Master of Science in Electrical Engineering- Control, Robotics, and Mechatronics (Computational Intelligence)
国际学生入学条件
Applicants must have a Bachelor's degree from an accredited college or university in Electrical Engineering, Computer Engineering or a closely related field. The ECE Department prefers that applicants have an undergraduate GPA of 3.25 or higher. The Graduate School requires applicants to have a GPA of 3.0 or higher. Applicants must upload one transcript from each college and university they have attended. Each transcript must include all courses completed and the degrees and dates awarded, if applicable. Applicants who have attended North Carolina State University are not required to provide an NC State transcript. This statement should be about the applicant's academic career, research experience and career goals. Upload the statement in the Personal Statement/Statement of Purpose section of the online application. Three letters of recommendation are required. GRE General Exam Scores , IELTS Test Section 6.5 points Listening 6.5 points, Reading 6.5 points, Writing 6.5 points, Speaking 7.0 points , ECE Department Required Minimum Scores Internet-based Test (IBT) Listening 18 points, Reading 18 points, Writing 18 points, Speaking 19 points , Total 90 points for admission
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雅思考试总分
6.5
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- 雅思总分:6.5
- 托福网考总分:90
- 托福笔试总分:160
- 其他语言考试:NA
课程简介
Computational intelligence (CI) focuses on the theory, design, application, and development of biologically and linguistically motivated computational paradigms combining elements of learning, adaptation, evolution and fuzzy logic.<br><br>Computational intelligence originally developed as a branch of artificial intelligence but now it has a large enough extent to be recognized as a separate domain of research. In general, typical artificial intelligence techniques are top-to-bottom where, i.e., the structure of models, solutions, etc. is imposed from above. Computational intelligence techniques are generally bottom-up, where order and structure emerges from an unstructured beginning.<br><br>The areas covered by the term computational intelligence include: neural networks, connectionist systems, genetic algorithms, evolutionary programming, fuzzy systems, swarm intelligence, artificial immune systems and hybrid intelligent systems in which these paradigms are contained.
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