Decision-Making Under Uncertainty

Stanford Continuing Studies

Stanford Continuing Studies

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About the course

The decisions we make in our lives (business, saving and spending, health and lifestyle, relationships, parenting, to name a few) involve luck, uncertainty, and risk, but we most often don’t think deeply about how we are actually making these important decisions. In this course, we will explore decision-making cognitive and emotional biases, and investigate the best techniques from computer science, statistics, finance, and gambling for decomposing the elements of our decisions, applying data, and weighing the probabilities of various outcomes. We will look at how artificial intelligence systems make predictions about the future, how stock-trading algorithms manage risk, how dating apps decide who may be a good match, and how the Cold War was the ultimate application of game theory. We will use open source tools and code to model decisions. Students will leave the course with a set of mental models, probabilistic techniques, and statistical tools that they can apply to their own personal and professional decisions.

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Decision-Making Under Uncertainty at Stanford Continuing Studies

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

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