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ELECTIVESMicroelectronics Engineering
Semiconductor Devices II (0305-560) Psychology/Perception
Psychology of Perception (0514-445) Math
Differential Equations II (1016-307) Matrices and Boundary Value Problems (1016-318) Engineering Mathematics (1016-328) Linear Algebra I (1016-331) Complex Variables (1016-420) Linear Algebra II (1016-432) Numerical Analysis (1016-511) Statistics
Applied Statistics II (1016-353) Introduction to Regression Analysis (1016-354) Non-Parametric Statistics (1016-454) Multivariate Analysis (1016-558) -or- Multivariate Statistics for Imaging Science (0307-834) Physics/Optics
Introduction to Semiconductor Device Physics (1017-300) Electronic Measurements (1017-431) Experimental Optics (1017-511) Optical Physics II (1017-555) Imaging Science
Multi-wavelength Astronomical Imaging (1051-446) Digital Image Processing III (1051-463) (Description) Design & Fabrication of a CCD Camera (1051-528) Physics & Engineering of Medical Imaging (1051-XXX) (Description) Ultrasound (1051-XXX) (Description) MRI (1051-XXX) (Description) Computer Science
Computer Graphics I (4003-570) Computer Graphics II (4003-571) What electives will help deepen my understanding in my required Imaging Science classes? While you may have all the prerequisites to be successful in your required classes in Imaging Science, you should never consider that you are done learning. Electives give you a deeper understanding of material that is used in these classes or that will enhance your grasp of the material you learned in your required classes. The following is a list of a few of your required classes and some electives that are you are encouraged to take if you have time to help you gain a deeper understanding - Geometric Optics (1051.303)Interactions Between Light & Matter (1051.313)
Semiconductor Devices I (0305-460) Semiconductor Devices II (0305-560) Linear Mathematics for Imaging (1051.320)
Complex Variables (1016-420) Linear Algebra (1016-432) Vision & Psychophysics (1051.350)
Psychology of Perception (0514-445) Introduction to Computer Vision (4003-457) Digital Image Processing I & II (1051.361/462)
Matrix Algebra (1016-331) Complex Variables (1016-420) Linear Algebra (1016-432) Numerical Analysis (1016-511) Introduction to Regression Analysis (1016-354) Introduction to Computer Vision (4003-457) Radiometry (1051.370)
Color Science (1051.402)
Introduction to Regression Analysis (1016-354) Multivariate Analysis (1016-558) -or- Multivariate Statistics for Imaging Science (0307-834) Computer Graphics I (4003-570) Computer Graphics II (4003-571) Psychology of Perception (0514-445) Imaging Systems Analysis - Tone Transfer Function (1051.451)Imaging Systems Analysis - MTF & Spatial Artifacts (1051.452)
Electronic Measurements (1017-431) Experimental Optics (1017-511) Optical Physics II (1017-555) Design & Fabrication of a CCD Camera (1051-528) Imaging Systems Analysis - Noise & Random Processes (1051.453)Physical Optics (1051.455)Detectors (1051.465) |
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