Certificate Programme in IoT for Air Pollution Monitoring

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to the Internet of Things (IoT) and its applications in environmental monitoring
  • Fundamentals of Air Pollution and its impact on human health and the environment
  • Air Quality Sensors and Technologies: selection, calibration, and data acquisition
  • IoT Protocols and Communication Networks for Air Pollution Monitoring (MQTT, LoRaWAN, etc.)
  • Data Acquisition, Processing, and Analysis for Air Pollution data using Python
  • Cloud Computing Platforms and IoT Data Management (AWS IoT, Azure IoT Hub, etc.)
  • Building and Deploying an IoT Air Pollution Monitoring System: a practical project
  • Air Pollution Data Visualization and Reporting using dashboards and mapping tools
  • Legal and Ethical Considerations in Air Pollution Monitoring and Data Management

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role in IoT Air Pollution Monitoring (UK) Description IoT Air Quality Data Scientist Develops advanced algorithms and machine learning models for analyzing air pollution data collected from IoT sensors, providing valuable insights for environmental agencies and businesses.

Data analysis and IoT skills are crucial.

IoT Sensor Network Engineer Designs, deploys, and maintains the infrastructure of IoT sensor networks for real-time air quality monitoring.

Expertise in network engineering and IoT device management is required.

Air Pollution Monitoring Consultant Provides expert advice to clients on air quality solutions using IoT technology.

Environmental consulting and IoT application knowledge is essential.

IoT Embedded Systems Developer (Air Quality) Develops firmware and software for IoT sensors used in air pollution monitoring.

Strong skills in embedded systems and IoT protocols are necessary.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFICATE PROGRAMME IN IOT FOR AIR POLLUTION MONITORING
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
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