EN: BME T, TU View SectionsĮ81 CSE 566S High Performance Computer Systems Prerequisites: CSE 452A, CSE 554A, or CSE 559A.Ĭredit 3 units. Topics may include: cameras and image formation, human visual perception, image processing (filtering, pyramids), image blending and compositing, image retargeting, texture synthesis and transfer, image completion/inpainting, super-resolution, deblurring, denoising, image-based lighting and rendering, high dynamic range, depth and defocus, flash/no flash photography, coded aperture photography, single/multiview reconstruction, photo quality assessment, non photorealistic rendering, modeling and synthesis using internet data, and others. In this course we study many interesting, recent image-based algorithms and implement them to the degree that is possible. Its goal is to overcome the limitations of traditional photography using computational techniques to enhance the way we capture, manipulate and interact with visual media. Recent graduates have accepted research and teaching faculty positions as well as research and engineering positions in leading technology companies.Ĭomputational Photography describes the convergence of computer graphics, computer vision, and the internet with photography. Our research groups have extensive interdisciplinary ties across the university, with collaborations in medicine, science, the humanities and social work.
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Computer engineering focuses on the interaction of software and hardware in the design of computing systems and networks. Computer science research encompasses the fundamentals of software and algorithm design, machine learning and bioinformatics, visual and cyber-physical computing, and human-computer interaction. The Department of Computer Science & Engineering offers PhD programs in Computer Science and in Computer Engineering.
Background requirements are listed within each degree program, along with options for meeting them. A major or minor in computer science or computer engineering is helpful, but it is not required. Applicants to our master's programs are expected to have completed an undergraduate degree.
Graduates of our program are also prepared to enter the industry, with many accepting positions at companies like Boeing, Google and Microsoft. Master's research is a great way for our students to easily transition into future doctoral studies. Obtaining a master's degree from the Department of Computer Science & Engineering can be done as a pure course option (MS in Computer Science and MS in Computer Engineering degrees only), or it can incorporate a specialized research experience. We accept both full-time and part-time students, offering class schedules that are flexible enough for part-time students but that provide enough classes for students to attend full-time. The Department of Computer Science & Engineering offers four master's degrees: Master of Science in Computer Science, Master of Science in Computer Engineering, Master of Science in Cybersecurity Engineering, and Master of Engineering in Computer Science and Engineering. Alumni and students continually remind us that pursuing a degree in the Department of Computer Science & Engineering is an experience rarely matched elsewhere.
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It opens our minds to new horizons, unlocks doors to a broad range of career paths, accelerates professional advancement, and exposes us to ideas that are advancing the frontiers of science and technology beyond the field of computing. Computer science and engineering education plays an irreplaceable role in this trend by preparing future technology leaders and innovators. This revolution continues to redefine our way of life, our culture and our economy. During the past two decades, society has experienced unprecedented growth in digital technology.