Doctor of Philosophy in Electrical Engineering - Information Science and Systems

学历文凭
Ph.D.

专业院系
情报学

开学时间

课程时长

课程学费

国际学生入学条件
For admission to graduate study, an applicant must have a U.S. bachelor's degree or the equivalent of a U.S. bachelor's degree prior to enrollment.
Transcripts and Degrees must be in English (all post-secondary education, including transcript keys).
Unofficial transcripts should be uploaded to your graduate application. The minimum requirement for admission consideration is the completion and award of a four year U.S. bachelor's degree, or its equivalent, by the time of planned enrollment.
Personal Statement
Resume or curriculum vitae
Two letters of recommendation
Portfolio, if required by department
TOEFL score of 88 iBT
IELTS score of 6.5
Transcripts and Degrees must be in English (all post-secondary education, including transcript keys).
Unofficial transcripts should be uploaded to your graduate application. The minimum requirement for admission consideration is the completion and award of a four year U.S. bachelor's degree, or its equivalent, by the time of planned enrollment.
Personal Statement
Resume or curriculum vitae
Two letters of recommendation
Portfolio, if required by department
TOEFL score of 88 iBT
IELTS score of 6.5
IDP—雅思考试联合主办方

雅思考试总分
6.5
了解更多
- 雅思总分:6.5
- 托福网考总分:88
- 托福笔试总分:160
- 其他语言考试:Duolingo score of 120<br>PTE score of 59
CRICOS代码:
申请截止日期:请 与IDP联系 以获取详细信息。
课程简介
The next industrial revolution will largely be driven by Intelligent Technologies (ITs). It will mark with the ubiquitous presence and applications of intelligent algorithms and systems, such as autonomous machines and smart devices. ECSE faculty has a long tradition in developing intelligent technologies. The AI and Machine Learning Systems (AI/ML Systems) group performs fundamental research in AI and machine learning as well as their applications to various physical systems.<br><br>For fundamental research, faculty in the AI/ML Systems group focuses on theoretical developments in computer vision, pattern recognition, probabilistic graphical models, computer graphics, information theory, compressive sensing, robotic control, paralleling processing, and smart chip design. <br><br>For applications, the group applies AI/ML technologies to various physical systems, including robotics, cyber-physical systems, cybersecurity, Internet of things, electric power systems, lighting systems, and sensor network.
相关申请

预科

奖学金

实习机会

在校学习

跨境学习

校园授课-线上开始

在线/远程学习
学校排名
世界排名
351
数据源:泰晤士高等教育世界大学排名
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