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Fall 2017 Applied Mathematics E4300 section 001 COMPUT MATH:INTRO-NUMERCL METH | |

Call Number | 70726 |

Day & Time Location |
TR 1:10pm-2:25pm 428 Pupin Laboratories |

Points | 3 |

Approvals Required | None |

Instructor | Kyle Mandli |

Type | LECTURE |

Course Description | Prerequisites: (MATH UN1201) and (MATH UN2030) and (APMA E3101) and (ENGI E1006) or their equivalents. 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 ODE's. All programming exercises will be in Python. |

Web Site | CourseWorks |

Department | Applied Physics and Applied Mathematics |

Enrollment | 147 students (147 max) as of 12:20AM Tuesday, September 19, 2017 |

Status | Full |

Subject | Applied Mathematics |

Number | E4300 |

Section | 001 |

Division | School of Engineering and Applied Science: Graduate |

Open To | Columbia College, Engineering and Applied Science: Undergraduate, General Studies, Barnard, Graduate School of Arts and Science, Engineering and Applied Science: Graduate |

Campus | Morningside |

Section key | 20173APMA4300E001 |

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