
学历文凭
Masters Degree

专业院系
人工智能与机器人

开学时间

课程时长

课程学费

国际学生入学条件
Entrance Exam: The Graduate Record Exam (GRE) is required. Submit GRE results not older than five years. Successful applicants have typically had GRE scores of 150 verbal and 160 quantitative or better.
GRE is waived for applicants with a bachelor of science in computer science or computer engineering from a regionally accredited institution in the United States.
English Language Proficiency: Applicants are required to have a command of oral and written English. Those who do not hold a baccalaureate or other advanced degree from the United States, OR a baccalaureate or other advanced degree from a predetermined country on the waiver list, must meet the minimum language proficiency score requirement in order to be considered for admission.
Paper-based TOEFL: 550, Internet-based TOEFL: 80, IELTS: 6.5, PTE: 53, Duolingo: 105
Resume: Submit a detailed resume indicating your work experience and background.
Letters of Recommendation: Two letters from references who can evaluate your work and/or academic achievements are required.
IDP—雅思考试联合主办方

雅思考试总分
6.5
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- 雅思总分:6.5
- 托福网考总分:80
- 托福笔试总分:550
- 其他语言考试:PTE - 53
课程简介
The concentration in artificial intelligence provides students with an in-depth understanding of the principles and technologies used to embody machines with human-like intelligent capabilities. Students taking this concentration will have an opportunity to learn, as well as perform hands-on experiments in different areas of artificial intelligence such as software agents, multi-agent and multi-robot systems, machine vision and image processing technologies, neural network based adaptive software systems, heuristics and stochastic optimization techniques for critical decision making, machine learning and knowledge engineering techniques for embedding intelligence in computers and information systems.<br>Students completing this program will be able to:<br>Demonstrate the ability to create basic computational artifacts. Demonstrate knowledge of computing systems and their integration.<br>Explain how computing permeates today's society, including security, privacy, and ethical considerations.<br>Apply appropriate pedagogical content knowledge in the teaching of computing topics.<br>Describe relevant and recent research findings in computer science education including how they might be applied in the classroom.
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