IOTA5002

Data-driven Modeling: Learning from Sensor Data

Information Hub / Internet of Things · 3 Credits

Data-driven modeling is revolutionizing the modeling and predicting of complex systems. This cross-disciplinary course will introduce methodologies for integrating time-series analysis, machine learning, engineering mathematics, and mathematical physics, into data-driven methods for inferring and building models from data. At the end of the course, students are expected to understand the principles and methods of extracting patterns and models from data and making effective predictions, and to have hands-on implementations with Python/Matlab. In-class lab demonstrations will also be provided.

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仅展示 2026-27 Fall；历史教学班可通过学期筛选查看。

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2026-27 Fall

IOTA5002 · L01

LAI, Zhilu

3 Credits · Class #6382 · Reference Capacity 30

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2026-27 Fall · PG

3 Credits

官方数据更新时间: 2026-08-28 05:35:00