Linda Nozick is a professor in Cornell’s School of Civil and Environmental Engineering. She served as director of the school for more than a decade. Prior to that role, Nozick was the director of the college’s Systems Engineering Program, which she co-founded. Nozick 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.” She is a past U.S. Presidential appointee to the U.S Nuclear Waste Technical Review Board. Nozick has authored over 100 peer-reviewed publications, many focused on transportation, the movement of hazardous materials, and the modeling of critical infrastructure systems. Nozick holds a B.S. in systems analysis and engineering from the George Washington University and a M.S.E 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
100% Online
cornell's Top Minds
career


