In this course, you will be introduced to the four phases of the disaster management cycle; mitigation, preparation, response, and recovery. You’ll work through two case studies in this course. In the first, you will use computer vision to analyze satellite imagery from Hurricane Harvey in 2017 to identify damage in affected areas. In the second, you will use natural language processing techniques to explore trends in aid requests in the aftermath of the 2010 earthquake in Haiti.



AI and Disaster Management
This course is part of AI for Good Specialization

Instructor: Robert Monarch
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There are 3 modules in this course
What's included
13 videos4 readings1 assignment
What's included
11 videos3 readings1 assignment3 ungraded labs
What's included
12 videos3 readings1 assignment3 ungraded labs
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Reviewed on Oct 23, 2023
Very informative walk-through some of the basics of Disaster Management and some of the AI techniques that are used. Labs are set up well to get an initial feel for applications. Great presentation.
Reviewed on Jul 8, 2023
Great course. Excellent presentation and very motivational
Reviewed on Dec 8, 2024
Great lectures, very insighful; I enjoyed the labs, and the structured framework for approaching the projects. The whole specialization is worthwhile!
Recommended if you're interested in Data Science
University of Pittsburgh
Coursera Instructor Network
Yonsei University
The State University of New York

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