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Urban AI

What Will Learn?

  • Course Aims
  • Course Goals
  • Good Health and Well-being
  • Quality Education
  • Gender Equality
  • Clean Water and Sanitation
  • Affordable and Clean Energy
  • Decent Work and Economic Growth
  • Industry, Innovation and Infrastructure
  • Reduced Inequality
  • Sustainable Cities and Communities
  • Climate Action
  • Peace and Justice Strong Institutions

Requirements

Description

  • English Description

    Introduction to AI, Data acquisition and Governance, City Planning and AI: Similarities and Synergies, Citizen science and public engagement in smart cities, Role of planner in Industry 4.0, AI Urbanism, AI for Building and Infrastructure, AI and urban nexus, AI for Urban issues: Health, Safety, Resilience, Biodiversity, Climate Change, Digital revolution and AI challenges
  • Arabic Description

    Introduction to AI, Data acquisition and Governance, City Planning and AI: Similarities and Synergies, Citizen science and public engagement in smart cities, Role of planner in Industry 4.0, AI Urbanism, AI for Building and Infrastructure, AI and urban nexus, AI for Urban issues: Health, Safety, Resilience, Biodiversity, Climate Change, Digital revolution and AI challenges
  • Department
    Urban Planning
  • Credit Hours
    2
  • Grades
    Total ( 100 ) = Midterm (15) + tr.Major Assessment (45 = tr.Industry 0% , tr.Project 30% , tr.Self_learning 015% , tr.Seminar 0% ) + tr.Minor Assessment (5) + tr.Oral/Practical (15) + Exam Grade (20)
  • Hours
    Lecture Hours: 1, Tutorial Hours: 0, Lab Hours: 3
  • Required SWL
    75
  • Equivalent ECTS
    3
  • - As Imdat and Prithwish Basu. 2022. Artificial Intelligence in Urban Planning and Design Technologies Implementation and Impacts. Amsterdam: Elsevier. - As Imdat and Prithwish Basu. 2022. Artificial Intelligence in Urban Planning and Design Technologies Implementation and Impacts. Amsterdam: Elsevier. .