An introduction of artificial intelligence applied to improve design and test processes. The various components to build an artificial intelligence system to assist engineering in design and test are discussed. Theoretical foundation related to those components are also 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.
4
UnitsLetter
Grading1, 2, 3
PasstimeGraduate students only
Level LimitEngineering
CollegeGreat 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.
Best professor at UCSB. Also took him for 156A. Lectures are interesting, enjoyable persona. Actually speak up and talk to him and ask questions. He looks at the problems in industry, not necessarily how to solve them. Expect to leave his class learn about validation techniquesCAD with VLSI of course. There is no problem.
Wang isn't interested in the petty details of engineering, but instead focuses on the philosophy of being an engineer. Not your typical ECE class of formulas and number crunching. Doesn't teach very much about what you're doing on homeworks, but homeworks are still manageable. Easy grades; he's not keen on giving any grade besides an A or B.