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Course will address various themes related to modeling complex systems through critical evaluation of technical articles, open discussion, faculty presentations, and computational workshops. Teams of 3-5 faculty will develop monthly units based on different themes, examples of which may include: optimization and uncertainty modeling in science and engineering, particle-based modeling, experimental and field measurements in multi-scale models, linking atomistic- to continuum-scale models, challenges in climate and ocean modeling, homogenization and upscaling of small-scale data. This course is a requirement for MCS IGERT trainees, but it is open to all graduate students.