Curriculum
- 5 Sections
- 44 Lessons
- Lifetime
Expand all sectionsCollapse all sections
- Module 1: Understanding Cities and UrbanizationLearning Objectives: Understanding the foundational concepts, dynamics, and global frameworks of cities and urbanization.14
- 1.1Key Terms
- 1.2Session 1.1: Defining Cities: Conceptual Foundations
- 1.3Quiz 1.1: Knowledge Check1 Question
- 1.4Session 1.2: Cities as “Systems of Systems”
- 1.5Session 1.3: New Urban Agenda
- 1.6Session 1.4: Cities as Drivers of Economic Growth
- 1.7Quiz 1.2: Knowledge Check1 Question
- 1.8Session 1.5: Defining and Understanding Urbanization Through a Global Lens
- 1.9Session 1.6: Major Global Trends
- 1.10Session 1.7: World Urbanization Prospects
- 1.11Quiz 1.3: Knowledge Check1 Question
- 1.12Session 1.8: Sustainable Development Goal 11 – Sustainable Cities and Communities
- 1.13Session 1.9: High-Level Political Forum – UNITAR Session
- 1.14Quiz 1.4: Module 1 Assessment7 Questions
- Module 2: Urban Problems and Planning in an Urban CenturyLearning Objectives: Understand the key structural challenges facing cities and how planning, data, and emerging technologies are shaping modern urban management.19
- 2.1Key Terms
- 2.2Session 2.1: Understanding Urban Problems in an Urban Century
- 2.3Quiz 2.1: Knowledge Check1 Question
- 2.4Session 2.2: Housing Pressures and Informal Urbanization
- 2.5Quiz 2.2: Knowledge Check1 Question
- 2.6Session 2.3: Infrastructure Deficits and Service Provision
- 2.7Session 2.4: Urban Inequality and Spatial Segregation
- 2.8Quiz 2.3: Knowledge Check1 Question
- 2.9Session 2.5: Urban Planning: From Spatial Design to Intelligent Urban Systems
- 2.10Session 2.6: Flashback – Early International Perspectives on Urban Planning
- 2.11Session 2.7: Measuring Cities and Urban Systems
- 2.12Quiz 2.4: Knowledge Check1 Question
- 2.13Session 2.8: Urban Form and Spatial Expansion
- 2.14Session 2.9: Artificial Intelligence and the Future of Urban Planning
- 2.15Session 2.10: Data-Driven Urban Planning
- 2.16Session 2.11: AI in Action: Urban Digital Twins
- 2.17Session 2.12: The Future of AI-Enabled Urban Governance
- 2.18Quiz 2.5: Knowledge Check1 Question
- 2.19Quiz 2.6: Module 2 Assessment7 Questions
- Module 3: AI Infrastructure and Multi-Sector Governance Across Urban InstitutionsLearning Objectives: Examine how cities scale AI through ecosystem collaboration and institutional coordination.14
- 3.1Key Terms
- 3.2Session 3.1: Integrating Infrastructure Data Across City Systems
- 3.3Quiz 3.1: Knowledge Check1 Question
- 3.4Session 3.2: Governance Challenges of AI in Cities
- 3.5Session 3.3: Institutional Coordination for Urban AI
- 3.6Session 3.4: Cross-Sector Partnerships and Ecosystem Collaboration
- 3.7Session 3.5: Fragmentation vs. Ecosystem Coordination
- 3.8Session 3.6: Components of Effective Cross-Sector Collaboration
- 3.9Quiz 3.2: Knowledge Check1 Question
- 3.10Session 3.7: Case Study – AI in Action: How IBM is leveraging AI and multi-sector partnership for ecosystem collaboration
- 3.11Session 3.8: Case Study 2: IBM Sustainability Accelerator – A Multi-Sector Innovation Ecosystem
- 3.12Session 3.9: International Organizations and Standards
- 3.13Quiz 3.3: Knowledge Check1 Question
- 3.14Quiz 3.4: Module 3 Assessment2 Questions
- Module 4: Integrating Cities for Ecosystem CollaborationLearning Objectives: Understand how integrated urban systems and cross-sector collaboration enable cities to anticipate risks, manage interdependent infrastructure, and strengthen resilience through data, technology, and ecosystem partnerships.16
- 4.1Key Terms
- 4.2Session 4.1: Urban Risk, Vulnerability, and Cascading Impacts
- 4.3Session 4.2: Sendai Framework for Disaster Risk Reduction
- 4.4Quiz 4.1: Knowledge Check1 Question
- 4.5Session 4.3: Environmental Monitoring, Climate Intelligence, and Urban Sustainability
- 4.6Quiz 4.2: Knowledge Check1 Question
- 4.7Session 4.4: Linking Urban Systems for Integrated Resilience
- 4.8Quiz 4.3: Knowledge Check1 Question
- 4.9Session 4.5: Strengthening Social and Institutional Resilience
- 4.10Session 4.6: Case Study – Urban Nexus Planning in Nairobi and Cape Town
- 4.11Quiz 4.4: Knowledge Check1 Question
- 4.12Session 4.7: AI, Ecosystem Collaboration, and Urban Resource Systems: A multi-part case study into integrated water systems
- 4.13Session 4.8: AI in Action – Case Study 1 – How Poseidon AI is using Artificial Intelligence to integrate aquaculture systems
- 4.14Session 4.9: AI in Action – Case Study 2
- 4.15Session 4.10: Looking to the Future of Integrated Cities and Artificial Intelligence — Floating Cities
- 4.16Quiz 4.5: Module 4 Assessment3 Questions
- Course Assessment1