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Advanced Smart City & Building Analytics (Level 2)

This advanced course delves deeper into the technical, social, and economic aspects of smart cities and buildings. It covers advanced building management systems, energy performance analysis, IoT integration, and the role of data science in urban development. Through hands-on projects, students will gain expertise in advanced data analytics techniques, real-time processing, visualization, decision support systems, and IoT architectures. The course also addresses critical issues like cybersecurity, ethical implications, and policy frameworks, preparing participants to contribute to the next generation of smart city solutions.

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Course Duration:

24 Hours

Level:

Advanced

Course Objectives

  • Explore advanced frameworks and models for smart city development.

  • Analyze sustainability and resilience strategies within smart city technologies.

  • Gain in-depth knowledge of building management systems, energy performance metrics, and indoor environmental quality.

  • Apply machine learning, big data, and cloud computing for data processing and predictive analytics.

  • Learn advanced visualization techniques, AR/VR integration, and scenario analysis for urban planning.

  • Design and implement secure IoT ecosystems and address cybersecurity in smart city infrastructures.

  • Understand policy, governance, and ethical considerations in smart city projects.

  • Apply knowledge through a capstone project to develop innovative solutions for real-world smart city or building problems.

Prerequisites

  • Completion of a foundational course in smart cities and building analytics or equivalent experience. 

  • Proficiency in basic data analytics, statistics, and IoT concepts. 

  • Familiarity with data visualization and analytics tools (e.g., Excel, Python, Tableau, Powerbi etc)

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