Lecturer, Geospatial Data Sciences
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The world is currently experiencing complex challenges in social, economic, and environmental sustainability. Geographic information systems (GIS) help us organize, analyze, and display large spatial datasets that reveal critical spatial and temporal patterns crucial for addressing these complex issues.
“GIS: Geographic Information Systems for Sustainability” is designed for sustainability professionals seeking an introduction to GIS that is accessible, geospatial professionals beginning to delve into sustainability, and learners needing some exposure to GIS for their job. Through this course, you’ll learn fundamental GIS principles through the lens of the United Nations’ Sustainable Development Goals. You’ll engage with instructor-led lectures about how GIS can be applied to various aspects of sustainability. You’ll hear from sustainability professionals about the relevance of GIS in their own work and where they see GIS and sustainability tying together in the future. You’ll also gain technical GIS skills through hands-on exercises using real-world data and scenarios. By learning how to use GIS, you can guide your organization to use spatial analysis in sustainability practices that increase public awareness, empower communities, or help decision-makers engage diverse stakeholders.
This is the fourth course in “Green Skills for a Sustainable and Just Future," a course series dedicated to shaping the next generation of sustainable practices and leadership.
GIS: Geographic Information Systems for Sustainability is the fourth course in the Green Skills for a Sustainable and Just Future series. This online course introduces learners to core GIS concepts through the lens of global sustainability challenges. Focusing on real-world spatial data and the UN Sustainable Development Goals, the course builds practical GIS skills for analyzing patterns, supporting decision-making, and communicating insights that empower communities and stakeholders.
This abbreviated syllabus description was created with the help of AI tools and reviewed by staff. The full syllabus is available to those who enroll in the course.
Module 1: Monitor, Identify, Assess Sustainability Issues
Module 2: Identify Trends and Perform Forecasting
Module 3: Solve Multi-layered Issues and Optimize Decision Making
Module 4: Communicate with / Engage / Empower Stakeholders for a Sustainable and Just Future
Learners must earn at least 80% overall to pass. Four quizzes are weighted equally at 25% each.
Lecturer, Geospatial Data Sciences
Lecturer in Program in the Environment and Geospatial Data Sciences
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Beginner Level
There are no specific prerequisites based on knowledge, skills, or experience.