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APMA E4300 Computational Math: Introduction to Numerical Methods. 3 points.

Lect: 3.

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.

Fall 2017: APMA E4300
Course Number Section/Call Number Times/Location Instructor Points Enrollment
APMA 4300 001/70726 T Th 1:10pm - 2:25pm
428 Pupin Laboratories
Kyle Mandli 3 135/147