9644 (v.4) Scientific Data Analysis 302

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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.