Self Paced

Advanced Sensor Networks for Environmental Health Tracking

“Empowering Environmental Health with Advanced Sensor Networks”

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Early access to e-LMS included

  • Mode: Online/ e-LMS
  • Type: Self Paced
  • Level: Moderate
  • Duration: 4 Weeks

About This Course

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.

Aim

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.

Program Objectives

  1. Understand the fundamentals of sensor networks and their role in environmental health tracking.
  2. Learn how to design and deploy sensor networks for monitoring air and water quality.
  3. Explore IoT-based environmental health applications and data analytics.
  4. Analyze ethical, regulatory, and public health implications of using sensor networks for environmental monitoring.

Program Structure

Week 1: Introduction to Sensor Networks for Environmental Health Tracking

  • Overview of Sensor Technologies: Understanding different types of sensors and their applications in monitoring environmental health
  • Applications in Environmental Health Monitoring: Exploring how sensors track key environmental health indicators such as pollution, temperature, and humidity
  • Core Concepts: Sensor calibration, data accuracy, and environmental data metrics

Week 2: Air and Water Quality Monitoring Systems

  • Air Quality Sensors: Understanding sensors for tracking air pollutants, particulate matter, and toxic gases
  • Water Quality Monitoring: Exploring sensors used to measure parameters like pH, turbidity, and chemical contaminants in water
  • Data Collection & Analysis: Techniques for collecting, interpreting, and visualizing air and water quality data

Week 3: IoT Integration and Network Architecture

  • Integrating Sensors with IoT: Practical guidance on connecting sensor networks to IoT for continuous, real-time data collection
  • Network Architecture: Building a robust network for data transmission, processing, and storage in environmental monitoring systems

Week 4: Case Studies, and Ethical Considerations

  • Case Studies: Real-world examples of sensor networks used in air and water quality monitoring, disaster response, and urban health
  • Ethical, Regulatory, and Public Health Implications: Discussion on privacy concerns, regulatory requirements, and the public health impact of sensor data collection

Who Should Enrol?

  • Undergraduate degree in Environmental Science, Chemical Engineering, or Computer Science.
  • Professionals in environmental monitoring, public health, or sustainable development.
  • Individuals with a keen interest in IoT, sensor technologies, and environmental sustainability.

Program Outcomes

  • Mastery of sensor network design for environmental health tracking.
  • Ability to monitor and analyze environmental parameters such as air and water quality.
  • Practical experience with IoT-based environmental data collection systems.
  • Understanding of the ethical and regulatory considerations in environmental monitoring.
  • Skills in deploying sensor networks for public health and environmental sustainability initiatives.

Fee Structure

Standard: ₹8,998 | $198

Discounted: ₹4499 | $99

We accept 20+ global currencies. View list →

What You’ll Gain

  • Full access to e-LMS
  • Real-world dry lab projects
  • 1:1 project guidance
  • Publication opportunity
  • Self-assessment & final exam
  • e-Certificate & e-Marksheet

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