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MAE451 - Applied Machine Learning for Mechanical and Aerospace Engineers

Available Universities

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Course: MAE451 (Applied Machine Learning for Mechanical and Aerospace Engineers) in MAE department at Arizona State University.

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

Course Requirements: Requires 3 prerequisite courses

Prerequisite Chain Depth: 13 levels of foundational courses required

Future Opportunities: Unlocks 3 advanced courses for further study

Interdisciplinary Requirements: Prerequisites span 2 different departments

Course Type: Core pathway course - critical for degree progression

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

Prerequisites for MAE451

MAE301
MAE384
One of: MAE451, MAE551, MAE598, MSE551, MSE598

Courses unlocked by MAE451

MAE451 - Applied Machine Learning for Mechanical and Aerospace Engineers
MAE551 - Applied Machine Learning for Mechanical Engineers
MSE551 - Applied Machine Learning for Mechanical Engineers

Academic Planning at Arizona State University

Students planning MAE451 at Arizona State University should complete 3 prerequisites before enrollment.

Course Sequence: This course requires a 13-level prerequisite chain, requiring careful multi-semester planning for optimal progression.

Future Pathways: Completing MAE451 enables enrollment in 3 advanced courses, opening specialization opportunities in the MAE program.

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