This course explores the principles and concepts of artificial intelligence (AI). It addresses different types of AI, including machine learning and symbolic AI using board and computer games. Moreover, the course takes a closer look at the pitfalls and societal implications of AI. It also offers additional teaching materials for educators. Join this course to delve into the fascinating world of AI.
Overview
Syllabus
- The World of AI
- What Is AI?
- Exercises
- An Agent That Learns
- Exercises
- Behind the Scenes: Reinforcement Learning
- Exercises
- Traditional AI and Machine Learning
- Exercises
- Downloads
- Assignment Week 1
- More About How Machines Learn
- Supervised Learning
- Exercises
- Behind the Scenes: Supervised Learning
- Exercises
- Unsupervised Learning
- Exercises
- Behind the Scenes: Unsupervised Learning
- Exercises
- Downloads
- Assignment Week 2
- The (Smaller and the) Bigger Picture
- Can Machines Think?
- Exercises
- A Closer Look at Neural Networks
- Exercises
- AI and Society
- Exercises
- Additional Notes for Teachers
- Downloads
- Assignment Week 3
