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Feb 10, 2025
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IE 612 - Statistical Learning for Complex Systems3 Credit Hours
Will introduce the theory, algorithms, and practice of statistical learning and focus on its interaction and integration with complex systems in science and engineering. With an emphasis of predictability, computability and stability, this course will provide new learning-based tools being developed for the modeling, design, control, estimation, and optimization of complex systems including time, event and decision-driven dynamic systems, manufacturing systems, and scientific experimentation. Real-world and hands-on examples are used to illustrate the methods taught, and further reinforce and facilitate the integration of statistical learning and systems theory in science and engineering.
Registration Restriction(s): Minimum student level – graduate.
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