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Nov 04, 2024
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MATH 255 - Scientific Computing and Data Visualization
Prerequisites: Successful completion (C- or higher) of MATH 213
This course prepares students to use specialized computing software for mathematical and scientific problems solving, exploration, and visualization. Students will learn how to take advantage of the capabilities of scientific computing software in a variety of mathematical and modeling situations. This includes understanding the fundamental data structures such as vectors, matrices, multi-dimensional arrays, and dataframes; implementing basic and advanced data visualization techniques; performing numerical computations for solving systems of equations, optimization problems, interpolation problems, integral equations, and differential equations. In addition, students will learn how to use latest cutting-edge technologies to access real-world datasets from different resources and perform large-scale data visualization and simulations.
3 credits
Spring
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