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Courses Of Interest To IAMCS Students
Title: Stat Decision Theory
Instructor: Jeff Hart
Title: Applied Statistics and Data Analysis
Instructor: Mike Sherman
Prerequisite : Approval of instructor
Information: Syllabus
Title: Predictive Computational Science and Engineering
Instructor: Ryan McClarren
Prerequisite : Approval of instructor
Information: Under the umbrella of "predictive computation" we need to quantitatively assess, rigorously and transparently, the degree to which 1) the code correctly solves the underlying equations, 2) the equations are an adequate description of the behavior for the system of interest, and 3) we can properly characterize how uncertainties in the inputs to the code manifest themselves in uncertainties in the predictions.
Title: Introduction to Microlocal Analysis
Instructor: Peter Kuchment
Information: Microlocal analysis is an important technique in the contemporary partial diferential equations, harmonic analysis, and complex analysis, knowledge of the basics of which should be in the toolbox of any analyst working in these areas and their applications. Among the applied topics where microlocal analysis plays a major role one can mention for instance medical imaging, geophysics, seismology, industrial non-distructive testing, and mathematical physics. Class Web page: