Advanced Scientific Computing: Numerical Methods
APMTH 205
Subject & Catalog Number
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Course Information
Description
Mathematical theory and implementation aspects of well-established numerical algorithms applied in various scientific and engineering disciplines. The course will cover data fitting, numerical linear algebra, numerical differentiation and integration, optimization, and numerical methods for differential equations. There will be a significant programming component. Students will be expected to implement a range of numerical methods as part of individual and group-based projects. The material is sufficiently diverse to match each student's background and programming skills.
School
Faculty of Arts & Sciences
Credits
4
Cross Reg
Available for Harvard Cross Registration
Department
Applied Mathematics
Course Component
Lecture
General Education
N/A
Quantitative Reasoning with Data
Yes
Divisional Distribution
Science & Engineering & Applied Science
Course Level
Primarily for Graduate Students
