MTH304 - Probability
Course: MTH304 (Probability) in MTH department at Toronto Metropolitan University.
Credit Hours: 1 • Academic Level: third-year undergraduate course
Course Requirements: Requires 6 prerequisite courses
Prerequisite Chain Depth: 2 levels of foundational courses required
Future Opportunities: Unlocks 17 advanced courses for further study
Interdisciplinary Requirements: Prerequisites span 2 different departments
Course Type: Core pathway course - critical for degree progression
Part of the MTH curriculum at Toronto Metropolitan University, helping students progress through degree requirements.
Courses unlocked by MTH304
- CPS803 - Machine Learning
- CPS824 - Reinforcement Learning
- CPS843 - Introduction to Computer Vision
- CPS844 - Data Mining
- CPS870 - Applied Natural Language Processing
- CPS521 - Introduction to Data Science
- CPS707 - Software Verification and Validation
- CPS721 - Artificial Intelligence I
- MTH404 - Statistics
- MTH500 - Introduction to Stochastic Processes
- MTH642 - Data Analytics: Advanced Methods
- MTH655 - Machine Learning in Business
- MTH665 - Mathematical Game Theory
- MTH707 - Modelling and Searching Networks
- PCS335 - Thermodynamics and Statistical Physics
- PCS352 - Nuclear Physics/Radiation Protection
- PCS810 - Complex Networks and Applications
Academic Planning at Toronto Metropolitan University
Students planning MTH304 at Toronto Metropolitan University should complete 6 prerequisites before enrollment.
Future Pathways: Completing MTH304 enables enrollment in 17 advanced courses for further study
This third-year course at Toronto Metropolitan University integrates into structured degree pathways for MTH programs, supporting timely graduation and academic progression.