CSC413H1 - Neural Networks and Deep Learning
Course: CSC413H1 (Neural Networks and Deep Learning) in CSC department at University of Toronto.
Credit Hours: 24 • Academic Level: fourth-year undergraduate course
Course Requirements: Requires 12 prerequisite courses
Prerequisite Chain Depth: 7 levels of foundational courses required
Interdisciplinary Requirements: Prerequisites span 6 different departments
Course Type: Capstone or specialized course - synthesizes prior learning
Part of the CSC curriculum at University of Toronto, helping students progress through degree requirements.
Prerequisites for CSC413H1
- One of: CSC311H1, CSC311H5, STA314H1
- One of: MAT235Y1, MAT237Y1, MAT257Y1, MAT257Y5
- One of: MAT233H5, MAT236H5
- One of: MAT223H1, MAT240H1
- One of: MAT223H5
- One of: ROB313H1, ECE421H1
- One of: MAT291H1, MAT294H1
- One of: AER210H1
- One of: MAT185H1, MAT188H1
- One of: MAT185H1
- One of: MAT188H1
- One of: MAT232H5, MAT236H5
Academic Planning at University of Toronto
Students planning CSC413H1 at University of Toronto should complete 12 prerequisites before enrollment.
Course Sequence: This course requires a 7-level prerequisite chain, requiring careful multi-semester planning for optimal progression.
This fourth-year course at University of Toronto integrates into structured degree pathways for CSC programs, supporting timely graduation and academic progression.