CI Computing Module For All

Submission Number: 325
Submission ID: 4818
Submission UUID: fce0c76d-2b71-4e8a-a156-27577dc90cb6
Submission URI: /form/resource

Created: Wed, 09/25/2024 - 21:25
Completed: Wed, 09/25/2024 - 21:26
Changed: Wed, 09/25/2024 - 21:26

Remote IP address: 50.225.254.130
Submitted by: Alana Romanella
Language: English

Is draft: No
Yes
CI Computing Module For All
Learning
ai, computer-vision, neural-networks, visualization, big-data, gis, parallelization, data-management, data-science, bioinformatics, open-ondemand, hpc-getting-started, cpu-architecture, distributed-computing, job-submission, jupyterhub, python, r, cybersecurity, containers
Beginner
Computing Module: Introduces fundamental concepts and skills of Cyberinfrastructure (CI) and High-Performance Computing (HPC) to lower the barrier to becoming CI users in disaster management research. The module will cover the critical topics of CI and HPC with hands-on sessions.
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Disaster Data Module: Introduces concepts of geospatial big data in disaster management. Students will learn how to access and process disaster data.
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Geospatial Analytic Module: Introduces geospatial analytics skills to address real-world challenges in disaster management. The module will use the data introduced in the Disaster Data Module and cover various geospatial analytics topics such as geosimulation, spatial optimization, network analysis, terrain analysis, Geospatial Artificial Intelligence (GeoAI), social sensing, and CyberGIS.