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EN.553.604

Foundational Methods in Applied Mathematics

Johns Hopkins University 4 credits Applied Mathematics & Statistics

Course Description

Key mathematical techniques and formalism in multivariable calculus, linear algebra, and real analysis essential to advanced AMS courses. Basics of convergence and limits; differentiability of vector-valued functions; multiple integrals and applications; implicit and inverse function theorems; interchanges of limits; change of variables. Linear algebraic methods, including matrix operations, factorizations, and spectral and Jordan decompositions; determinants; special matrices. Constrained optimization. Emphasis is on proof, interpretation of results, and mathematical applications. Note: multivariable calculus and linear algebra are prerequisites for this course. Prerequisite(s): Students who have taken or are enrolled in EN.553.404 are not eligible to enroll in EN.553.604

Code
EN.553.604
Credits
4
Subject
Applied Mathematics & Statistics

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