Computational and Mathematical Engineering - Imaging Sciences Track, M.Sc.
Master
In Stanford (USA)
Description
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Type
Master
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Location
Stanford (USA)
Designed for students interested in the skills and knowledge required to develop efficient and robust computational tools for imaging sciences, the Imaging Sciences track curriculum is based on four fundamental areas: mathematical models and analysis for imaging sciences and inverse problems; tools and techniques from modern imaging sciences from medicine, biology, physics/chemistry, and earth science; algorithms in numerical methods and scientific computing; and high performance computing skills and architecture oriented towards imaging sciences. This program serves both as a terminal degree for students who are interested in a professional career in computational imaging sciences and also as a preparation for a higher level degree in imaging research.
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About this course
English Language Requirements This programme may require students to demonstrate proficiency in English. Schedule a TOEFL® test Schedule an IELTS test
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Subjects
- Computational
- Engineering
- Imaging
- Image
- Computing
Course programme
Courses included:
- Advanced Imaging Lab in Biophysics
- Introduction to Imaging and Image-based Human Anatomy
- Stochastic Inverse Modeling and Data Assimilation Methods
- Modern Optics
- Two-Dimensional Imaging
- Imaging Radar and Applications
- Digital Image Processing
- Medical Imaging Systems I
- Medical Imaging Systems II
- Medical Image Reconstruction
- Basic Earth Imaging
- Environmental Soundings Image Estimation
- 3-D Seismic Imaging
Computational and Mathematical Engineering - Imaging Sciences Track, M.Sc.