Introduction to Scientific Computing | Cornell University

Discover numerical methods for solving linear and nonlinear equations, interpolating data, computing integrals, and solving differential equations in this comprehensive scientific computing course.

Introduction

In this one-semester survey course, we introduce numerical methods for solving linear and nonlinear equations, interpolating data, computing integrals, and solving differential equations, and we describe how to use these tools wisely (we hope!) when solving scientific problems.

Highlights

• Scientists, engineers, mathematicians, and computer scientists use continuous models to describe everything from the ringing of bells to the evolution of animal populations to the relationships between web pages.
• We turn to computers to help us analyze all but the simplest such models, and this course addresses how an inherently discrete device such as a computer can solve continuous problems quickly and reliably.

Recommendation

This course is recommended for students interested in numerical methods and their applications in solving scientific problems. It provides a solid foundation in topics such as solving linear and nonlinear equations, interpolating data, computing integrals, and solving differential equations, which are essential skills for scientists, engineers, mathematicians, and computer scientists.