Great professor, easy class as a PhD course. Deanna is extremely patient, helpful, and funny. Her lectures are clear, but the content is a bit easy, so that she sometimes ended class 20-30mins early. Quizzes are not hard, but you have to spend some time preparing for it. No curve course, strict grading scheme.

The class was probably the easiest grad level math class I've taken at UCLA. The professor was very clear and accommodating: for example the syllabus issued at the beginning of the year discussed what we'll cover each lecture and what parts of the book we should read to prepare. There were also really helpful ungraded homework sets, questions from which appeared on quizzes and exams, and the answers to which the professor was happy to discuss. While the professor does not post notes, she is willing to send them by email when requested. The slightly irritating thing is that she does have weekly quizzes, which can be a bit stressful. I am generally a fast exam taker and still struggled to finish some of them on time (though arguably that's my bad for not using the most efficient solution or proof method). The quizzes did get easier as the quarter went on (in my opinion), with the last few having more computational and less proof based questions. However, it was stressful that we didn't really know how well other students did on them so it was hard to tell if we should be worried about our grade if we got anything below 100%. The exams were very fair, both in terms of the material and the time allotted. The lectures tended to be a bit boring, often coming directly from the textbook, but there were some topics introduced that the textbook did not cover, and some Matlab demonstrations and showcases of the professor's research.