MIE236H1 - Probability
Course: MIE236H1 (Probability) in MIE department at University of Toronto.
Credit Hours: 38.4 • Academic Level: second-year undergraduate course
Course Requirements: No prerequisites required - suitable for beginning students
Future Opportunities: Unlocks 21 advanced courses for further study
Course Type: Foundation course - forms the base for multiple advanced topics
Part of the MIE curriculum at University of Toronto, helping students progress through degree requirements.
Courses unlocked by MIE236H1
- MIE469H1 - Reliability and Maintainability Engineering
- MIE566H1 - Decision Making Under Uncertainty
- MIE358H1 - Engineering Economics
- MIE360H1 - Systems Modelling and Simulation
- MIE363H1 - Operations and Supply Chain Management
- ECE421H1 - Introduction to Machine Learning
- MIE223H1 - Data Science
- MIE237H1 - Statistics
- MIE523H1 - Engineering Psychology and Human Performance
- MIE370H1 - Introduction to Machine Learning
- APS502H1 - Financial Engineering
- MIE263H1 - Stochastic Operations Research
- MIE524H1 - Data Mining
- CSC263H1 - Data Structures and Analysis
- MIE369H1 - Introduction to Artificial Intelligence
- CSC384H1 - Introduction to Artificial Intelligence
- CSC311H1 - Introduction to Machine Learning
- CSC401H1 - Natural Language Computing
- CSC428H1 - Human-Computer Interaction
- CSC485H1 - Computational Linguistics
- MIE434H1 - Industrial Ergonomics and the Workplace
Academic Planning at University of Toronto
Students planning MIE236H1 at University of Toronto should complete 0 prerequisites before enrollment.
Future Pathways: Completing MIE236H1 enables enrollment in 21 advanced courses for further study
This second-year course at University of Toronto integrates into structured degree pathways for MIE programs, supporting timely graduation and academic progression.