AI and Disaster Management
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.
Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- المدة 12 ساعات hours
- الطبع بواسطة DeepLearning.AI
-
Offered by
عن
In Course 3, AI and Disaster Management, you will begin by learning how natural disasters create both short and long-term impacts on the economy, environment, and community. You will learn how the disaster management cycle can be used to reduce the impacts of a disaster and guidelines for how you can engage in disaster-related projects. You will get hands-on experience through a pair of case studies. The first case study looks at Hurricane Harvey, which devastated parts of the Caribbean, Mexico, and the southern United States in 2017. You will use computer vision to identify hurricane damage from satellite imagery. The second focuses on the catastrophic 2010 earthquake in Haiti. You will use natural language processing (NLP) to compare requests for aid that victims made shortly after the earthquake with those that they made several months later. This course is part of the AI for Good Specialization, which demonstrates how AI is being harnessed to tackle some of the world’s biggest challenges — and provides a framework that you can apply to any AI for Good project in assessing if AI can add value. This is a beginner-friendly course. Learners should know high school-level math and basic spreadsheet operations. It is recommended that learners first complete Course 1: AI and Public Health and Course 2: AI and Climate Change.الوحدات
Introduction to Disaster Management
-
6
Videos
6
Videos
- Welcome to AI and Disaster Management
- What is a Disaster?
- The Disaster Management Cycle
- Cyclones Idai & Kenneth
- Cyclones Idai & Kenneth - Response and Recovery
- Cyclones Idai & Kenneth - Mitigation and Preparation
AI and Impact in Disaster Management
-
6
Videos
6
Videos
- AI and Disaster Management
- Helping Communities Help Themselves
- Working Toward Impactful Solutions
- Data Privacy and Related Risks
- Getting Involved and Doing no Harm
- Mark Belinsky - Misinformation and Hate Speech Detection
Quiz
-
1
Assignment
1
Assignment
- AI and Disaster Management
Summary
-
1
Videos
-
1
Readings
1
Videos
- Week 1 Summary
1
Readings
- Acknowledgements
Resources
-
2
Readings
2
Readings
- [IMPORTANT] Have questions, issues or ideas? Join our Forum!
- Week 1 Resources
Lecture Notes (Optional)
-
1
Readings
1
Readings
- Lecture Notes W1
Overhead Imagery in Disaster Management
-
5
Videos
-
1
Readings
-
1
Lab
1
Labs
- Explore Phase - Exploring the Hurricane Harvey Satellite Image Data
5
Videos
- Welcome to Week 2
- AI for Good Framework
- Damage Assessment - Explore Phase
- Damage Assessment - Explore the Data
- Damage Assessment - Explore Phase Checkpoint
1
Readings
- (Optional) Downloading your Notebook, Downloading your Workspace and Refreshing your Workspace
Analyzing Satellite Data from Hurricane Harvey
-
4
Videos
-
2
Lab
2
Labs
- Design Phase - Classifying Images with a Convolutional Neural Network
- Implement Phase - Analyzing Classification Features and Develop a Geo-Locator
4
Videos
- Damage Assessment - Design Phase
- Damage Assessment - Design Phase Checkpoint
- Damage Assessment - Implement Phase
- Damage Assessment - Project Wrap Up
Quiz
-
1
Assignment
1
Assignment
- Damage Assessment for Disaster Response and Recovery
Summary
-
2
Videos
2
Videos
- Week 2 Summary
- Shahrzad Gholami - Damage Assessment with Satellite Imagery
Resources
-
1
Readings
1
Readings
- Week 2 Resources
Lecture Notes (Optional)
-
1
Readings
1
Readings
- Lecture Notes W2
How Text Data Can Help Guide Disaster Response
-
6
Videos
-
1
Lab
1
Labs
- Explore Phase - Exploring the Haiti Earthquake Text Message Data
6
Videos
- Welcome to Week 3
- Haiti Earthquake 2010
- Topic Modeling - Explore Phase
- Topic Modeling - Explore the Data
- Topic Modeling - Visualize the Data
- Topic Modeling - Explore Phase Checkpoint
Processing Text Data
-
4
Videos
-
2
Lab
2
Labs
- Design Phase - Cleaning and Processing Text Data
- Design Phase - Performing Topic Modeling on Text Messages with LDA
4
Videos
- Processing Text Data
- Topic Modeling - Process Text Messages
- Topic Modeling - Latent Dirichlet Allocation (LDA)
- Topic Modeling - Project Wrap Up
End of access to Lab Notebooks
-
1
Readings
1
Readings
- [IMPORTANT] Reminder about end of access to Lab Notebooks
Quiz
-
1
Assignment
1
Assignment
- Text Analysis for Disaster Mitigation and Preparation
Course Wrap Up
-
2
Videos
2
Videos
- Jacqueline Oriscar Lee - Fostering Sustainable Impact in Haiti
- Week 3 and Course Summary
Resources
-
1
Readings
1
Readings
- Week 3 Resources
Lecture Notes (Optional)
-
1
Readings
1
Readings
- Lecture Notes W3
Auto Summary
Discover "AI and Disaster Management," a foundational course in Data Science & AI by Coursera. Learn the four phases of disaster management: mitigation, preparation, response, and recovery. Engage with practical case studies using computer vision on Hurricane Harvey's satellite imagery and NLP techniques on Haiti's 2010 earthquake aid requests. Ideal for beginners, this 720-minute course offers Starter and Professional subscription options. Perfect for those keen on leveraging AI for impactful disaster management solutions.
Robert Monarch