| SI450 |
MACHINE LEARNING ENGINEERING |
2028 |
1 |
Electrical Engineering and Computer Science |
3.0
(BS=0.0,
ET=3.0,
MA=0.0)
|
| 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. |
| 30 @ 75 min (2.000 Att/wk) |
0 @ 0 min |
|
|
A course project is required. Compensatory time is given.
|