智能系统工程理学硕士-神经工程

Master of Science in Intelligent Systems Engineering - Neuroengineering

印第安纳大学伯明顿分校

Indiana University Bloomington

美国

学历文凭
Masters Degree
专业院系
Department of Intelligent Systems Engineering
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国际学生入学条件

Undergraduate degree required. A Graduate Record Examination (GRE) taken within the past five years is required of all applicants. Submit general examination scores only to institution code 1324 and department code 1699. Test of English as a Foreign Language (TOEFL) is required for all non-native English speaking applicants. Scores must be less than two years old by the date of enrollment. Scores of 100 or higher on the Internet-based test (iBT), 250 on the computer-based test or 600 or higher on the paper-based test are recommended, but there are no formal minimum requirements. Statement of Purpose - Submit essay length of approximately 500 words. Official academic records (transcripts and degree certifications) - Please have the registrar or record-keeping official from each institution at which the work was completed send us your official transcripts and degree certifications. Three letters of recommendation.

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IDP—雅思考试联合主办方
雅思考试总分
6.0
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雅思考试指南

雅思总分：6
托福网考总分：100
托福笔试总分：600
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

神经工程师站在活的神经组织和非生物构造物的界面的最前沿，创造出测量，修复或复制大脑功能的技术。使用工程技术，学生可以专注于理解和编码神经过程以在大脑和身体中分配信息。从分子，神经元群体到整个生物体行为的各种分析规模的大脑研究是神经工程学的重点。该领域的进步将为受损的神经系统创建新的物理替换零件，读取大脑功能的新设备以及完成人类专家现在执行的任务的智能机器。建立将神经系统耦合到物理系统的微型设备（例如用于检测即将发作的设备）可以导致新的认知发展以及存储系统的基础计算。神经工程是技术与大脑相遇的地方。
In our Master of Science in Intelligent Systems Engineering (ISE) program, you will get technical expertise in computational engineering and artificial intelligencethe future of engineering and problem solving. This two-year program teaches you to use modern approaches and design principles to develop systems or devices that gather, interpret, and use data. You can work in the microscopic sensors that make our devices, homes, and vehicles 'smart. Go into advanced health diagnostics and tissue engineering. Master the massive systems that analyze the flood of data around us and drive decision making. Neuroengineering studies, enhances, monitors, heals, and replicates the nervous system. Neuroengineers have the unique opportunity to link theories of the mind to applications that can build intelligent machines and software. Advances in this field will bring about repairs for damaged nervous systems, new devices to read brain function, and smart machines to accomplish tasks. Microscale devices that couple nervous systems with physical systems also can lead to new cognitive development as well as computations that form the basis of memory systems.

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