“Empowering Environmental Health with Advanced Sensor Networks”
Environmental health tracking through sensor networks has become a crucial tool in monitoring and addressing various environmental issues, including pollution, resource depletion, and climate change. This program introduces participants to the advanced technologies behind sensor networks, including IoT (Internet of Things), data analytics, and real-time environmental monitoring systems. Participants will explore how sensor networks are deployed to track air and water quality, hazardous emissions, and environmental changes across diverse ecosystems, providing valuable insights for public health and environmental sustainability.
Through practical labs and case studies, participants will learn how to design, implement, and manage sensor networks for environmental health tracking. Topics such as data collection, integration of sensors, network architecture, and data interpretation will be covered, along with ethical considerations and regulatory frameworks. By the end of the program, participants will be well-prepared to contribute to environmental monitoring projects using cutting-edge sensor technologies.
This program aims to equip participants with the knowledge and skills to design, implement, and manage advanced sensor networks for tracking environmental health. The focus will be on utilizing sensor technologies to monitor air quality, water quality, and other environmental health parameters to improve sustainability and public health outcomes.
Week 1: Introduction to Sensor Networks for Environmental Health Tracking
Week 2: Air and Water Quality Monitoring Systems
Week 3: IoT Integration and Network Architecture
Week 4: Case Studies, and Ethical Considerations
Standard: ₹8,998 | $198
Discounted: ₹4499 | $99
We accept 20+ global currencies. View list →
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
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Live, mentor-led and certified. Dates and times in IST.
