Course Outline

Module 1: Smart Cities Foundations and Global Trends

• Definition and evolution of smart cities

• Urban challenges addressed through smart solutions

• Smart city maturity models and case studies

• Global frameworks and standards (ISO 37120, ITU, UN-Habitat)

Module 2: Smart Infrastructure Planning

• Integrating smart technologies into physical infrastructure

• Smart mobility and intelligent transport systems

• Urban energy systems and smart grids

• Green infrastructure and urban resilience planning

Module 3: Digital Technologies and IoT in Urban Services

• Internet of Things (IoT), AI, and cloud computing for smart cities

• Data-driven services: waste management, street lighting, traffic control

• Digital twins, sensors, and real-time urban monitoring

• Case examples: IoT deployment in city systems

Module 4: Urban Data Analytics and Platforms

• Urban data ecosystems: collection, integration, and use

• Big data and predictive analytics for planning

• Open data platforms and urban observatories

• Lab exercise: analyzing smart city datasets using Power BI or Python

Module 5: E-Governance and Smart Governance Models

• Citizen-centric smart governance frameworks

• Digital platforms for service delivery, participation, and accountability

• Interoperability and system integration across agencies

• Legal and ethical considerations in digital governance

Module 6: Financing and Business Models for Smart Cities

• Investment planning and budgeting for smart projects

• PPPs and smart infrastructure financing models

• Cost-benefit analysis of smart technologies

• Developing business cases and smart city investment proposals

Module 7: Sustainability, Inclusion, and Accessibility

• Ensuring inclusivity in smart city design

• Gender, disability, and affordability considerations

• Climate-smart and low-carbon technology options

• Case study: Inclusive design in African and Asian smart cities

Module 8: Risk Management, Privacy, and Cybersecurity

• Risks in digital infrastructure and data systems

• Cybersecurity protocols and frameworks

• Data privacy, consent, and protection regulations

• Scenario simulation: responding to a cyberattack in a smart system

Module 9: Project Planning and Implementation Strategies

• Life-cycle planning for smart city projects

• Stakeholder coordination and institutional alignment

• Monitoring, Evaluation, and Learning (MEL) for smart cities

• Practical: Drafting a smart project implementation roadmap

Module 10: Site Visit, Presentations, and Evaluation

• Field visit to a smart city initiative or urban innovation hub

• Group work: Presenting smart city project proposals

• Peer review and facilitator feedback

• Post-training knowledge assessment and wrap-up