through readings, lectures, and application sessions.
Prerequisite
None listed
Where the marks come from
Fall 2026 syllabus
Final Exam 50%
Midterm Test 30%
Final Exam · 50%Midterm Test · 30%Application Session Worksheet 1 · 0.91%Application Session Worksheet 10 · 0.91%Application Session Worksheet 11 · 0.91%Application Session Worksheet 2 · 0.91%Application Session Worksheet 3 · 0.91%Application Session Worksheet 4 · 0.91%Application Session Worksheet 5 · 0.91%Application Session Worksheet 6 · 0.91%Application Session Worksheet 7 · 0.91%Application Session Worksheet 8 · 0.91%Application Session Worksheet 9 · 0.91%Readiness Assessment Test 1 · 0.77%Readiness Assessment Test 10 · 0.77%Readiness Assessment Test 11 · 0.77%Readiness Assessment Test 12 · 0.77%Readiness Assessment Test 13 · 0.77%Readiness Assessment Test 14 · 0.77%Readiness Assessment Test 15 · 0.77%Readiness Assessment Test 2 · 0.77%Readiness Assessment Test 3 · 0.77%Readiness Assessment Test 4 · 0.77%Readiness Assessment Test 5 · 0.77%Readiness Assessment Test 6 · 0.77%Readiness Assessment Test 7 · 0.77%Readiness Assessment Test 8 · 0.77%Readiness Assessment Test 9 · 0.77%
50% of the grade is decided in the final alone. Steady coursework cannot carry this course on its own.
Extracted from a published Fall 2026 syllabus — verified against the university's own document. Components that could not be labelled are shown unresolved rather than folded into a neighbouring category.
lowest 2 quiz(s) dropped
lowest 2 homework(s) dropped
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.
Pyko is an independent student platform. It is not affiliated with, endorsed by, or operated by the University of Toronto. Course names and codes are used descriptively to identify courses.
