Call Number | 14647 |
---|---|
Day & Time Location |
TR 10:10am-11:25am To be announced |
Points | 3 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Kui Ren |
Type | LECTURE |
Method of Instruction | In-Person |
Course Description | 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 ODEs. All programming exercises will be in Python. |
Web Site | Vergil |
Department | Applied Physics and Applied Mathematics |
Enrollment | 47 students (120 max) as of 9:14PM Wednesday, November 20, 2024 |
Subject | Applied Mathematics |
Number | E4300 |
Section | 001 |
Division | School of Engineering and Applied Science: Graduate |
Open To | Barnard College, Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies |
Section key | 20251APMA4300E001 |