Numerical Methods of Applied Mathematics II OpenCourseWare: A Free Grad-Level Applied Mathematics Course by MIT
This OpenCourseWare, provided by the Massachusetts Institute of Technology, is entitled 'Numerical Methods of Applied Mathematics - II.' This graduate-level course focuses on the mathematical techniques associated with using differential equations to analyze of physical, biological and economic events. This course is intended for graduate-level students earning a master's degree in Mathematics, Physics, Economics, Engineering or a related field. Prior coursework in differential equations and other advanced mathematical topics is encouraged for all students considering this course.
Numerical Methods of Applied Mathematics - II: Course Specifics
Degree Level | Free | Audio | Video | Downloads |
---|---|---|---|---|
Graduate | Yes | No | No | Yes |
Lectures/Notes | Study Materials | Tests/Quizzes |
---|---|---|
Yes | Yes | No |
Numerical Methods of Applied Mathematics - II: Course Description
This free course is taught by Dr. Plamen Koev from the MIT Department of Mathematics. The prerequisites for 'Numerical Methods of Applied Mathematics - II' include a basic understanding numerical analysis and methods. 'Numerical Mathematics of Applied Science - II' concentrates on the use of partial differential equations as students are introduced to a wide range of advance mathematical topics. The course lectures help students to investigate a variety of advance mathematical topics, including wave equations, systems of differential equations, numerical methods for ODEs and numerical methods for elliptic equations. Students will also analyze the convection-diffusion equation, SOR(w) and the solution of ut + Aux = Bu.
The materials for the OpenCourseWare includes lecture notes and a complete list of assignments that are available in downloadable PDF files. There are also additional tools provided in MATLAB files for students who have access to the required software. If you would like to take this course, visit the numerical methods of applied mathematics course page.
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