Course Overview: Unlocking AI for Eco Enthusiasts

Explore the intersection of artificial intelligence (AI) and environmental stewardship in this hands-on middle school course. Tailored for budding tech enthusiasts, nature lovers, and problem solvers, this program goes beyond theory to provide practical insights into the fascinating realm of machine learning, with a specific focus on tabular data.

Throughout the course, students will unravel how computers learn from data to make informed decisions, applying these principles to real-world scenarios. Tech Eco Explorers won't just grasp the foundational concepts of AI; they'll leverage their newfound knowledge to contribute positively to the environment.

Key Highlights:

Delve into machine learning with a focus on tabular data.
Apply AI concepts to real-world environmental challenges.
Enhance problem-solving skills through hands-on projects.
Develop a deep understanding of AI's role in nature conservation.
Gain valuable insights into green technology and its applications.
No coding knowledge is required, making this course accessible to all middle school students. 

Whether you're a tech enthusiast, nature lover, or problem solver, join us in the Tech Eco Explorers class and become an architect of a greener, smarter future!

Week 1: How can we use the Problem Solving Process to solve a problem with machine learning?
"AI and Marine Conservation"
Week 2: What are different types of machine learning?
"AI in Environmental Journalism"
Week 3: How is AI helping to solve problems around the world?
"AI and Green Energy Optimization"
Week 4: What strategies do computer models use to make decisions?
"AI in Plant Conservation"
Week 5: How do computers learn to classify data?
"AI and Nature Photography"
Week 6: How can we use machine learning to make recommendations?
"AI and Habitat Restoration"
Week 7: How can I create an app using machine learning?
"Chatbots for Conservation Education"
Week 8: How can we evaluate machine learning models once they've been trained?
"AI and Sustainable Agriculture"
Week 9: How can I use Model Cards to document my decisions when training a machine learning model?
"Tech Detectives" - AI and Ecology
Week 10: How can I use a Model Card to improve my app?
"AI and Invasive Species Detection"
Week 11: How do computers learn to make predictions with numerical data?
"AI and Water Quality Monitoring"
Week 12: How can we use AI Lab to predict numerical data?
"AI and Climate Change Prediction"
Week 13: How can I customize the code for a machine learning app?
"Eco Drones and AI Flight"
Week 14: What are guidelines we can use to create ethical machine learning apps?
"AI and Nature Conservation Ethics"
Week 15: Can I use real-world data to create an app that uses machine learning?
"AI and Green Infrastructure Planning"
Week 16: How can machine learning be used to address an issue in your community?
"AI and Citizen Science"