Class Description

As an experienced leader in silicon valley and instructors at universities, my course design is to provide a comprehensive AI foundation covering mathematics and computer science for young students. We aim to spark students' interest in AI, preparing them to be either users or designers of AI in the near future. This course is designed to provide long-term benefits, whether students choose to use AI or study it further. We hope this course will help students develop a strong foundation and lasting interest in AI, benefiting them in their future endeavors, whether as AI users or designers.

Content:
In this course, we will teach students important technical knowledge about AI, including:
- Calculus and Linear Algebra (8th to 9th grade level)
- Programming (8th to 9th grade level)
- Probability and Statistics (9th to 10th grade level)
- Data-related concepts 

Course Philosophy:
- Focus on essential AI knowledge
- Skip extensive math and computer science courses
- Teach only the most crucial content for AI understanding


Course structure:
- 5 weeks, 10 sessions total
- Each session focuses on one topic (10 topics in total)
- Topics are relatively independent, allowing flexibility if a student needs more time to review for one class

Teaching approach:
- Encourage students to consider relationships between topics
- Assign homework and offer a Final Certificate
- Provide personalized plans and supplementary materials
- Offer additional guidance for students interested in deeper learning

Classroom interaction:
- Encourage questions during class
- Share class slides after each session
- Promote independent thinking through homework assignments