All Bicycle Planning Courses
Introduction to GIS, Part 2
Take the next step into the world of Geographic Information Systems (GIS) and ArcGIS Pro with an overview of navigation, map projections, and essential map design principles.
Introduction to GIS, Part 1
Learn how to navigate the ArcGIS Pro interface, understand the basics of map projections, and grasp essential map design principles. By the end of this session, you will have a solid foundation for further GIS exploration.
Green Infrastructure
This course defines green infrastructure, highlights its types and benefits, discusses monetary valuation and financing, and explores its role in addressing climate change, equity, and technological change.
Navigating the Ethical Landscape for AI in Urban Planning
Uncover some of the largest ethical issues related to using AI in urban planning and the steps cities around the world are taking to ensure fairness, honesty, and accountability as this revolutionary technology becomes more embedded in the modern world.
Demystifying AI: Terminology, Tools, and Techniques for Urban Planners
Understanding the basics of artificial intelligence, or AI, is increasingly important for urban planners. Learn the capabilities, limitations, and language of emerging technologies that utilize AI methods.
Crime and Urban Planning in the United States
The spatial patterns and environmental characteristics of urban crime offer planners an opportunity to contribute to building crime-resilient communities.
Women and Cities 3: Gender Equity in Private Life
This course explores interiors as they relate to gender equity using several case studies as examples.
Introduction to Smart Cities
This course explores the characteristics and the challenges of smart cities, as well as the potential opportunities for a smart cities approach within the urban design and urban planning fields. This course also discusses the drivers and the essential technologies in a smart city.
Measuring Neighborhood Segregation and Diversity
This course reviews the various ways to measure both segregation and diversity at the neighborhood scale.
Coding for Planners: Up and Running with Python
Python is one of the world’s most popular programming languages, particularly among beginners, thanks to its clear and straightforward syntax. It is also one of the most widely used languages for data science.