Course: CSC311H1 (Introduction to Machine Learning) in CSC department at University of Toronto.

Credit Hours: 24 • Academic Level: third-year undergraduate course

Course Requirements: Requires 49 prerequisite courses

Prerequisite Chain Depth: 5 levels of foundational courses required

Future Opportunities: Unlocks 6 advanced courses for further study

Interdisciplinary Requirements: Prerequisites span 10 different departments

Course Type: Core pathway course - critical for degree progression

Part of the CSC curriculum at University of Toronto, helping students progress through degree requirements.

Prerequisites for CSC311H1

Courses unlocked by CSC311H1

Academic Planning at University of Toronto

Students planning CSC311H1 at University of Toronto should complete 49 prerequisites before enrollment.

Course Sequence: This course requires a 5-level prerequisite chain, requiring careful multi-semester planning for optimal progression.

Future Pathways: Completing CSC311H1 enables enrollment in 6 advanced courses for further study

This third-year course at University of Toronto integrates into structured degree pathways for CSC programs, supporting timely graduation and academic progression.