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Part 3 · Course

AI450 MACHINE LEARNING ENGINEERING

Electrical Engineering and Computer Science · 2 versions

Offerings are listed from 2027-1 Fall through 2031-1 Fall.

AI450 MACHINE LEARNING ENGINEERING

  • 3.0 credit hours
  • (BS=0.0, ET=3.0, MA=0.0)
  • Version 2028-1
  • In effect
Scope
Cadets explore the potential of data-driven machine learning algorithms to solve complex engineering problems. Cadets build models that rival and even surpass human-level performance on a range of tasks. Cadets analyze problems, design and compare models suited to the objective, and implement their approach in software. The course culminates in an open-ended project of the cadets' choosing. In this project, cadets build a model that achieves superior results on a task that would otherwise require human cognition to perform.
Lessons
30 @ 75 min (2.000 Att/wk)
Labs
0 @ 0 min
Special requirements
A course project is required. Compensatory time is given.
Prerequisites
one of

AI450 ENGINEERING AI

  • 3.0 credit hours
  • (BS=0.0, ET=3.0, MA=0.0)
  • Version 2026-2
  • Archived
Scope
Cadets explore the potential of data-driven artificial intelligence (AI) algorithms to solve complex engineering problems. Cadets build models that rival and even surpass human-level performance on a range of tasks. Cadets analyze problems, design and compare models suited to the objective, and implement their approach in software. The course culminates in an open-ended project of the cadets' choosing. In this project, cadets build a model that achieves superior results on a task that would otherwise require human cognition to perform.
Lessons
30 @ 75 min (2.000 Att/wk)
Labs
0 @ 0 min
Special requirements
A course project is required. Compensatory time is given.
Prerequisites
one of
AI450 version 2026-2 offerings
Term Sections Section size Capacity Enrolled Wait list Seats Closed Details
2027-1 Fall 1 18 18 0 0 18 Yes Hours for 2027-1 Fall