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.

 

 

Copyright and Disclaimer
Current as of: February 20, 2003     5:01:33
CRICOS provider code 00301J