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Course name

Connected for Good: Building Green, Resilient and Inclusive Digital Infrastructure

Education Space

Learning pathway summary

How can connected things help create a more sustainable world, and how can we ensure that the digital infrastructure itself remains energy-efficient, resilient, secure and inclusive?

The Internet of Things (IoT) can support sustainable development by helping us monitor environmental conditions, manage energy and water more efficiently, improve transport and agriculture, and build more resilient communities. At the same time, connected technologies have their own environmental and social costs, including energy use, batteries, electronic waste, data processing and unequal access to digital services.

This course follows the complete IoT pathway from physical measurement to real-world action. Participants explore sensors and measurement quality, edge processing, wireless technologies such as BLE, Wi-Fi, LoRaWAN, NB-IoT, LTE-M and 5G, and practical concepts including data volume, link budgets and battery lifetime. The course also examines energy-efficient IoT design, interoperability, data flows, cybersecurity and system resilience.

By the end of the course, learners will be able to select appropriate IoT technologies and evaluate complete IoT solutions in relation to the Sustainable Development Goals. They will consider not only technical performance, but also measurable sustainability outcomes, environmental footprint, security, resilience and digital inclusion.

Learning outcomes

By the end of this course, learners will be able to: 

  • explain and critically discuss how IoT and digital connectivity can support selected Sustainable Development Goals.
  • select appropriate sensors and measurement strategies for typical sustainable-IoT applications, taking into account the measurand, measurement range, accuracy, resolution, sampling rate, calibration, environmental conditions, and energy consumption.
  • compare and select wireless communication technologies for IoT applications using engineering criteria including range, data rate, energy consumption, spectrum, network topology, mobility, coverage, reliability, and infrastructure availability.
  • perform basic quantitative analyses relevant to sustainable IoT systems, including.
  • evaluate energy and environmental impacts of IoT devices and networks using concepts such as Green of IoT, Green by IoT.
  • design a basic end-to-end IoT architecture integrating sensors, embedded processing, radio connectivity, gateways/networks, data services, security mechanisms and user-facing applications.
  • identify major interoperability, cybersecurity, privacy and inclusion requirements.
Learning pathway details
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Corresponding SDGs
SDG9: Industry, innovation and infrastructure, SDG11: Sustainable cities and communities
Workload
10 hrs
Learning pathway creator
Lodz University of Technology
https://p.lodz.pl
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