MATH 151A
Applied Numerical Methods
Description: Lecture, three hours; discussion, one hour. Requisites: courses 32B, 33B, 115A, Program in Computing 10A or Computer Science 31. Introduction to numerical methods with emphasis on algorithms, analysis of algorithms, and computer implementation issues. Solution of nonlinear equations. Numerical differentiation, integration, and interpolation. Direct methods for solving linear systems. Letter grading.
Units: 4.0
Units: 4.0
3 of 5
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Most Helpful Review
Summer 2021 - The content of numerical methods was kinda boring imo, but Dr. Li's lectures and notes were pretty clear. You may even get away with skipping class and just reading her notes. Her hw assignments and exams were straight forward. If you do well on hws, you will do well on the exams. MATLAB code is provided for you so you don't really need to know how to code. She doesn't seem to respond to emails so if you do have questions office hours is your best bet.
Summer 2021 - The content of numerical methods was kinda boring imo, but Dr. Li's lectures and notes were pretty clear. You may even get away with skipping class and just reading her notes. Her hw assignments and exams were straight forward. If you do well on hws, you will do well on the exams. MATLAB code is provided for you so you don't really need to know how to code. She doesn't seem to respond to emails so if you do have questions office hours is your best bet.
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Most Helpful Review
I repeated this course with Professor Liu after going through a really bad experience with a new professor last quarter. Professor Liu made the learning environment much more student-friendly compared to my previous professor. He tried not to intimidate his students with overly complex theorems and proof; instead he eased into the material, giving us room to breathe and hopefully understand the material. Regrettably, I didn't work as hard as I should have for this class, which affected my midterm grades badly (Having just one midterm for an upper division math course really sucks). Overall, Professor Liu is a nice guy, who seems to genuinely care for his students. I may be biased by saying this, but I think he is one of the best Math professors in UCLA. I have taken 6 Math classes taught by 6 different professors in UCLA, and I hated most of them. This is the first Math professor I haven't complained about since I entered UCLA.
I repeated this course with Professor Liu after going through a really bad experience with a new professor last quarter. Professor Liu made the learning environment much more student-friendly compared to my previous professor. He tried not to intimidate his students with overly complex theorems and proof; instead he eased into the material, giving us room to breathe and hopefully understand the material. Regrettably, I didn't work as hard as I should have for this class, which affected my midterm grades badly (Having just one midterm for an upper division math course really sucks). Overall, Professor Liu is a nice guy, who seems to genuinely care for his students. I may be biased by saying this, but I think he is one of the best Math professors in UCLA. I have taken 6 Math classes taught by 6 different professors in UCLA, and I hated most of them. This is the first Math professor I haven't complained about since I entered UCLA.
3 of 5
