We may earn an affiliate commission when you visit our partners.
Robert Monarch
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/gxvi6t/ai
Two deals to help you save
We found two deals and offers that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
What's inside
Syllabus
Introduction to AI and Disaster Management
Satellite Imagery to Detect Disaster Locations
Analyzing Text Data to Gain Insights
Read more
Syllabus
Introduction to AI and Disaster Management
Satellite Imagery to Detect Disaster Locations
Analyzing Text Data to Gain Insights
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops AI skills through a mix of theoretical insights and applied case studies
Taught by Robert Monarch, a recognized expert in disaster management
Develops AI skills that can be applied to real-world humanitarian challenges
Suitable for learners interested in disaster management, AI, or humanitarian work
Save this course
Save AI and Disaster Management to your list so you can find it easily later:
Save
Save
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in AI and Disaster Management with these
activities:
Review Introduction to Computer Vision
Show steps
Reinforce your understanding of Computer Vision concepts
Browse courses on
Computer Vision
Show steps
-
Review online tutorials or videos on basic computer vision concepts
-
Complete practice exercises and quizzes
-
Discuss computer vision techniques with classmates or online forums
Explore Natural Language Processing (NLP) Techniques
Show steps
Strengthen your NLP skills by following guided tutorials
Browse courses on
Natural Language Processing
Show steps
-
Identify online tutorials or courses on NLP concepts relevant to the course
-
Follow the tutorials and practice the techniques demonstrated
-
Apply NLP techniques to analyze text data related to disaster management
Practice Natural Language Processing
Show steps
Expand your understanding of NLP techniques by working through interactive tutorials.
Browse courses on
Natural Language Processing
Show steps
-
Identify a reputable online resource for NLP tutorials.
-
Choose a tutorial that aligns with your interests.
-
Follow the tutorial step-by-step.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Create a Visual Guide to Disaster Response
Show steps
Enhance your understanding of disaster response by creating a visual representation of the process.
Show steps
-
Choose a visual format (e.g., infographic, chart, diagram).
-
Identify the key stages of the disaster management cycle.
-
Design visuals that illustrate the steps involved in each stage.
Practice Disaster Simulations
Show steps
Enhance your decision-making and response skills in simulated disaster situations.
Browse courses on
Disaster Management
Show steps
-
Identify online or in-person disaster simulation programs.
-
Participate in simulations designed for different types of disasters.
-
Review the simulation results to identify areas for improvement.
Develop a Disaster Response Plan
Show steps
Apply your knowledge of the disaster management cycle by creating a comprehensive plan.
Browse courses on
Disaster Management
Show steps
-
Identify the potential hazards that could affect your area.
-
Research best practices in disaster response.
-
Develop a plan that outlines specific actions for each phase of the disaster management cycle.
Extract Insights from Disaster Aid Requests
Show steps
Enhance your ability to analyze text data related to disaster relief
Browse courses on
Text Analysis
Show steps
-
Obtain disaster aid request data from organizations or government sources
-
Use text analysis techniques to identify trends and patterns in aid requests
-
Create visualizations or dashboards to present your findings
-
Share your insights with relevant stakeholders
Volunteer with a Disaster Relief Organization
Show steps
Gain hands-on experience and make a meaningful contribution to disaster relief efforts.
Browse courses on
Disaster Management
Show steps
-
Research local disaster relief organizations.
-
Identify your areas of interest and skills.
-
Reach out to organizations and offer your assistance.
Attend a Disaster Management Workshop
Show steps
Gain practical knowledge and insights from experts in disaster management
Browse courses on
Disaster Management
Show steps
-
Identify and register for workshops or seminars on disaster management
-
Attend the workshop and actively participate in discussions and activities
-
Network with professionals in the field
Develop a Case Study on Disaster Management
Show steps
Deepen your understanding of disaster management by analyzing a real-world case.
Browse courses on
Disaster Management
Show steps
-
Select a specific disaster event or response effort.
-
Gather data from reliable sources (e.g., reports, news articles, interviews).
-
Analyze the data to identify key factors and lessons learned.
-
Write a report summarizing your findings and recommendations.
Mentor Junior Students or Newcomers to Disaster Management
Show steps
Contribute to the community and reinforce your understanding by mentoring others
Browse courses on
Mentoring
Show steps
-
Reach out to disaster management organizations or programs looking for mentors
-
Provide guidance and support to mentees on disaster management concepts and practices
-
Share your experiences and knowledge
-
Receive feedback from your mentees and reflect on your own learning
Review Introduction to Computer Vision
Show steps
Reinforce your understanding of Computer Vision concepts
Browse courses on
Computer Vision
Show steps
Show steps
Show steps
- Review online tutorials or videos on basic computer vision concepts
- Complete practice exercises and quizzes
- Discuss computer vision techniques with classmates or online forums
Explore Natural Language Processing (NLP) Techniques
Show steps
Strengthen your NLP skills by following guided tutorials
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Identify online tutorials or courses on NLP concepts relevant to the course
- Follow the tutorials and practice the techniques demonstrated
- Apply NLP techniques to analyze text data related to disaster management
Practice Natural Language Processing
Show steps
Expand your understanding of NLP techniques by working through interactive tutorials.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Identify a reputable online resource for NLP tutorials.
- Choose a tutorial that aligns with your interests.
- Follow the tutorial step-by-step.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Create a Visual Guide to Disaster Response
Show steps
Enhance your understanding of disaster response by creating a visual representation of the process.
Show steps
Show steps
Show steps
- Choose a visual format (e.g., infographic, chart, diagram).
- Identify the key stages of the disaster management cycle.
- Design visuals that illustrate the steps involved in each stage.
Practice Disaster Simulations
Show steps
Enhance your decision-making and response skills in simulated disaster situations.
Browse courses on
Disaster Management
Show steps
Show steps
Show steps
- Identify online or in-person disaster simulation programs.
- Participate in simulations designed for different types of disasters.
- Review the simulation results to identify areas for improvement.
Develop a Disaster Response Plan
Show steps
Apply your knowledge of the disaster management cycle by creating a comprehensive plan.
Browse courses on
Disaster Management
Show steps
Show steps
Show steps
- Identify the potential hazards that could affect your area.
- Research best practices in disaster response.
- Develop a plan that outlines specific actions for each phase of the disaster management cycle.
Extract Insights from Disaster Aid Requests
Show steps
Enhance your ability to analyze text data related to disaster relief
Browse courses on
Text Analysis
Show steps
Show steps
Show steps
- Obtain disaster aid request data from organizations or government sources
- Use text analysis techniques to identify trends and patterns in aid requests
- Create visualizations or dashboards to present your findings
- Share your insights with relevant stakeholders
Volunteer with a Disaster Relief Organization
Show steps
Gain hands-on experience and make a meaningful contribution to disaster relief efforts.
Browse courses on
Disaster Management
Show steps
Show steps
Show steps
- Research local disaster relief organizations.
- Identify your areas of interest and skills.
- Reach out to organizations and offer your assistance.
Attend a Disaster Management Workshop
Show steps
Gain practical knowledge and insights from experts in disaster management
Browse courses on
Disaster Management
Show steps
Show steps
Show steps
- Identify and register for workshops or seminars on disaster management
- Attend the workshop and actively participate in discussions and activities
- Network with professionals in the field
Develop a Case Study on Disaster Management
Show steps
Deepen your understanding of disaster management by analyzing a real-world case.
Browse courses on
Disaster Management
Show steps
Show steps
Show steps
- Select a specific disaster event or response effort.
- Gather data from reliable sources (e.g., reports, news articles, interviews).
- Analyze the data to identify key factors and lessons learned.
- Write a report summarizing your findings and recommendations.
Mentor Junior Students or Newcomers to Disaster Management
Show steps
Contribute to the community and reinforce your understanding by mentoring others
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Reach out to disaster management organizations or programs looking for mentors
- Provide guidance and support to mentees on disaster management concepts and practices
- Share your experiences and knowledge
- Receive feedback from your mentees and reflect on your own learning
Career center
Learners who complete AI and Disaster Management will develop knowledge and skills
that may be useful to these careers:
Emergency Management Director
Emergency Management Director
An Emergency Management Director is responsible for coordinating emergency response plans for a community or organization. This course may be useful to an Emergency Management Director as it provides an overview of how AI can be used in disaster management, including using computer vision to analyze satellite imagery for damage, and using natural language processing to understand trends in aid requests following disasters. This would aid in coordinating emergency response plans and recovery efforts.
Resilience Officer
Resilience Officer
A Resilience Officer develops and implements strategies to help communities and organizations prepare for and recover from disasters. This course may be useful to a Resilience Officer as it provides an overview of all four phases of the disaster management cycle, and covers the use of AI in disaster management. This would aid in developing and implementing strategies to enhance community and organizational resilience to disasters.
Humanitarian Aid Worker
Humanitarian Aid Worker
A Humanitarian Aid Worker provides assistance to people affected by disasters and emergencies. This course may be useful to a Humanitarian Aid Worker as it provides an overview of how AI can be used in disaster management, including using computer vision to analyze satellite imagery for damage, and using natural language processing to understand trends in aid requests following disasters. This would aid in providing assistance to people affected by disasters and emergencies in a more efficient and effective way.
Risk Analyst
Risk Analyst
A Risk Analyst analyzes risks and develops strategies to mitigate them. This course may be useful to a Risk Analyst as it provides an overview of all four phases of the disaster management cycle. This would give Risk Analysts a comprehensive understanding of how AI can be used to manage risks associated with disasters.
Systems Analyst
Systems Analyst
A Systems Analyst analyzes and designs computer systems to meet the needs of organizations. This course may be useful to a Systems Analyst as it provides an overview of all four phases of the disaster management cycle. This would give Systems Analysts a comprehensive understanding of how AI can be used in disaster management, helping them better design systems to aid in disaster management and recovery.
Geospatial Analyst
Geospatial Analyst
A Geospatial Analyst uses geospatial data to solve problems and make decisions. This course may be useful to a Geospatial Analyst as it covers the use of computer vision to analyze satellite imagery for damage. This knowledge would assist Geospatial Analysts in analyzing the severity of disasters and understanding the damage caused, helping them make better decisions for disaster management and recovery.
Urban Planner
Urban Planner
An Urban Planner plans and designs cities and communities. This course may be useful to an Urban Planner as it provides an overview of all four phases of the disaster management cycle. This would give Urban Planners a comprehensive understanding of how AI can be used in disaster management, helping them better plan and design cities and communities that are more resilient to disasters.
Disaster Recovery Coordinator
Disaster Recovery Coordinator
A Disaster Recovery Coordinator leads teams to minimize the impact of disasters on an organization by organizing computer systems and data recovery. This course may be useful to a Disaster Recovery Coordinator as it covers all four phases of the disaster management cycle, including mitigation, preparation, response, and recovery. This course would aid in understanding how AI can be used in every step of disaster management and recovery.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. This course may be useful to a Machine Learning Engineer as it covers the use of computer vision and natural language processing techniques in disaster management. This would help Machine Learning Engineers build AI models to aid in disaster management and recovery.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course may be useful to a Software Engineer as it covers the use of computer vision and natural language processing techniques in disaster management. This would help Software Engineers build AI systems to aid in disaster management and recovery.
Natural Language Processing Engineer
Natural Language Processing Engineer
A Natural Language Processing Engineer designs and develops natural language processing models. This course may be useful to a Natural Language Processing Engineer as it covers the use of natural language processing techniques to explore trends in aid requests in the aftermath of disasters. This knowledge would help Natural Language Processing Engineers build AI models to aid in disaster management and recovery.
Project Manager
Project Manager
A Project Manager plans and executes projects, ensuring they are completed on time, within budget, and to the required standard. This course may be useful to a Project Manager as it provides an overview of all four phases of the disaster management cycle. This would provide Project Managers with a comprehensive understanding of how AI can be used in disaster management and recovery, helping them better plan and execute projects related to disaster management.
Environmental Scientist
Environmental Scientist
An Environmental Scientist studies the environment and develops solutions to environmental issues. This course may be useful to an Environmental Scientist as it uses computer vision to analyze satellite imagery and natural language processing techniques to explore trends in aid requests following disasters. These skills would help an Environmental Scientist use AI to find solutions to problems in disaster management.
Computer Vision Engineer
Computer Vision Engineer
Working in computer science, a Computer Vision Engineer may innovate ways to "see" through AI technology. This course may be useful to a Computer Vision Engineer as it covers the use of computer vision to evaluate satellite imagery. This would help engineers analyze the severity of disasters and understand the damage caused. Furthermore, it would aid in evaluating the effectiveness of disaster prevention strategies.
Data Scientist
Data Scientist
A Data Scientist is a professional that uses data to help organizations solve problems and make better decisions, often working in AI and machine learning. This course may be useful to a Data Scientist as it uses computer vision to analyze satellite imagery to identify damage in affected areas, and natural language processing techniques to explore trends in aid requests following disasters. These skills would help Data Scientists use AI to find solutions to problems in disaster management.
For more career information including salaries, visit:
OpenCourser.com/course/gxvi6t/ai
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
AI and Disaster Management.
Provides a practical guide to disaster management for businesses, covering the four phases of the disaster management cycle: mitigation, preparedness, response, and recovery.
Provides a practical guide to disaster management for volunteers, covering the four phases of the disaster management cycle: mitigation, preparedness, response, and recovery.
Provides a comprehensive overview of the field of natural disaster management, covering the four phases of the disaster management cycle: mitigation, preparedness, response, and recovery.
Provides a practical guide to disaster management for practitioners, covering the four phases of the disaster management cycle: mitigation, preparedness, response, and recovery.
Provides a comprehensive overview of the field of disaster management, covering the four phases of the disaster management cycle: mitigation, preparedness, response, and recovery.
Save
Provides a practical guide to disaster management for decision-makers, covering the four phases of the disaster management cycle: mitigation, preparedness, response, and recovery.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/gxvi6t/ai
Share
Similar courses
Here are nine courses similar to
AI and Disaster Management.
Identify Patterns and Trends in Power BI
OpenCourser.com/course/bpvxqw/identify
Identify Patterns and Trends in Power BI
Using Java Streams
OpenCourser.com/course/2cqtf1/using
Using Java Streams
Data Access in Java SE 17 Fundamentals
OpenCourser.com/course/kar99c/data
Data Access in Java SE 17 Fundamentals
Java 11 Fundamentals: Collections
OpenCourser.com/course/fxu5ie/java
Java 11 Fundamentals: Collections
Communicating Data Science Results
OpenCourser.com/course/kezccd/communicating
Communicating Data Science Results
Writing Zeek Rules and Scripts
OpenCourser.com/course/o6o15e/writing
Writing Zeek Rules and Scripts
Concurrent Programming with Go
OpenCourser.com/course/bh5ubo/concurrent
Concurrent Programming with Go
Introduction to Cisco Networking
OpenCourser.com/course/l97hs8/introduction
Introduction to Cisco Networking
Computer Literacy & Basic Computer Skills for Productivity
OpenCourser.com/course/a7617m/computer
Computer Literacy & Basic Computer Skills for Productivity
Level
Introductory
Via
Coursera
Institution
DeepLearning.AI
Instructor
Robert Monarch
Language
English
Transcripts
Español
Français
Português
Deutsch
Italiano
中文
العربية
한국어
日本語
हिंदी
Nederlands
Svenska
Pусский
Türkçe
Polski
Ελληνικά
українська мова
magyar nyelv
Bahasa Indonesia
ไทย
қазақша
اُردُو,
فارسی
বাংলা
پښتو
آذربایجان دیلی
This course belongs to a
collection
called
AI for Good. It's comprised of three courses:
- AI and Public Health
- AI and Disaster Management (viewing)
- AI and Climate Change
Good to know
Develops AI skills through a mix of theoretical insights and applied case studies
Taught by Robert Monarch, a recognized expert in disaster management
Develops AI skills that can be applied to real-world humanitarian challenges
Suitable for learners interested in disaster management, AI, or humanitarian work
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser