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9644 (v.4) Scientific Data Analysis 302
Area: Department of Applied Physics Contact Hours: 4.0 Credits: 25.0 Lecture: 1 x 2 Hours Weekly Laboratory: 1 x 2 Hours Weekly Prerequisite(s): 7869 (v.3) Scientific FORTRAN Programming 152 or any previous version
AND
7905 (v.5) Mathematical Methods 202 or any previous version
Multidimensional data arrays, sensor/transducer convolution of data, sensor characteristics. Processing, image analysis. Presentation, graphical display. Case studies, for example - optical and marine instrumentation, geophysical data arrays, ground based and remotely sensed images.
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