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Course: CSE475 (Foundations of Machine Learning) in CSE department at Arizona State University.

Credit Hours: 3 • Academic Level: year 0 undergraduate course

Course Requirements: Requires 3 prerequisite courses

Prerequisite Chain Depth: 17 levels of foundational courses required

Future Opportunities: Unlocks 1 advanced course for further study

Interdisciplinary Requirements: Prerequisites span 6 different departments

Course Type: Capstone or specialized course - synthesizes prior learning

Part of the CSE curriculum at Arizona State University, helping students progress through degree requirements.

Prerequisites for CSE475

Courses unlocked by CSE475

Academic Planning at Arizona State University

Students planning CSE475 at Arizona State University should complete 3 prerequisites before enrollment.

Course Sequence: This course requires a 17-level prerequisite chain, requiring careful multi-semester planning for optimal progression.

Future Pathways: Completing CSE475 enables enrollment in 1 advanced course, opening specialization opportunities in the CSE program.

This year 0 course at Arizona State University integrates into structured degree pathways for CSE programs, supporting timely graduation and academic progression.