Linda Nozick is Professor and Director of Civil and Environmental Engineering at Cornell University. She is co-founder and a past director of the College Program in Systems Engineering and has been the recipient of several awards, including a CAREER award from the National Science Foundation and a Presidential Early Career Award for Scientists and Engineers from President Clinton for “the development of innovative solutions to problems associated with the transportation of hazardous waste.” Dr. Nozick has authored over 60 peer-reviewed publications, many focused on transportation, the movement of hazardous materials, and the modeling of critical infrastructure systems. She has been an associate editor for Naval Research Logistics and a member of the editorial board of Transportation Research Part A. Dr. Nozick has served on two National Academy Committees to advise the U.S. Department of Energy on renewal of their infrastructure. During the 1998-1999 academic year, she was a Visiting Associate Professor in the Operations Research Department at the Naval Postgraduate School in Monterey, California. Dr. Nozick holds a B.S. in Systems Analysis and Engineering from the George Washington University and an MSE and Ph.D. in Systems Engineering from the University of Pennsylvania.
Course Overview
A foundation in risk analysis is a crucial skill set in today's business marketplace. When you can understand risk and apply strategies to manage it, you set yourself up for success in an ever-changing world.
In this course, you will explore key risk evaluation strategies and tools. You will begin by delving into the basics of risk analysis, studying hazards, risk management strategies, and vulnerability identification. You will then broaden your focus to visualizing and estimating risk, discussing models such as risk matrices that categorize risks by likelihood and consequence. Finally, you will analyze the causes and effects of adverse events, constructing event trees and performing fault tree analysis using practical tools like Python and R. By the end of this course, you will have a firm grasp of risk analysis and evaluation, including how to assess the likelihood and effects of adverse events.
Key Course Takeaways
- Identify the types of risk and describe the steps involved in creating a risk analysis
- Structure a risk analysis and apply measures to characterize risk
- Apply modeling tools for risk quantification, including fault trees and event trees
How It Works
Course Author
Who Should Enroll
- Risk managers and analysts
- Finance and insurance professionals
- Project managers
- Supply chain managers
- Computer and information security engineers
- Software developers
- Engineers
- Executives
- Professionals across industries interested in understanding risk management
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