Effective Scientific Computing in Julia

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The Julia programming language (https://julialang.org/) is a powerful tool that enables scientists and engineers to write code with the simplicity of Python while retaining the performance of languages like C++. Additionally, Julia comes with a built-in Anaconda-like environment manager that enables users to publish code and reports whose results can be easily verified and reproduced. This talk will provide an overview of the Julia ecosystem with a focus on tools and techniques that are especially valuable for graduate-level research, informed by my own time as an AFIT engineering student.


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  • timothy.wolfe@afit.edu

    tswolfe@ieee.org

  • Co-sponsored by Wright-Patt Multi-Intelligence Development Consortium (WPMDC), The DOD & DOE Communities

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Mike

Topic:

Effective Scientific Computing in Julia

The Julia programming language (https://julialang.org/) is a powerful tool that enables scientists and engineers to write code with the simplicity of Python while retaining the performance of languages like C++. Additionally, Julia comes with a built-in Anaconda-like environment manager that enables users to publish code and reports whose results can be easily verified and reproduced. This talk will provide an overview of the Julia ecosystem with a focus on tools and techniques that are especially valuable for graduate-level research, informed by my own time as an AFIT engineering student.

Biography:

Mike Ingold is a low observables (LO) engineer for the Air Force Lifecycle Management Center (AFLCMC) and a continuing student of computational electromagnetics (CEM). Mike earned a Bachelors in Electrical Engineering from Arizona State University (ASU) in 2020, a Masters in Electrical Engineering from the Air Force Institute of Technology (AFIT) in 2023.




Agenda

The Julia programming language (https://julialang.org/) is a powerful tool that enables scientists and engineers to write code with the simplicity of Python while retaining the performance of languages like C++. Additionally, Julia comes with a built-in Anaconda-like environment manager that enables users to publish code and reports whose results can be easily verified and reproduced. This talk will provide an overview of the Julia ecosystem with a focus on tools and techniques that are especially valuable for graduate-level research, informed by my own time as an AFIT engineering student.


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