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
Research in this area covers a range of technologies and applications and overlaps those in several research areas described below. 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 research activities expand into fundamental advances in AI and machine learning, theory of learning, novel AI algorithms and architectures, and software engineering principles for AI systems (including topics in scalability, robustness, fairness, and verification). In addition to fundamental AI, applied research activities extend to, but are not limited to, applications of AI and ML in computer vision, image processing, cybersecurity, cyber-physical systems, Internet of Things (IoT) and edge-computing, autonomous systems, etc.
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