About

What We Do

Carnegie Mellon University School of Computer Science is offering a week-long workshop, Crash Course in Artificial Intelligence along with a Learning Material Design Session to support high school educators looking to gain familiarity with AI and to offer AI-related educational activities to their students.

Our week-long workshop will cover an introduction to a broad range of artificial intelligence topics including:

  • Machine Learning
  • Deep Learning
  • Search Algorithms
  • Information Retrieval
  • Recommender Systems

    • Each topic will include a hands-on activity to help you connect the topic to a real-world application. On the last two days, we will form teams of CMU faculty and teachers to work together to create AI-related activities for your classrooms. We will work directly with you to design and build short demonstrations you can use in your classrooms. Examples include machine learning, search and navigation, and face recognition. We will also have faculty available to help design lecture slide content and talking points for you to use in your classrooms.

Teachers will gain:

  • hands-on skills to implement and apply AI algorithms,
  • access to all of the written materials and activities presented in the course,
  • additional activities and content that they helped design to be tailored to their classrooms and their students’ interests,
  • a professional network of Pittsburgh area STEM teachers and Carnegie Mellon faculty who can act as resources and collaborators for future projects.

We will be available to you throughout the school year. CMU faculty will follow up several times during the school year to determine if the materials were sufficient and if you need additional support.

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Registration is open for our June 2024 Workshop!
Contact us to Register

We were featured in the Pittsburgh press.

2022 Stories:

Business Times

Technical.ly

Carnegie Mellon Press Release

Prof. Rosenthal speaking with teachers at the workshop in 2022.

Photo credit: Aaron Aupperlee

About Us

Stephanie Rosenthal

Stephanie Rosenthal is an Assistant Teaching Professor in the Computer Science Department at Carnegie Mellon University, where she teaches artificial intelligence courses. Before starting at CMU, she helped design, develop, and teach a new data science major at Chatham University. Her research interests focus on human interaction with AI systems. For the last 16 years, Prof. Rosenthal has also been involved in outreach programs for elementary and middle school students in the Pittsburgh area, and is excited to help design AI activities for high schools.

Patrick Virtue

Pat Virtue is an Assistant Teaching Professor in the Computer Science and Machine Learning Departments at Carnegie Mellon University. He focuses on teaching techniques for artificial intelligence, machine learning, and computer science. His interests include active learning teaching methods, effective instruction for large classes, building inclusive learning environments, and AI/ML curriculum development. Patrick completed his graduate work at UC Berkeley in Electrical Engineering and Computer Sciences (PhD, 2019), and his undergraduate at the University of Notre Dame (BS, 2002). Prior to graduate school, he researched and developed medical image applications as a software engineer at GE Healthcare.

Learning Material Design Session

Teachers spend two days working in teams with CMU professors to design new AI materials for their own classrooms. In 2022, the teams focused on:

  • One week of AI content for computer science students
  • One week of AI content for STEM students
  • New AI courses for high school students
  • Face recognition/computer vision activity
  • AI and biology activity for biology classes

At the end of the week, the teachers present their materials to the group and make them available to everyone to use in their classrooms. What materials will you design this year?

Photo Credit: Stephanie Rosenthal

Transitioning Materials into the Classroom

Crash Course 2022 teachers have been busy incorporating their materials into their classrooms for the 2022-23 school year.

Computer Vision Activity
Students in 8th grade classes are using Google's Teachable Machine to study how well a computer can recognize basic shapes compared to humans.
Artificial Intelligence Course
Students in one Pittsburgh area high school can take a new course in Artificial Intelligence, which covers data analytics, machine learning, symbolic AI and search, and ethics.
A week of AI in AP CS courses
Students in AP CS courses are learning about computer vision and other AI applications as they are tied into the AP curriculum.






AI for All Students
Students in one local high school will experience AI at least twice per year in any of their courses. Example discussions include using AI to create art, historical perspectives on how AI can affect the future of finance, war, travel, communication, and AI for natural language generation and also for machine translation.
Machine Learning and Social Implications
Students will learn strategies for search, and consider ways that heuristics can impact the speed and also the societal impact of search in applications like GPS.

What ideas will you bring into your classroom?

Contact

For more information and to register...

Location:

Carnegie Mellon University

Pittsburgh, PA, USA