Submission information
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
Webform: Knowledge Base Resources
Approved: Yes
Title: CI Computing Module For All
Category: Learning
Skill Level:
Beginner (304)
Description:
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.
Disaster Data Module: Introduces concepts of geospatial big data in disaster
management. Students will learn how to access and process disaster data.
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.
Link to Resource:
- (https://www.ctdm.org/computing-module)
Tags:
ai (271), computer-vision (806), neural-networks (435), visualization (781), big-data (4), gis (275), parallelization (223), data-management (260), data-science (688), bioinformatics (277), open-ondemand (249), hpc-getting-started (824), cpu-architecture (369), distributed-computing (92), job-submission (701), jupyterhub (214), python (69), r (32), cybersecurity (86), containers (55)
Domain:
{Empty}
Would you like to associate this resource with an Affinity Group?: {Empty}