Math 222 -- Introduction to Scientific Computing 

Math 222 presents a survey of major algorithms in modern scientific computing. The focus is a combination of basic understanding of the mathematics behind the algorithms, and an emphasis on applications to real problems. The class frequently meets in a computer lab, so that students may work together on assignments applying the basic algorithms to applications in the natural and social sciences.

This course is not a requirement for the math major or minor, but it can be counted as a 200-level elective toward either the major or the minor. Some background with computers is helpful for the course, but extensive programming experience is not necessary, since a more user-friendly package like Mathematica is sufficient for the problems considered in the course. Math 222 is typically offered in alternate years.

Prerequisites: Math 121 or Math 117 or Math 215

Who should take this course?
Math majors or minors
Computer science majors or concentrators
Students in the natural or social sciences interested in mathematical modeling (esp. physics, chemistry, biology, economics)

Topics covered:
Root-finding
Optimization
Interpolation
Monte Carlo and simulation
Numerical solution of differential equation (ODEs and PDEs)

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For detailed information about Math 222 this year, please consult the list of Fall Courses and Spring Courses linked to the Mathematics and Statistics Home Page.