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Fall 2017 Applied Mathematics E4300 section 001

Call Number 70726
Day & Time
TR 1:10pm-2:25pm
428 Pupin Laboratories
Points 3
Approvals Required None
Instructor Kyle Mandli
Course Description Prerequisites: (MATH UN1201) and (MATH UN2030) and (APMA E3101) and (ENGI E1006) or their equivalents. 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 ODE's. All programming exercises will be in Python.
Web Site CourseWorks
Department Applied Physics and Applied Mathematics
Enrollment 147 students (147 max) as of 12:20AM Tuesday, September 19, 2017
Status Full
Subject Applied Mathematics
Number E4300
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Columbia College, Engineering and Applied Science: Undergraduate, General Studies, Barnard, Graduate School of Arts and Science, Engineering and Applied Science: Graduate
Campus Morningside
Section key 20173APMA4300E001

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SIS update 09/19/17 00:20    web update 09/19/17 15:04