MathDance: Hands-on workshop to learn Math, Coding, and AI

Artificial Intelligence (AI) is impacting our everyday lives and is transforming the world. This hands-on MathDance workshop is an opportunity for future leaders to learn mathematics, computer science, and AI in a holistic and integrated manner. Participants will develop a fun game using a Machine Learning (Deep Learning) tool and the Scratch programming language.

Participants will start by learning Scratch coding and basic mathematical equation graphs. Once the concept of AI/ML (Machine Learning) is introduced, participants will practice image recognition projects using Google's Teachable Machine. Subsequently, participants will learn how to connect Scratch code to an AI model trained on the cloud and build a small, simple image recognition app.

Speaker
Dr Chan-Jin “CJ” Chung, Professor of Computer Science, Director of CS & AI Robotics (CAR) lab at Lawrence Technological University

Please find below more information regarding the Workshop:

Computer requirements: a PC (Windows or Mac) is preferred. A webcam. Internet connection. An Internet browser. Tablet computers are also fine. Cell phones are NOT recommended.

Technical questions will be answered via the Neural Network

Eligibility: at least a week of Scratch coding experience (Or a month of any computer programming experience)

Target Audience: students of grade 6 - 12 (Middle & High School) as of fall 2023, teachers and parents, and any adults

The AI for Good Global Summit is the leading action-oriented United Nations platform promoting AI to advance health, climate, gender, inclusive prosperity, sustainable infrastructure, and other global development priorities. AI for Good is organized by the International Telecommunication Union (ITU) – the UN specialized agency for information and communication technology – in partnership with 40 UN sister agencies and co-convened with the government of Switzerland.

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The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.