As a graduate student who is going to focus on large data computation, this course is a very good entry point into the related field. This course not only offers the basics of tensor computation but also gives a very good picture of the current related research. But my suggestion is to have some homework as practices of simple tensor calculations.

As 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.

Zheng for asynchronous class was top of things just as he would for a class that is synchronous. His learning plan is extremely clear and tells you exactly what to do. He understands people has hard times and gives off a leeway to them on due dates. Extremely easy A if you read the material provided and do his projects.