Graduate Certificate in Advanced Computational Imaging
Modern medical imaging systems are complex, high-technology devices. Engineers designing and developing medical imaging systems must have knowledge and understanding around concepts not traditionally available in bachelor’s degree programs in engineering or computing. Such concepts include:
- Mathematical foundations of tomography (images constructed from a series of “slices”),
- Image artifacts that distort the images and how to correct them, and
- Hardware and software for the embedded computing systems that are used to implement image construction and correction.
This program fills a need to prepare engineers with the knowledge, understanding and abilities essential for a successful career in modern medical imaging systems.
Who should get a Certificate in Advanced Computational Imaging?
Professionals seeking to advance their career or enter the medical imaging field.
A minimum of 15 credits of which at least 12 credits must be taken at UWM.
- One course that surveys medical imaging. This may be any of these four courses:
- ElecEng 437: Introduction to Biomedical Imaging, 3cr Physics 782: Physics of Medical Imaging, 3cr
- CompSci 657: Topics in Computer Science:
- GE Healthcare Advanced Course on Medical Imaging (Edison A), 3cr (see note below)
- ElecEng 490: Special Topics: GE Healthcare Advanced Course on Medical Imaging (Edison A), 3cr (see note below)
- Two courses on tomography foundations and algorithms:
- ElecEng 716: Tomography: Imaging and Image Reconstruction, 3cr
- ElecEng 717: Tomography: Image Quality and Artifact Correction, 3cr
- Two courses on computer engineering concepts used in building medical imaging systems
- ElecEng/CompSci 545: FPGA Embedded CPUs & Firmware Development, 3cr
- CompSci 729: Real-Time Operating Systems, 3cr
Students who have taken ElecEng 437 or ElecEng/CompSci 545 or their equivalents as an undergraduate may substitute a relevant graduate course with the approval of the Certificate program. The program maintains a list of suggested substitute courses. The current list is:
- ElecEng/CompSci 711: Pattern Recognition – Statistical, Neural, and Fuzzy Approaches, 3cr
- ElecEng/CompSci 712: Image Processing, 3cr
- ElecEng/CompSci 713: Computer Vision, 3cr
- CompSci 718: Advanced Computer Graphics: Modeling and Animation, 3cr
- CompSci 758: Advanced Computer Architecture, 3cr
- CompSci 762: Fault-Tolerant Computing, 3cr
Up to 3 credits can be transferred from graduate-level course work relevant to computational imaging taken at other institutions. These credits must meet standard transfer credit policy to qualify.
Time Frame for Completion
A graduate certificate can be earned in as little as three semesters. The program must be completed within three years.
|Planned Course Offerings,
Fall 2013-Fall 2017
Admission requirements and procedures
Students must have:
- A baccalaureate degree.
- A minimum 2.75 cumulative undergraduate grade point average.
- A completed UW System online admission application. Select “Graduate courses for personal/professional enrichment” as your reason for applying.
Continuation and exit requirements
- Minimum cumulative 3.0 grade point average.