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NEW THIS TERM

Analytics for Forecasting, Decision, and Risk Management

X445.7 (2 semester units in EECS)

On-demand analytics for risk management have become a popular practice amongst corporations with global reach. Constituents include major firms, trading houses, and internal operations of financial institutions. After introducing the fundamental concepts, this course adopts a pragmatic approach focused on streamlined software algorithms and increases your understanding of modern mathematical and computational software methods that are now being deployed globally. After completing this course, you will be able to bridge the gap between theory and deployable software systems that address volatility and risk management, to help companies protect themselves from adverse effects of uncertainty caused by fluctuations, and to deal better with rapidly changing competition, commodity prices, equity prices, interest rates, and currency exchange rates. Working risk-model examples using MATLAB® or SCILAB® will be provided to students.

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Thurs. June 5, Redwood City