Doctor of Philosophy in Electrical Engineering - Control and Autonomy

学历文凭
Ph.D.

专业院系
电机工程

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
Control, Robotics, and Automation is a vibrant research area in ECSE. Faculty and researchers in this area are conducting multi-disciplinary cutting-edge research focusing on high impact applications and fundamental methodologies.<br><br>Applications: ECSE research in this area is motivated by compelling needs, including human-robot systems, advanced manufacturing, cyber-physical systems, autonomous systems, power systems, thermal management, biological systems, human health, micro-robotics, materials processing.<br><br>Methodologies: Research in this area is grounded in fundamental methodologies in complex large-scale systems, network science, formal methods, computer vision, cognitive engineering, machine learning, artificial intelligence (AI).
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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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