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Guided learning journeys that build knowledge step by step.
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7816 Paths · page 484 / 782
This advanced professional learning path equips air quality professionals with the skills to apply AERMOD, CALPUFF, and CMAQ for regulatory and research applications. It covers the underlying science, model-specific operations, and practical application in regulatory contexts, ensuring learners can select and use appropriate tools for their projects.
This advanced learning path equips water quality managers with the skills to apply and calibrate three industry-standard modeling tools: Qual2K, WASP, and EFDC. Starting with foundational concepts in water quality and modeling, you will progress through hands-on application, calibration, and validation, culminating in a capstone project that integrates all three tools.
A comprehensive learning path for restoration professionals to use environmental models effectively. It covers ecological foundations, modeling techniques, data handling, and practical application in site assessment, prediction, monitoring, and adaptive management.
This learning path equips EIA professionals with the knowledge and skills to effectively apply environmental models within the impact assessment process. It covers foundational modeling concepts, model selection criteria, data requirements, interpretation of results, uncertainty analysis, and communication of modeling outcomes to stakeholders.
This path guides environmental professionals through the advanced use of environmental modeling software, covering foundational modeling concepts, programming skills, GIS integration, and practical troubleshooting. It emphasizes hands-on application to real-world scenarios, enabling learners to build, calibrate, and analyze complex environmental models effectively.
This learning path equips disaster management students with the skills to model community resilience using environmental data. It covers risk assessment, vulnerability analysis, resilience metrics, and the application of models to support planning decisions, culminating in a capstone project.
This path provides a structured introduction to model intercomparison in environmental modeling, covering the foundational concepts, statistical methods, design of intercomparison projects, ensemble analysis, and meta-analysis. It includes a case study to ground the concepts in real-world applications.
This learning path equips policy and environmental science students with the knowledge and skills to effectively use environmental models in policy-making. It covers model fundamentals, uncertainty, interpretation, and communication, emphasizing a critical and practical approach to model-based evidence.
This advanced graduate-level learning path equips sustainability students with the knowledge and skills to model interactions between human and natural systems. It covers foundational concepts in socio-ecological systems, feedback analysis, and integrated modeling approaches, culminating in hands-on practice with representative modeling tools.
This graduate-level path equips students in ecology and economics with the knowledge and skills to model ecosystem services for decision-making. It covers foundational concepts, modeling tools (InVEST and ARIES), mapping and valuation techniques, and scenario analysis, culminating in a practical application project.