ECE302H1 - Probability and Applications
Course: ECE302H1 (Probability and Applications) in ECE department at University of Toronto.
Credit Hours: 38.4 • Academic Level: third-year undergraduate course
Course Requirements: Requires 3 prerequisite courses
Prerequisite Chain Depth: 1 level of foundational courses required
Future Opportunities: Unlocks 18 advanced courses for further study
Interdisciplinary Requirements: Prerequisites span 2 different departments
Course Type: Core pathway course - critical for degree progression
Part of the ECE curriculum at University of Toronto, helping students progress through degree requirements.
Courses unlocked by ECE302H1
- ECE368H1 - Probabilistic Reasoning
- ECE417H1 - Digital Communication
- ECE464H1 - Wireless Communication
- ECE421H1 - Introduction to Machine Learning
- MIE223H1 - Data Science
- MIE524H1 - Data Mining
- ROB311H1 - Artificial Intelligence
- ECE435H1 - Quantum Computing Hardware
- CSC263H1 - Data Structures and Analysis
- MIE369H1 - Introduction to Artificial Intelligence
- CSC384H1 - Introduction to Artificial Intelligence
- CSC401H1 - Natural Language Computing
- CSC428H1 - Human-Computer Interaction
- CSC485H1 - Computational Linguistics
- ECE484H1 - Quantum Information Processing: Algorithms & Software
- MIE370H1 - Introduction to Machine Learning
- ECE537H1 - Random Processes
- ECE361H1 - Computer Networks I
Academic Planning at University of Toronto
Students planning ECE302H1 at University of Toronto should complete 3 prerequisites before enrollment.
Future Pathways: Completing ECE302H1 enables enrollment in 18 advanced courses for further study
This third-year course at University of Toronto integrates into structured degree pathways for ECE programs, supporting timely graduation and academic progression.