Roadmap
Include copy of NE’s diagram for how AIIAD relates to the broader scientific process with special emphasis on the part(s) that are related to this module.
These LOs are Under Construction!
After working through this lesson, you will be able to:
- Explain the ways in which AI can intersect with core data science principles
- Practice using AI to review quality and troubleshoot errors from user-generated code
- Explain how to code with an AI assistant using a “plan, generate, evaluate, revise” loop
- Create a multi-step data analysis workflow using agentic tools
Topic Title 1
Sub-Section 1
Example in-text citation (Zewe 2025); hovering over the in-text citation shows the full citation, clicking it sends you to the references section at the end of the page.
Callout Block Examples
Use this callout for reminders about bias, ethics, and/or opportunities to do X in a more environmentally-sustainable way.
If the point made in this callout is also made in module 5, link it!
Use this callout for instructions on an interactive activity.
Instructions for first phase of activity
Instructions for second phase of activity
Instructions for Nth phase of activity.
Use this callout for discussion prompts and/or self-reflection questions.
Use this callout to link to additional/external resources relevant to a given topic. This is preferable to Quarto’s footnote feature as this method (A) highlights the text within it and (B) emphasizes that these resources are external (where a footnote could be used to relay more of our own opinions/context).