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AI & Digital Arts · MS elective · 3 credit hours · 16 sessions

AI for Everyone

This course is designed to demystify Artificial Intelligence for students from non-technical backgrounds. It provides a broad, accessible overview of what AI is, how it works, and how it is reshaping the world around us. Students will learn the vocabulary of AI, explore its applications in daily life and business, and gain hands-on experience with user-friendly tools, empowering them to participate confidently in an AI-driven society.

§ 01 By the end you can
  1. Define key AI terminology (Machine Learning, Deep Learning, Neural Networks) without complex math
  2. Identify real-world applications of AI in healthcare, finance, entertainment, and transportation
  3. Navigate popular AI tools for productivity and personal assistance safely
  4. Debunk common myths and understand the limitations of current AI technology
  5. Discuss the societal implications of AI on privacy, employment, and bias
§ 02 Sixteen sessions

The whole semester.

  1. 01What is AI? Definitions & History
  2. 02Machine Learning Explained (Conceptually)
  3. 03Deep Learning & Neural Networks Simplified
  4. 04Data: The Fuel of AI
  5. 05Introduction to Generative AI (Text)
  6. 06Introduction to Generative AI (Image)
  7. 07AI in Daily Life: Algorithms & Recommendations
  8. 08 · MidtermMidterm Examination
  9. 09AI in the Workplace & Productivity
  10. 10AI in Healthcare & Medicine
  11. 11AI in Entertainment & Media
  12. 12Personal Assistants & Smart Homes
  13. 13The Ethics of AI: A Primer
  14. 14AI Safety & Security
  15. 15The Future of Work
  16. 16Final Project: Personal AI Roadmap

Midterm around session 8. Final project briefed at session 8 or 9 and developed in stages until the juries.

§ 03 Final project

Final Project: Personal AI Roadmap

How it’s judged

Recommended reading
  1. AI Superpowers: China, Silicon Valley, and the New World Order by Kai-Fu Lee
  2. Life 3.0: Being Human in the Age of Artificial Intelligence by Max Tegmark
  3. The Master Algorithm by Pedro Domingos (Selected chapters)
  4. Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell
  5. You Look Like a Thing and I Love You by Janelle Shane
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