Machine Learning in Design and Test Automation . ECE 272A
A introduction to design and test automation processes and how machine learning can be applied to improve certain steps in those processes. Basic machine learning concepts and practices to apply machine learning in those design and test automation steps are discussed. Graduate students are are expected to be able to explore an assignment and discover a problem and then find a way to improve the outcome, hence developing their research ability.
Prerequisites: ECE 152A or equivalent.
4
UnitsLetter
Grading1, 2, 3
PasstimeGraduate students only
Level LimitEngineering
College
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Great teacher and help students' life in the long run.
There's no spoon. It is only yourself! Only when you are truly yourself, that's when you can be the best!
Wang is a great professor. He knows the materials that he teaches very well, and he incorporates his industrial experience within his lecture. In addition to class materials, he also teaches you a lot of life lessons that really inspire you and help you in the long run.
Wang's lectures are really helpful in that he teaches you how to apply theory into real world production. Labs are really difficult since lectures don't teach you how to approach them, but grading is extremely lenient. As you turn in some kind of work and effort for the labs and show up for the exams, you can get at least a B in the class.
Zheng Zhang
3.8
Hua Lee
3.1