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The CSIAC Podcast - Introduction to the Rust Programming Language – Rust Models Part 1

| Presenter: Dr. Jim Fawcett | Leave a Comment

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Rust is a fairly new programming language with the goal of being a safe systems programming language. “Safe” means code generated by Rust is free of memory access and data race vulnerabilities. System programming language means that Rust programs are fast and able to use platform resources.

This 5-part video series entitled Rust Models by Dr. James Fawcett, describes different conceptual models that underlie the Rust programming language. Discussion with exemplars is used to illustrate how the models describe aspects of the language for effective use. In this series, five core fundamental models are presented:

  • Type Safety
  • Ownership
  • Object Model
  • Generics
  • Code Structure

This video provides an introduction and a brief overview of the Rust Programming Language. It covers the prerequisites required for getting started. This includes: the setup of a development environment using Visual Studio Code, and the Rust package manager and build tool known as “Cargo.”

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Presenter

Dr. Jim Fawcett
Dr. Jim Fawcett
Dr. James Fawcett is Teaching Professor Emeritus of Computer Engineering at Syracuse University. He has extensive experience in industry and in academia. From 1991 to May 2019, Dr. Fawcett taught a sequence of graduate software design courses, focused on methods and strategies for design, development, and management of large and complex distributed software systems. Prior to that, he worked in various roles for General Electric (GE) company, including Advanced Engineering Training assignments, Systems Engineer at the Electronics Laboratory, and Developer and Manager in the Radar Systems Department. He also taught, as an adjunct, a variety of graduate Electrical Engineering courses at Syracuse University. Currently, Dr. Fawcett is developing a GitHub code repository - a collection of reusable software components with corresponding documentation and blogs. The site also serves as a platform for experimenting with methods for documenting and deploying code.

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