In this level, students explore Artificial Intelligence (AI) and computational thinking while programming a Smart Greenhouse simulation. They will build mathematical models, track temperature and humidity, and improve their models using real-world factors. Through Python programming, students will learn decision trees, heuristics, and basic machine learning to automate greenhouse management. This course enhances problem-solving, automation, and AI skills, preparing students for real-world applications.
Ages: 13-14 | Prerequisites: Digital Explorers – Level 8
In Level 9, students explore Artificial Intelligence (AI) and computational thinking while applying their programming skills to a Smart Greenhouse simulation. They will build mathematical models, improve them with real-world factors, and introduce AI techniques to automate decision-making. Through engaging programming challenges, students will gain hands-on experience in problem-solving, automation, and AI concepts.
