Comput Math:intro-Numercl Meth
10:10am–11:25am
SEELEY W. MUDD BUILDING MUD 833
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
Lect: 3. Corequisites: MECE E6104 Programming experience in Python extremely useful. Introduction to fundamental algorithms and analysis of numerical methods commonly used by scientists, mathematicians and engineers. Designed to give a fundamental understanding of the building blocks of scientific computing that will be used in more advanced courses in scientific computing and numerical methods for PDEs (e.g. APMA E4301, E4302). Topics include numerical solutions of algebraic systems, linear least-squares, eigenvalue problems, solution of non-linear systems, optimization, interpolation, numerical integration and differentiation, initial value problems and boundary value problems for systems of ODEs. All programming exercises will be in Python.
Reviews
Course experience
n=2, 2023
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Teaching quality
4.5 / 5
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Overall sentiment
Positive
Would take again
Majority say yes
Sources: CULPA (2)
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Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
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- Credits
- 3 credits
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