智慧感測科技與數據分析之整合實務應用

Integrated practical application of smart sensing technology and data analysis

With the data information provided by the sensor, organize and analyze the data, build a model with a suitable algorithm, and repeatedly test to generate an optimized model, which is used in AI prediction and classification.

Courses on sensing principles, sensing systems and applications, using Synopsys TCAS Sentaurus to predict and improve the electrical characteristics of semiconductor components. Develop silicon photomultipliers and silicon microstrip detectors, which can be applied to medical imaging such as positron computer tomography, laser and 3D ranging, radiation detection, biomedical optoelectronics and high-energy physics.