GreenTech Innovation Curriculum =============================== Module 1 – Foundations & Sustainability Principles (2 weeks) ---------------------------------------------------------- Goal: Understand core sustainability concepts and environmental challenges. Topics: - Introduction to climate science and environmental challenges - Sustainable development goals and frameworks - Environmental ethics and policy - Introduction to green technologies and innovations - Basic programming concepts with Python - Version control with Git and GitHub Project: Carbon footprint calculator application Module 2 – Environmental Data Analysis (3 weeks) ----------------------------------------------- Goal: Learn to collect, process, and analyze environmental data. Topics: - Environmental data sources and formats - Data collection techniques and sensors - Python libraries for data analysis (pandas, numpy) - Data visualization with matplotlib and seaborn - Statistical analysis for environmental data - Geospatial data handling with geopandas Project: Air quality data analysis dashboard Module 3 – IoT for Environmental Monitoring (3 weeks) --------------------------------------------------- Goal: Build connected sensor systems for environmental monitoring. Topics: - Introduction to IoT architecture - Arduino programming fundamentals - Sensor integration (temperature, humidity, air quality) - Wireless communication protocols - Data logging and transmission - Power management for field deployments Project: Weather station with remote data logging Module 4 – Renewable Energy Systems (2 weeks) ------------------------------------------- Goal: Understand and implement renewable energy solutions. Topics: - Solar, wind, and hydro energy fundamentals - Energy storage technologies - Energy efficiency calculations - Microcontroller-based energy monitoring - Smart grid concepts - Energy optimization algorithms Project: Solar-powered IoT monitoring system Module 5 – Sustainable Agriculture Tech (3 weeks) ----------------------------------------------- Goal: Apply technology to agricultural sustainability challenges. Topics: - Precision agriculture principles - Soil and crop monitoring systems - Irrigation optimization techniques - Machine learning for crop prediction - Vertical farming technologies - Sustainable farming practices Project: Smart irrigation control system Module 6 – Waste Management Innovation (2 weeks) ---------------------------------------------- Goal: Develop technological solutions for waste reduction and management. Topics: - Circular economy principles - Waste classification and tracking systems - Recycling technologies - Composting monitoring systems - Waste-to-energy concepts - Life cycle assessment Project: Smart waste sorting and monitoring system Module 7 – Environmental Monitoring Platform (3 weeks) ---------------------------------------------------- Goal: Build comprehensive environmental monitoring solutions. Topics: - Complete system architecture design - Database schema and data pipelines - Alert systems and notifications - Platform deployment and scaling - User interface design for environmental data - Data security and privacy considerations Project: Full-featured environmental monitoring platform Module 8 – Resource Optimization System (2 weeks) ----------------------------------------------- Goal: Develop systems that optimize resource usage. Topics: - Predictive algorithms for resource management - Automated control systems with IoT actuators - Optimization models for agriculture and energy - Smart irrigation system development - Machine learning for resource prediction - Real-time monitoring and feedback systems Project: Resource optimization system for a specific application Module 9 – Capstone - Climate Tech Solution (4 weeks) --------------------------------------------------- Goal: Deliver a comprehensive climate technology solution. Capstone Ideas: - Urban air quality monitoring network - Smart water management system - Renewable energy optimization platform - Sustainable agriculture technology suite Requirements: - Full system architecture and implementation - IoT integration with cloud platform - Data analytics and visualization - Business case and sustainability impact assessment - Deployment documentation and user guide