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Learning objectives

The learning materials throughout this will include videos, articles and interactive materials such as quizzes and forums.
Target objective icon with magnifying glass showing objective target goal concept.
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By the end of this course, you will be able to:

  1. Understand the importance of transport data in addressing urban mobility challenges in emerging cities.
  2. Collect and identify relevant transport data using traditional and innovative methods for public and private transport.
  3. Process and analyze transport data to enhance transport planning, traffic engineering, street design, and operations.
  4. Visualize and communicate transport data effectively to inform decision-making for stakeholders.
  5. Apply best practices from international case studies to optimize urban mobility.
  6. Get introduced to open data governance challenges and application of AI in transport.
  7. Collaborate across sectors for sustainable urban mobility solutions.

Since this course covers multidisciplinary areas like transport planning, engineering, and operations, many industry-specific acronyms are used. A glossary of these terms is provided in the PDF below. Please refer to this glossary as you progress through the course whenever needed.

Glossary

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Data Fundamentals for Sustainable Mobility

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FutureLearn - Learning For Life

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