Browse our library of planning courses
This final course of the virtual reality series discusses the big picture, looks at space planning and event setup, discusses alternatives to the full VR experience, and lists a few ways to fine tune the user’s experience for maximum success.
In this third course of the virtual reality series, we will create a VR application from scratch using Unity. We will be adding SketchUp data, VR components, materials, textures, backgrounds, sky and finally virtual reality.
This course will expand on the Tableau for Planners: Introduction and Worksheets. Students will have prior experience will building basic tables and will start to use Tableau to build multi-worksheet dashboards with interactive controls like filtering. Students will also learn how to make the data used in their visualization accessible to the public. At the end of the course, we will demonstrate how to publish the work to Tableau Public and embed dashboards on websites and in social media.
This course will introduce general principles of data visualization and orient the user with the Tableau platform. Learn how to connect to a data set in Microsoft Excel, understand general principles of a relational database, and start building basic worksheets and dashboards.
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.
This course reviews the basic land use forecasting workflows that can be completed using the UrbanSim Cloud Platform, as illustrated by a set of case studies.
At the end of this course, participants will be acquainted with the UrbanSim forecasting methodology, understanding the features available in the UrbanSim Cloud Platform and the basics of an UrbanSim model at the Census block level.
This fifth installment of the GIS Fundamentals series provides instruction on how to geocode addresses, the basics of geoprocessing, and the use of ArcGIS Online for collaborative mapping and processing.
The fourth installment of the Geographic Information Systems Fundamentals series explains how to configure data sets, including advanced methods for selecting data through spatial and SQL queries, working with relational databases and geodatabases, and importing non-spatial data into ArcGIS.
Combining ArcGIS and Google Earth allows for a convenient, powerful way to create and share professional, accurate spatial visualizations of geographical analysis to a wide audience. This course explores how to prep shape files for ingestion into Google Earth, share city data with the public, and aid in pre-visualizing via geo-referencing around potential development sites.