Spring 2021 - Maybe I'm the stupid one in the class as everyone in the class gets like As on their tests. Not the best lecturer, but also not the worse. The test are extremely long and definitely not 3 hours for the finals. The class is not curved so keep that in mind (45% midterm, 25% hw, 35% finals). I just pnp the class cuz I know I will not learn anything from the class. Take it with another professor if you can.
Winter 2021 - Grade Composition: 45% Midterm + 25% HWK (Assigned weekly from Week 2 to Week 10; 9 in total) + 30% Final The Professor was very willing to help during his Office Hours. He did give clues to challenging homework problems. The distribution of easy, medium, and hard questions on the exams was around 50%, 30%, and 20%. The only thing I disliked about this class might be that my TA could hardly speak English. I simply skipped discussions and hardly took advantage of any resources from her. Fair Professor and pretty tough class for me, so definitely requiring some hard work.
Fall 2021 - GENERAL WARNING: Though not listed as a prerequisite, make sure to take Math 131A or equivalent before taking this course, as there are proofs that involve the limits of sequences and series as well as exchanging limits and unions/intersections, summation/integration, etc. I believe these rigorous aspects are a part of the course regardless of the instructor, so having knowledge of relevant topics is really necessary. Another general comment: Stochastic processes are, based on my limited knowledge of math, a very deep subject. Having taken honors math upper divs and some grad courses (in applied math, though), I could feel that some aspects were deliberately left out in the textbook and/or lectures as they involve more advanced knowledge in e.g. real analysis (more precisely, measure theory as I would guess). That being said, the course contents are still pretty well presented in both the textbook and Dr. Nguyen's lectures. Textbook: Written by Prof. Rick Durrett at Duke University and completely free (available on his personal website). A very well-structured book with more than enough examples, which is good for understanding, but at the same time, it is a good idea to take notes in class and/or make notes of the important results, as they tend to scatter all along the way in the textbook. Grading: 25% HW + 5% Discussion Attendance + 25% Midterm + 45% Final. Towards the end of the quarter, another grading scheme was added: 25% HW + 5% Discussion Attendance + 10% Midterm + 60% Final. The syllabus says that the class is not curved in either way, but I speculate that we got curved up a bit. Lecture: In person, but lectures were recorded, at first with Zoom installed in the classroom but the quality was very bad, so he switched to his phone after a week or two. The lectures are very clear and at a reasonable pace, though I find them a bit slow sometimes. He went through important proofs and examples step by step, which is very helpful. The only caveat is that one concept or two showed up in HWs that he did not cover in class, so once in a while you need to read the textbook on your own. Homework: Combination of textbook problems and self-written ones. I think they are well picked/written, as they either serve as good practice of using formulas covered in class, or ask you to prove important results (with reasonable difficulty) that appear later in the course or on the exams. Some problems took plenty of time to think about, but it is very rewarding once you figured out the key point. There were nine sets of five problems in the first eight, but the last homework due on the final day of instructions had nine problems, which was actually a bit too many. OH: Dr. Nguyen is very happy to answer questions and read your work on the HW and help you write better solutions/proofs during office hours. Exams: 1 midterm + 1 final. Both exams were in person and a bit pressing on time, with the final more so. The distributions of scores turned out to be okay. Having a good understanding of the lectures and homework problems is essential, especially considering that there is not much time to be at a loss or fix mistakes. Overall Dr. Nguyen is a very great instructor for this course. Due to its challenging nature, our lecture ended up having just short of 20 students, but Dr. Nguyen is very willing to help and I felt I learned a lot in his class.