This article explores innovative project designs for AI foundation courses targeting second-year undergraduates. It focuses on low-resource implementations from basic algorithms to lightweight LLM applications, helping students grasp core AI concepts through hands-on practice while developing problem-solving skills.
undergraduate teaching
Igniting AI Passion: Resource-Friendly Interactive Projects for Undergraduate AI Foundations
This article explores strategies for designing interactive AI foundation projects for second-year undergraduates with limited computational resources. Through tiered project designs, real-world problem integration, and collaborative learning, students can grasp AI concepts from perceptrons to large language models effectively.
