国际学生入学条件
A Bachelor of Science (B.S.) degree from an accredited institution or its equivalent in any areas of engineering or in the related areas of Mathematics, Physics, Chemistry, Material Sciences and Computer Sciences. The degree must represent the completion of a program equivalent both in the distribution of academic subject matter and scholarship achievement comparable to that offered at the University of California.
A minimum of a 3.0 undergraduate GPA or B-equivalent (if GPA is not on a 4.0 scale). We recommend that you check with the graduate program as they may have a higher standard for their GPA requirements. If your GPA is below this, follow up with the graduate program you are interested. Applications are reviewed in their entirety and the program can look at your other components and advise you on potential admission.
All applications are initially reviewed by the graduate program before a recommendation is submitted to the Graduate Division for final approval.
We require transcripts with final grades or most recent grades (if degree is in progress) from all college-level institutions you have attended. We also require proof of any degree awarded to you. Confirmation of your degree can be a degree posting on a transcript or a copy of your degree certificate. If you have attended an institution located outside of the US.
IELTS - minimum acceptable overall score is 7 with no score less than 6 on any individual component. TOEFL - minimum acceptable scores are: 550 for the revised TOEFL paper-delivered test and 80 for the TOEFL iBT.
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IDP—雅思考试联合主办方

雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:80
- 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
Intelligent systems, as the name implies, is an area of research that deals with systems and machines with intelligence. These systems come in many different forms, examples range from autonomous cars and drones to speech and facial recognition programs to recommendation systems for online shopping.<br><br>An intelligent system is essentially a computer-based system that can gather, interpret, and reason about data. Instead of following a set of fixed rules, the system can learn hidden structure in the data, extract useful patterns, and learn strategies and actions that maximize some reward. In other words, the system has artificial intelligence that it gains after training on lots of data, using a variety of computational models.<br>The ECE Department at UCR features a number of faculty that conducts cutting-edge research in intelligent systems. We develop algorithms and systems for processing and understanding massive amounts of static and dynamic data. We develop computer vision and machine learning algorithms to make sense of the captured data and understand the world. We develop intelligent and autonomous transportation systems that can reliably communicate with each other and navigate dynamic environments.
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