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Computing modules for the NSF-supported S-STEM program at UMass Dartmouth

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ACCOMPLISH-Computing-Modules

This repo contains computing modules for the NSF-supported S-STEM program ACCOMPLISH at UMass Dartmouth

As of 2022, the following UMass Dartmouth faculty contributed to the development of these modules

  • Dr. Zheng Chen
    • Numerical Integration. Building a graphical user interface (GUI) in MATLAB to approximate integrations with integrand and numerical methods as user inputs.
  • Dr. Scott Field
    • Python and Git Setup. Helping students setup their computers to use Python and Git, while providing some exposure to the command-line. It’s intended for students who have never used Python or Git, but could be helpful for students of all levels. The instructions are applicable for Linux, MacOS, and Windows operating systems.
  • Dr. Bob Fisher
    • Algorithmic Thinking. A gentle introduction to algorithmic thinking, with an application to projectile motion.
  • Dr. Adam Hausknecht
    • Tangent Approximation. Methods for approximating the tangent to the graph of a function.
  • Dr. Maricris Mayes
    • Atomic/Molecular Orbital Visualization. Plotting the wavefunction for the particle in a box and their corresponding probability densities.

We acknowledge the National Science Foundation whose grant DUE-2030552 initiated the program.

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