Electives

Microelectronics Engineering

    Semiconductor Devices I (0305-460)
    Semiconductor Devices II (0305-560)

Psychology/Perception

    Cognitive Psychology (0514-443)
    Psychology of Perception (0514-445)

Math

    Differential Equations I (1016-306)
    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 I (1016-352)
    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

    Vibrations and Waves (1017-318)
    Introduction to Semiconductor Device Physics (1017-300)
    Electronic Measurements (1017-431)
    Experimental Optics (1017-511)
    Optical Physics II (1017-555)

Imaging Science

    Environmental Applications of Remote Sensing (1051-420)
    Multi-wavelength Astronomical Imaging (1051-446)
    Digital Image Processing III (1051-463)
    Design & Fabrication of a CCD Camera (1051-528)
    Physics & Engineering of Medical Imaging (1051-XXX)
    Ultrasound (1051-XXX)
    MRI (1051-XXX)

Computer Science

    Artificial Intelligence (4003-455)
    Biologically Inspired Intelligent Systems (4003-553)
    Introduction to Computer Vision (4003-457)
    Advanced Computer Vision (4003-558)
    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

Interactions Between Light & Matter

    Introduction to Semiconductor Device Physics (1017-300)
    Semiconductor Devices I (0305-460)
    Semiconductor Devices II (0305-560)

Linear Mathematics for Imaging

    Linear Algebra I (1016-331)
    Complex Variables (1016-420)
    Linear Algebra II (1016-432)

Vision & Psychophysics

    Cognitive Psychology (0514-443)
    Psychology of Perception (0514-445)
    Introduction to Computer Vision (4003-457)

Digital Image Processing I & II

    Digital Image Processing III (1051-463)
    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

    Electronic Measurements (1017-431)

Color Science

    Matrix Algebra (1016-331)
    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

Imaging Systems Analysis - MTF & Spatial Artifacts

    Vibrations and Waves (1017-318)
    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

Physical Optics

Detectors

 

Are there new elective courses that will be offered next year?

The faculty of the Chester F. Carlson Center Imaging Science are always looking to improve the quality and breadth of classes that are available to our students.  These new classes often appear as "Special Topics" prior to becoming a permeanent offering.  The following classes are proposed for the coming academic year.

 

 

Last Modified: 6:16am 14 May 09