MATH 42

Introduction to Data-Driven Mathematical Modeling: Life, Universe, and Everything

Description: Lecture, three hours; discussion, one hour. Requisites: courses 31A, 31B, 32A, 32B, 33A, one statistics course from Statistics 10, 12, 13, one programming course from Computer Science 31, Program in Computing 10A, Statistics 20. Introduction to data-driven mathematical modeling combing data analysis with mechanistic modeling of phenomena from various applications. Topics include model formulation, data visualization, nondimensionalization and order-of-magnitude physics, introduction to discrete and continuous dynamical systems, and introduction to discrete and continuous stochastic models. Examples drawn from many fields and practice problems from Mathematical Contest in Modeling. P/NP or letter grading.

Units: 4.0
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Most Helpful Review
Spring 2023 - Overall I would say that Mr Enakoutsa is a very passionate and sweet professor who wants his students to participate, learn, and be passionate. I think he teaches pretty well — he is not the clearest math professor at UCLA but he makes up for it by being interactive with students during lecture. There were multiple times when he would ask the class a question and no one would know how to answer. From this, he would realise that no one understood him the first time and so he repeated the concept so that we would actually understand. But, I would say that there are a few flaws with the way the quarter panned out, especially in the homework workload. The homework load was reasonable, but the Professor's requirement that everything had to be coded in Latex was not. By week 6-7, we were doing complex integral work that took easily an additional 2-3 hours each week just to code into Latex, which I didn't think the Professor had considered when assigning the homework, and definitely added unneeded stress. Secondly, in week 6-7, the professor had not completed teaching what was required on the homework before it was due. He did extend the deadline, but obviously this is not a preferable situation. Lastly, his midterm weighed 40% which I flunked while studying for 131A the same week LOL. To compensate for this, he made all homeworks after week 7 optional and offered an extra credit option. My point here is that taking Math 42 with Prof. Enakoutsa is probably going to be a little less structured than the regular math class, but overall he is reasonable and sensitive to students' needs, and will accommodate you if you communicate with him. He might make a mistake (we're human and Math 42 is a difficult class to structure), but he is sure to make up for it. But I wouldn't recommend taking this class with other difficult math classes (Math 131A and above) because the unpredictability might cause extra stress given an already large workload. But if Math 42 is the class you are focusing most of your attention on, you'll probably have a great time (the course content is pretty interesting after week 4).
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