Shotaro Makisumi

Dec 2018

Shotaro is a lovely professor. I have nothing but good things to say about this man. 1. His conduct. Yes, classes are lecture-style. But his lectures are very clear and structured, and correspond very highly to the problem sets and exams. Most of the content is from the textbook, but I managed to finish the semester with a good grade without even buying the textbook, just because it is substantially easier to learn from his lectures than from the textbook. He is also very friendly and does not have a disruptive accent. He makes it much more clear, and tells you exactly what he expects you to know. Which brings me to my next point: 2. Exams. GO TO LECTURES! Because he drops hints about the exam questions in class. Nothing not covered will be tested. Barely any "tricks" are required to solve his exams, which are very formulaic; the difficulty is in mastering the extensive content and being able to solve the problems quick. There were 2 midterms, both of which averaged at around 50-60%. If you have a bit of brainpower and can identify themes in the class, it makes exams that much easier. Shotaro will never expect you to pull random calculus/linalg/real analytic results out of your a**. He will make it known what exactly is expected, which makes things comparatively lower stress. 3. Take his class. You won't regret it. He is also very helpful and jovial in office hours.

May 2018

tldr really clear and good Professor. But honestly, If you don't have to take this class just take analysis. Dr. Makisumi is a great professor. He spends a lot of time making sure that the students understand the material. He is very clear and I rarely got lost during lecture. He follows the textbook pretty closely (the textbook is all you need, but it's light on examples). The class moves pretty slowly, reviewing a lot of calculus III and linear algebra. If you did well in those courses then this class will be relatively easy. This course just makes you think about optimization problems more carefully. The most annoying part of this class was by far solving all the systems of equations. It's also a decently useful course. KKT conditions pop up everywhere in Machine learning and advanced economics. However, all the conceptual/theoretical material I learned in this class was covered in greater depth and interest in Modern Analysis next semester. We do cover point-set topology, but not very in depth. The home works were generally computational or conceptual. Very little proofs in this class.