CME263H1 - Probability Theory for Civil and Mineral Engineers
Course: CME263H1 (Probability Theory for Civil and Mineral Engineers) in CME 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 7 advanced courses for further study
Course Type: Foundation course - forms the base for multiple advanced topics
Part of the CME curriculum at University of Toronto, helping students progress through degree requirements.
Courses unlocked by CME263H1
- CSC263H1 - Data Structures and Analysis
- CSC384H1 - Introduction to Artificial Intelligence
- CSC311H1 - Introduction to Machine Learning
- CSC401H1 - Natural Language Computing
- CSC428H1 - Human-Computer Interaction
- CSC485H1 - Computational Linguistics
- CME538H1 - Introduction to Data Science for Civil and Mineral Engineers
Academic Planning at University of Toronto
Students planning CME263H1 at University of Toronto should complete 0 prerequisites before enrollment.
Future Pathways: Completing CME263H1 enables enrollment in 7 advanced courses for further study
This second-year course at University of Toronto integrates into structured degree pathways for CME programs, supporting timely graduation and academic progression.