• Presents medical imaging with MRI, motivated by examples of problems in human health that engage students in imaging hardware design, data acquisition and image reconstruction, and signal analysis and inference. Data from scientific and clinical applications in neuro- and cardiac MRI as applied in current practice are sourced for computational labs. Labs include kits for interactive and portable low-cost devices that can be assembled by the students to demonstrate fundamental building blocks of an MRI system. Students program lab MRI systems on their laptops for data collection and image reconstruction. Students apply concepts from lectures in labs for data collection for image reconstruction, image analysis, and inference by their own design, drawing on concepts in signal processing and machine learning.

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