Scientific Computing, MSE
University of Pennsylvania · PA · SCIENTIFIC-COMPUTING-MSE
Scientific Computing, MSE at University of Pennsylvania lists 104 subjects. Subjects include Advanced Linear Algebra, Ordinary Differential Equations and Mathematical Modeling in Physiology and Cell Biology. The topics that come up most are machine learning, computational mathematics and computational biology (17, 16 and 15 subjects).
Compiled from public course information: approximate, not official.
University of Pennsylvania
What you'll study in Scientific Computing, MSE
Example subjects: Advanced Linear Algebra, Ordinary Differential Equations, Mathematical Modeling in Physiology and Cell Biology, The Mathematics of Medical Imaging and Measurement, Numerical and Applied Analysis I, Introduction to High-Performance Scientific Computing, Brain-Computer Interfaces, Theoretical and Computational Neuroscience, Biomedical Image Analysis, Biomicrofluidics, Molecular Diagnostics for Precision Medicine, Multiscale Modeling of Chemical and Biological Systems.
Frequently asked questions
What will I study in Scientific Computing, MSE?
Scientific Computing, MSE covers areas like machine-learning, computational-mathematics, computational-biology, statistical-learning, materials-science, deep-learning, engineering-mathematics, mathematical-economics.
Who offers Scientific Computing, MSE?
Scientific Computing, MSE is offered by University of Pennsylvania, PA.
Considering Scientific Computing, MSE?
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Sources: University of Pennsylvania official course page. Information is compiled and summarised, not copied verbatim, and is approximate; always confirm with the original source.
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