Coursera

Qualitative and Quantitative Analysis of Disaster Risk (Coursera)

Offered by Inter-American Development Bank - IDB,

This course will teach you how to identify and analyze the risks of natural disasters in infrastructure projects. You will learn about different types of qualitative and quantitative analysis, as well as the methodologies and tools used to conduct these analyses in order to apply the knowledge. You will review risk models and comprehensive risk management.

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Interesting practical exercises will be presented that require the installation of specific software from the Inter-American Development Bank to conduct analyses related to the presented contents.
This course is ideal for individuals interested in risk management, project planning, and climate change. It will also be useful for those working in government, non-governmental organizations, or the private industry.
This course is part of a Specialization. Before starting, we recommend you take Course 1: "Natural Disaster Risk in Infrastructure Projects".

This course is part of the Natural Disaster and Climate Change Risk Assessment Specialization.

What you'll learn

Identify key aspects of qualitative and quantitative analysis of natural disaster risks in infrastructure projects.
Recognize methodologies and tools that enable qualitative and quantitative analysis of natural disaster risks.
Identify cases where qualitative and quantitative analysis of disaster risks is required in infrastructure projects.

Syllabus

Week 1
This course addresses the qualitative and quantitative methodology for disaster risk management in infrastructure projects, using best practices, examples, and case studies. We will explore the importance of both types of analysis and the benefits of complementing one with the other depending on the needs of each situation. Additionally, we will delve into each methodology with recommended tools such as the failure mode identification process, fault trees, and event trees to capture the complexity of system responses.

Week 2

Go to Class

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