Empowering Data Vision: a Self-Paced Introduction to the Convergence of AI and Data Science
The below materials were adapted from the third annual Smith-Kettlewell Summer Research Institute held in summer of 2025 and may be outdated. While core concepts may still apply, some details, particularly in the Visual Studio Code and GitHub Copilot modules may no longer reflect current interfaces or available features. This content is provided as-is, without warranty of any kind.
What we present here is a strong foundation, not a comprehensive body of knowledge. We highly encourage you to explore outside resources and, most importantly, to learn by doing.
Module 1: Language-agnostic Data Science
Module 2: Language-agnostic Data Visualization
Module 3: Visual Studio Code
Module 4: AI assisted Programming
Contributors
- Aziz N. Zeidieh, University of Illinois Urbana-Champaign
- Venkatesh Potluri, PhD, University of Michigan
- Sile O’Modhrain, PhD, University of Michigan
- JooYoung Seo, PhD, University of Illinois Urbana-Champaign
- James Coughlan, PhD, The Smith-Kettlewell Eye Research Institute (Principal Investigator)
Funding
This content was made possible by funding from the Rehabilitation Engineering Research Center (RERC) on Blindness and Low Vision at the Smith-Kettlewell Eye Research Institute (grant number 90REGE0018), funded by the National Institute on Disability, Independent Living and Rehabilitation Research (NIDILRR).
License
Except where otherwise noted, all content here is made available under the licenses described below.
Modules and the lessons within are made available under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
code examples and the Visual Studio Code accessibility audio signals included with these materials are licensed separately under the MIT License.
MIT License
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