Wildlife AI Explorers: Building Robots for Conservation!

 This week provides an introduction to the field of engineering, exploring its fundamental principles and methodologies. Students will gain a deep understanding of what engineering entails, including its various disciplines and real-world applications. The class will focus on the Engineering Design Process, teaching students how to approach and solve complex problems systematically. Throughout the course, key engineering concepts will be introduced and examined. 

 This week introduces students to wildlife observation techniques, blending traditional methods with modern technology. Participants will gain hands-on experience setting up basic observation stations, learning essential skills for field research. The course incorporates an innovative LEGO Mindstorms EV3 challenge, where students will build a simple rotating camera mount, bridging the gap between engineering and wildlife studies. 

 This module explores the cutting-edge intersection of artificial intelligence and wildlife conservation. It begins with a  presentation on AI applications in wildlife conservation, highlighting current technologies and future possibilities. Students then engage in a thought-provoking group discussion on the ethical considerations of using AI in nature, encouraging critical thinking about the balance between technological advancement and environmental stewardship. 

 This hands-on module immerses students in the practical application of environmental monitoring and robotics. The course begins with a field activity where participants collect crucial environmental data, including temperature, humidity, and soil moisture, gaining firsthand experience in scientific data gathering. Building on this, students tackle an exciting robotics challenge to construct and program a mobile environmental sensor using LEGO Mindstorms EV3.