国际学生入学条件
Transcripts: Must be uploaded to application. If admitted, official transcripts are required. All transcripts should be converted to the American 4.0 grade point average (GPA) Scale, if possible.
Letters of Recommendation: 2 letters of recommendation are required. If you are currently in school, letters from academic advisors and other professors are preferred. If you are currently in industry, letters from employers are acceptable. Recommendation letters can be submitted through the on-line application tool.
Test scores: official test scores sent from ETS. TOEFL or IELTS scores (required for all international students) expire after 2 years and expired scores WILL NOT be accepted. GRE test scores (required for all students) expire after 5 years.
Essay: a brief statement of career and research objectives. Essays should clearly articulate your experience and goals. Half a page to two pages is sufficient.
Supplemental Information: applicants should also include a resume or CV, current research or creative work, list of published works, and extracurricular activities.
GPA
3.0/4.0 required for PhD
2.75/4.0 required for MS
Minimum Test Requirements
GRE General Test (School code: 2365, Dept code: 1203)
75th percentile or better on Quantitative
iBT TOEFL (School code: 2365, Dept code: 66)
79 composite score
20 Writing, 20 Speaking, 20 Reading, 15 Listening
IELTS
6.5 Overall Minimum Band Score
6.0 Writing, 6.5 Speaking, 6.5 Reading, 6.0 Listening
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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:79
- 托福笔试总分:550
- 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
Communication focuses on the transmission or dissemination of information across a channel such as a coax cable, optical fiber or free space, and signal processing is the enabling technology for the generation, transformation, and interpretation of information. As wireless communication networks and handheld devices today increasingly dominate information dissemination and exchange in almost every walk of life, research in communication protocols for next generation networks and the design and implementation of novel signal processing algorithms are of imminent importance.<br>The faculty in the communication and signal processing group are engaged in cutting edge research in the areas of distributed and adaptive signal processing (with applications in networked sensing, MIMO radar and image fusion), wireless communication systems (with current emphasis on multitier wireless networks and cognitive radio), error control coding (code design and VLSI implementation) and information security and privacy in networks. In addition, the faculty in the Communication and Signal Processing group are continually engaged in collaborative interdisciplinary efforts with faculty in the Computer Science and Industrial Engineering departments with current emphasis on the advancement of communication and information processing infrastructure in smart energy distribution networks.
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