Professional Career Development

In 1996, Stanford University designed the Image Systems Engineering Program (ISEP) to support multidisciplinary training, research and collaboration on imaging technologies. A central tenet of the program is that the end-to-end design of an imaging system requires training and collaboration across many different disciplines, including optics, sensors, image processing, and human vision.

The Stanford Center for Image Systems Engineering (aka SCIEN) was created in 2004 in order to support collaborations with companies developing imaging systems.

SCIEN recently partnered with the Stanford Center for Professional Development to provide online access to courses in the Image Systems Engineering Program, including computational optics, computer graphics, digital signal processing, computer vision, machine learning and human perception. For more information about the Graduate Certificate Program in Visual Computing, click here.

The graduate program in image systems engineering continues to adapt to changes in technology, but remains committed to the central tenet that the end-to-end design of an imaging system requires expertise in multiple disciplines.