Introduction to Scientific Computing

Course Description

Introduction to Scientific Computing Numerical computation for mathematical, computational, physical sciences and engineering: error analysis, floating-point arithmetic, nonlinear equations, numerical solution of systems of algebraic equations, banded matrices, least squares, unconstrained optimization, polynomial interpolation, numerical differentiation and integration, numerical solution of ordinary differential equations, truncation error, numerical stability for time dependent problems and stiffness. Implementation of numerical methods in MATLAB programming assignments. 

Course Details

  • Intensive Study: Computer Science
  • Online Format: Both Synchronous & Asynchronous - This course is taught through a combination of synchronous and asynchronous opportunities. Students should check the Stanford Explore Courses website for information on the scheduling options.

Prerequisites

MATH 51, MATH 52, MATH 53; prior programming experience (MATLAB or other language at level of CS 106A or higher).

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