Learn to communicate and calculate uncertainties using Stochastic Information Packets for better risk assessment.
Learn to communicate and calculate uncertainties using Stochastic Information Packets for better risk assessment.
This comprehensive course introduces probability management principles for handling uncertainties in business and decision-making. Through practical applications in Microsoft Excel, participants learn to use Stochastic Information Packets (SIPs) to better understand and communicate risk. The curriculum covers the Flaw of Averages concept, arithmetic of uncertainty, and interactive simulations. Students explore systematic errors in traditional averaging methods and learn modern techniques for calculating uncertainties. The course emphasizes practical skills in creating and sharing interactive simulations while addressing common misconceptions about statistical analysis.
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English
English
What you'll learn
Recognize and avoid the Flaw of Averages in risk assessment
Master the Arithmetic of Uncertainty for accurate calculations
Create and share interactive simulations using Excel
Understand the five fundamental concepts of uncertainty
Apply probability management to real-world scenarios
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 4 modules in this course
This introductory course provides fundamental training in probability management using Stochastic Information Packets (SIPs). Through structured modules, participants learn to identify and address the Flaw of Averages, perform calculations with uncertain inputs, and create interactive simulations. The curriculum combines theoretical concepts with practical applications in Excel, making complex statistical concepts accessible.
Probability Management Basics
Module 1 · 2 Hours to complete
The Five Mindles of Uncertainty
Module 2 · 2 Hours to complete
Introduction to Applications
Module 3 · 2 Hours to complete
The Human Element
Module 4 · 2 Hours to complete
Fee Structure
Instructor
1 Course
Pioneering Educator in Probability Management and Decision Science
Dr. Sam L. Savage, an Adjunct Professor in Civil and Environmental Engineering at Stanford University, has made significant contributions to the fields of probability management and decision science. As the Executive Director of ProbabilityManagement.org, a nonprofit organization he co-founded, Dr. Savage has been instrumental in developing tools and standards for managing uncertainty in decision-making processes. His academic career includes teaching positions at the University of Chicago Graduate School of Business and a fellowship at the University of Cambridge Judge Business School. At Stanford, Dr. Savage teaches courses such as "Interactive Management Science" (MS&E 107/207), "The Flaw of Averages" (MS&E 22Q), and "Project Risk Analysis" (CEE 242R), where he combines theoretical concepts with practical applications. His innovative approach to teaching management science techniques uses interactive spreadsheets to make complex concepts accessible to students and professionals alike. Dr. Savage's work extends beyond academia, as he has consulted widely in industries ranging from petroleum to healthcare, and has served as an expert witness in litigation. His books, including "The Flaw of Averages" and "Chancification," have been influential in addressing the challenges of decision-making under uncertainty.
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