国际学生入学条件
Admission into the ECE graduate programs is very competitive. Applicants applying to the master of science program, who have earned or will earn a bachelor's degree, are encouraged to have a 3.3/4.0 or higher GPA on their most recent 60 course credit hours. The master of engineering GPA requirement for admission is a hard minimum 3.0 GPA on the most recent 60 course credit hours. Direct-Ph.D. and Ph.D. applicants typically have a grade point average that exceeds 3.5/4.0 in their previous degrees.
The complete application includes
Virginia Tech Graduate School on-line application form, nonrefundable application fee $75.00.
An up-to-date, electronic copy of all official transcript(s) must be submitted with your on-line application. Please do not mail your official transcript(s) to the Graduate School until you have received an offer of admission from Virginia Tech. (Note that the ECE department does not require an official copy of your transcript(s).
Three (3) letters of recommendation.
Graduate Record Examination (GRE).
This is not required for Virginia Tech undergraduate students earning a B.S. degree in ECE at Virginia Tech with a GPA of 3.5 or higher in their last 60 hours.
TOEFL or IELTS exam for applicants earning undergraduate or graduate degrees from non-English institutions.
A Resume and a Statement of Purpose submitted with the on-line application.
For admission in Fall 2019, we expect a minimum TOEFL score of 90 (IBT) or IELTS score of 6.5 for admission. Further, TOEFL scores of 20 or greater in Listening, Writing, Speaking, and Reading subsections are required. Some departments may require higher minimum scores.
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IDP—雅思考试联合主办方

雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:90
- 托福笔试总分:160
- 其他语言考试:NA
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
我们总是对计算机系统提出更多要求。他们需要更快,更适应和更高效。ECE研究人员正在使用新方法来满足这些需求,包括让计算机实现梦想。聪明的生物必须睡觉和做梦,似乎违背了所有生存本能。做梦对于有效的心理过程是必要的。人脑使用的并行性水平远远超过使用传统形式的计算机并行性所能达到的水平。ECE研究人员展示了如何将梦dream以求的计算阶段用于开发并行上下文,或者将其简化为适合特定使用场景的简化算法过程,然后将其选择用于实时(清醒)使用。我们这项研究的目标是证明一种新颖的可扩展性形式以及在不断增加的算法复杂度上保
We always demand more from our computer systems. They need to be faster, more adaptable, and more efficient. ECE researchers are using new methods to meet these demands- including letting computers dream. Intelligent beings must sleep and dream, seemingly against all survival instincts. Dreaming is necessary for efficient mental processes. The human brain uses levels of parallelism well beyond what is achievable using conventional forms of computer parallelism. ECE researchers have demonstrated how a dream-inspired phase of computation can be used to develop parallel contexts, or greatly simplified algorithmic processes tuned to specific usage scenarios, which are then selected for real-time (awake) use. Our goal of this research is to demonstrate how a novel form of scalability, and constant performance over increasing algorithmic complexity, mimics the way the brain is utilized in real-time, and enables the utilization of virtually limitless levels of parallelism.
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