Tensors have been increasingly used in data-intensive fields such as artificial intelligence and quantum computing. This course covers the notations, optimization and statistical methods of tensor computation, and their applications in machine learning (mainly deep learning) and quantum computing.
4
UnitsLetter
Grading1, 2, 3
PasstimeGraduate students only
Level LimitEngineering
CollegeAs both a former student and TA for this class, the best advice I can give is to take advantage of his lecture material. If you don't like his lecture style, his slides are extremely thorough and helpful to have up when doing your hw alongside the textbook. Yes it's a lot of work, but once things click you can solve problems at a much faster pace.
Everything was open notes so was relatively easy. Do all the homework and make sure you have a good grasp on the material and you'll be fine. Quizzes and tests are time crunch but got good curve.
This professor sent an email at 11:37 pm the day before our midterm to tell us whether or not the test will be online. My advice to anyone who wants to take this class is to be prepared for these type of situations. He's a decent professor, but please be wary that he might procrastinate sending important information regarding midterms & finals.
Wasn't a very good lecturer; I just read the slides instead of going to class. Class material was a bit daunting at first but not too bad once you get the hang of it. 2 midterms and a final each with one bonus problem. The TAs grade pretty harshly so be careful. 3 quizzes in your TA section.