Resources
Explore resources to learn about GenAI and its impact on CS Education or to find materials to help you get started integrating GenAI into your classes.
Resources can be found below. Feel free to use filters to filter by tag, type, or by course.
Why Integrate GenAI into CS Education?
With the ubiquity of GenAI tools, students need to learn how to use GenAI in their jobs and to help them learn.
A summary of some of the key reasons why CS educators might want to integrate GenAI into their instruction.
Introduction to Programming in Python with GitHub Copilot
UCSD's CS1-LLM Course
An introduction to programming that prepares students to author software in cooperation with an AI Assistant.
Introduction to Computer Science with GenAI
This course introduces foundational computer science concepts and Python programming skills, while effectively leveraging generative AI as a programming tool.
Object-Oriented Programming and Data Structures with GenAI
This course offers intermediary Python programming skills by exploring object-oriented principles, implementing various data structures, and analyzing program efficiency, while strategically integrating generative AI.
Algorithms and System Design with GenAI
This course focuses on developing the skills to design and implement robust software solutions by covering problem decomposition, algorithm analysis, advanced data structures like trees and graphs, and the strategic application of generative AI.
Introduction to Software Engineering with GenAI
This course offers hands-on experience with the end-to-end process of building and deploying full-stack web applications, while integrating professional software engineering practices, cloud tools, and generative AI into every stage.
Introduction to Product Management with GenAI
This course offers a comprehensive introduction to product management, blending traditional principles with cutting-edge GenAI techniques.
Microsoft reporting that 30% of its code is AI generated
Microsoft CEO Satya Nadella on Tuesday said that as much as 30% of the company’s code is now written by artificial intelligence.
A quarter of startups in YC’s current cohort have codebases that are almost entirely AI-generated
With the release of new AI models that are better at coding, developers at startups are increasingly using AI to generate code.
Learning to program can be difficult
In this classic paper, Cognitive strategies and looping constructs: an empirical study, we find that introductory programming students struggle with basic programming tasks at the end of the course.
(Video) Why Integrate GenAI into Introductory Programming
Reasons why CS1 instructors might want to integrate GenAI into their course.
Video description
Navigate the course: Introduction to Computer Science with GenAI
Overview of course assets and guide to GenAI use
Introduction to Computer Science with GenAI - Navigate the course: A guide to assets and GenAI use.
Navigate the course: Object-Oriented Programming and Data Structures with GenAI
Overview of course assets and guide to GenAI use
Object-Oriented Programming and Data Structures with GenAI - Navigate the course: A guide to assets and GenAI use
Navigate the course: Algorithms and System Design with GenAI
Overview of course assets and guide to GenAI use
Introduction to Algorithms & System Design with GenAI - Navigate the course: A guide to assets and GenAI use.
Navigate the course: Introduction to Software Engineering with GenAI
Overview of course assets and guide to GenAI use
Introduction to Software Engineering with GenAI - Navigate the course: A guide to assets and GenAI use.
Navigate the course: Introduction to Product Management with GenAI
Overview of course assets and guide to GenAI use
Introduction to Product Management with GenA - Navigate the course: A guide to assets and GenAI use.
CodePath
CodePath for Instructor Resources
Additional Course Resources for instructors are available on CodePath.