MATH 151AH
Numerical Analysis Part 1 (Honors)
Description: Lecture, three hours; discussion, one hour. Requisites: courses 32B, 33B, 115A, 131A, Programming in Computing 10A or equivalent. Not open for credit to students with credit for course 151A. Rigorous introduction to numerical algorithms including necessary skills to apply algorithms in statistics, imaging, data science, engineering, and related fields. Root finding, solving linear systems, interpolation, quadrature, and finding eigenvalues. MatLab programming. P/NP or letter grading.
Units: 4.0
Units: 4.0
Most Helpful Review
Winter 2022 - Professor McKenzie was a good lecturer and presented the course content and expectations very explicitly and clearly. Not too difficult of a class for someone familiar with computer programming and mathematics in general. Additionally, an applicable math course to most all math majors. I would recommend taking this course!
Winter 2022 - Professor McKenzie was a good lecturer and presented the course content and expectations very explicitly and clearly. Not too difficult of a class for someone familiar with computer programming and mathematics in general. Additionally, an applicable math course to most all math majors. I would recommend taking this course!
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Most Helpful Review
Winter 2024 - The class is pretty chill, homework is due bi-weekly, and on average 5-10 hours per homework for me. Exams are computationally heavy, which can be unexpected the first time but it's fine once you know what to expect (and midterm can be completely reweighted by the final, which is helpful, so it's highly recommended to take the midterm if you can). The professor is new and this is his first time teaching the course, so it was a little bit somewhat disorganized, but the professor knows what his doing and is very helpful and accessible through email. Overall I would recommend enrolling in this course, just make sure to do more exercise and be familiar with the computations, as these are not extensively covered in the homework exercises.
Winter 2024 - The class is pretty chill, homework is due bi-weekly, and on average 5-10 hours per homework for me. Exams are computationally heavy, which can be unexpected the first time but it's fine once you know what to expect (and midterm can be completely reweighted by the final, which is helpful, so it's highly recommended to take the midterm if you can). The professor is new and this is his first time teaching the course, so it was a little bit somewhat disorganized, but the professor knows what his doing and is very helpful and accessible through email. Overall I would recommend enrolling in this course, just make sure to do more exercise and be familiar with the computations, as these are not extensively covered in the homework exercises.