University of Arizona 3 credits Optical Sciences, Col
This course provides a unified introduction to imaging science and machine learning, integrating deterministic and statistical models of imaging systems with modern data-driven algorithms. Students will learn the principles of image acquisition and formation, statistical decision theory and image quality assessment, and machine learning methods for inference and inverse problems in imaging. The course combines rigorous theoretical foundations with hands-on computational exercises using PyTorch. By the end of the course, students will be able to design, implement, and evaluate machine learning and deep learning algorithms for imaging applications.
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