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Institution:
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Princeton University
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Subject:
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Description:
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Course treats inverse problems from both theoretical and applied perspectives. Students learn to develop the necessary theory to pose, interpret, and solve inverse problems, focusing on topics including error characterization, linear and non-linear methods, approximations, Kalman filters, use of prior constraints, and observing system design. Concepts are illustrated with examples from the current literature on the Earth's carbon cycle.
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Credits:
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0.00 - 4.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(609) 258-3000
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Regional Accreditation:
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Middle States Association of Colleges and Schools
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Calendar System:
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Semester
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