国际学生入学条件
Your Personal Statement should address your academic and research interests, and future career goals as they relate to the graduate program to which you are applying. The statement should include relevant academic/research, professional, and personal experiences that influenced your decision to apply to the graduate program.
Your resume should include details about your education, employment, and internship history, as well as any pertinent research experience. International students in the U.S. on OPT or CPT should include details about their current activities.
You will be required to enter two recommenders on the online application. Recommendations should be from your academic advisor(s), professors, research mentors, etc., who can provide an assessment of your likelihood of success at the graduate level in your field of study.
Transcripts and Degrees must be in English (all post-secondary education, including transcript keys).
Unofficial transcripts should be uploaded to your graduate application.
TOEFL score of 88 iBT
IELTS score of 6.5
Duolingo score of 110
PTE score of 59
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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:88
- 托福笔试总分:160
- 其他语言考试:Duolingo score of 110<br>PTE score of 59
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
With focuses on the methodologies and applications in control, robotics, and automation the ECSE faculty in this area conduct cutting-edge research with emphasis on high impact applications. The methodological tools used in this research area include complex large-scale systems, network science, formal methods, machine learning, vision and perception, and cognitive engineering. The domain of applications includes human-robot systems, advanced manufacturing, cyber-physical systems, autonomous systems, power systems, thermal management, biological systems, human health, micro-robotics, and materials processing.<br><br>Current research projects in this area address both control theory and a variety of applications. Faculty interests include advanced control algorithms development in the areas of nonlinear control, formal methods in control, multivariable control, robust control, distributed control, and optimal control. These algorithms are applied to robotics, automation systems, autonomous systems, power generation and transmission systems, power electronics, networked systems, micro and nano-systems, and biomedical and biological systems.
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