t*******3
发帖数: 734 | 1 如题。
看到计算机系硕士博士都有两类专业。
computing degree 和cs degree。 他们有何区别？哪个更好呢？
盼望计算机系的同学谈谈。 非常感谢。 | w***g
发帖数: 5958 | 2 既然你问到CS版上来了，那就是CS呗。你说CS大家都知道是什么，你说computing
degree, 10个里面怕是有9个不知道。
【在 t*******3 的大作中提到】
: 如题。
: 看到计算机系硕士博士都有两类专业。
: computing degree 和cs degree。 他们有何区别？哪个更好呢？
: 盼望计算机系的同学谈谈。 非常感谢。
| d*****u
发帖数: 17243 | 3 你列一下degree requirement吧
【在 t*******3 的大作中提到】
: 如题。
: 看到计算机系硕士博士都有两类专业。
: computing degree 和cs degree。 他们有何区别？哪个更好呢？
: 盼望计算机系的同学谈谈。 非常感谢。
| t*******3
发帖数: 734 | 4 以下是computing degree的内容. 这跟 cs degree有什么区别呢?
General information about the computing degree here.
Tracks within the Computing Degree
MS in Computing: Information Technology
NOTE: this track has reached its capacity, we will not be accepting any more
students in this track for Fall 2011
The goal of the M.S. Computing Degree in Information Technology (MSIT) is to
train this new generation of technologists. It offers a mix of technology
and management courses to provide students with a solid background in both
areas. This unique combination of skills is currently in high demand in the
IT industry. This is a collaborative degree with the David Eccles School of
Business
MS and PhD in Computing: Robotics
The Robotics Track is a program of study that may be taken either in the
School of Computing or the Department of Mechanical Engineering. The field
of robotics has expanded tremendously since its early focus on industrial
robots, and now includes very diverse topics such as autonomous vehicles,
medical robots, smart sensor networks, micro robots, robot vacuum cleaners,
sentry robots, and pet robots.
PhD in Computing: Scientific Computing
The Scientific Computing track trains students to perform cutting edge
research in all of the aspects of the scientific computing pipeline:
mathematical and geometric modeling; advanced methods in simulation such as
high-performance computing and parallelization; numerical algorithm
development; scientific visualization; and evaluation with respect to basic
science and engineering.
MS and PhD in Computing: Graphics and Visualization
The graphics track includes research efforts in most areas of computer
graphics, including geometric modeling, CAD/CAM, scientific visualization,
biomedical visualization, computer vision, terrain modeling and rendering,
haptics (force-feedback), realistic rendering, digital geometry processing,
point-based graphics, immersive environments, and non-photorealistic
rendering.
MS and PhD in Computing: Image Analysis
The School of Computing has image analysis research efforts in a wide
variety of areas with a strong focus on biological and medical research but
also significant efforts in other rapidly expanding areas such as
geosciences. Most of these projects are multi-disciplinary and/or nationwide
activities that provide unique opportunities for students to get a broader
insight into research and engineering concepts and into the challenges and
rewards of collaborative research.
MS in Computing: Entertainment Arts and Engineering : Master Games Studio
The Entertainment Arts and Engineering Master Studio (EAE:MGS) is an
executive graduate program in video game development, art, and production.
The program is designed to provide master's level students with an education
to be successful in the game industry, both immediately and into the future
as the industry continues to evolve. The academic experience includes an
intense focus on industry application that incorporates both theory and
research.
MS and PhD in Computing: Computer Engineering
Computer Engineering is a discipline that combines elements of both
Electrical Engineering and Computer Science. Computer engineers design and
study computer systems at many levels from the circuits that make up
computers, to the architecture of processors and subsystems, to the
programming interfaces of those processors.
MS and PhD in Computing: Data Management and Analysis
The rate at which scientists and businesses are producing data is increasing
at a unstoppable rate. Being able to efficient process and make sense of
such data has become a key scientific challenge in computer science. Not
only must one be able to store such information compactly, but one
additionally must develop algorithms to process it efficiently and
intelligent systems that can reason about this data to find interesting
patterns or make decisions. These topics form the core of the Data
Management and Analysis track. |
|
