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CSE446 - Machine Learning

Available Universities

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Course: CSE446 (Machine Learning) in CSE department at University of Washington.

Credit Hours: 4 • Academic Level: fourth-year undergraduate course

Course Requirements: Requires 6 prerequisite courses

Prerequisite Chain Depth: 4 levels of foundational courses required

Future Opportunities: Unlocks 2 advanced courses for further study

Interdisciplinary Requirements: Prerequisites span 3 different departments

Course Type: Capstone or specialized course - synthesizes prior learning

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

Prerequisites for CSE446

CSE332
MATH208
MATH136
STAT390
STAT391
CSE312

Courses unlocked by CSE446

CSE582 - Ethics in Artificial Intelligence
CSE447 - Natural Language Processing

Academic Planning at University of Washington

Students planning CSE446 at University of Washington should complete 6 prerequisites before enrollment.

Course Sequence: This course requires a 4-level prerequisite chain, requiring careful multi-semester planning for optimal progression.

Future Pathways: Completing CSE446 enables enrollment in 2 advanced courses for further study

This fourth-year course at University of Washington integrates into structured degree pathways for CSE programs, supporting timely graduation and academic progression.