Advanced Geographic Information Systems (GIS)
What you can learn.
- Apply advanced spatial analysis and data visualization methods to solving real-world problems and answering geographic research questions
- Develop the ability to ask higher-order geographic questions and to solve advanced geographically-based problems
- Assess potential and consequences of geospatial technologies
- Develop computing, problem solving, and project management skills for GIS projects
- Explore techniques, methods, and concepts related to advanced themes in GIS
- Perform quality control assessments of GIS projects
About this course:
This course is a project-based exploration of advanced topics in GIS and geospatial technology, with a focus upon spatial data analysis and visualization techniques. Students complete a series of hands-on weekly projects, each of which focuses upon the use of a defined subset of spatial data analysis and visualization methods in addressing real-world problems and scenarios. Advanced spatial analysis methods covered in this course include network analysis, cost distance analysis, site selection and optimization, interpolation, multi-layer raster data analysis (map algebra), and other related techniques. Basic concepts and techniques associated with spatial statistics, including clustering and spatial dynamics, are also introduced in an applied context.
This is an online course, wherein all course content is delivered online and all interaction among the instructor and the participants will take place online. Students will be earning transferable UCLA course credit for all courses in the certificate program. This course is accredited and approved by the UCLA Academic Senate as a credit-bearing course. It carries lower-division undergraduate credit. Weekly activities include reviewing video lectures, technical screencasts, and readings. Completing practical assignments involve the use of GIS methods to address real-world scenarios; Self-assessment using automated non-graded quizzes; and more.
Technical requirements: Students are responsible for providing a personal computer with a minimum of 4GB of RAM that is capable of running Windows 10. Apple hardware running macOS can be used provided that Windows 10 is installed either using Boot Camp or virtualization (VirtualBox, Parallels, etc.) with at least 4GB of RAM allocated to Windows. Hardware specifications in excess of these minimum requirements will offer better performance and a better student experience. Students will be provided with a student license for ArcGIS as long as they are enrolled in program courses for which ArcGIS is required.