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伦敦大学学院机器人与计算专业

Robotics and Artificial Intelligence

专业排名

学制

1年

学费

39800.00英镑/年

雅思

7

主页 排名

专业介绍

The MSc Robotics and Computation at UCL provides training from world-leading experts in robotics and autonomous systems (RAS), which are set to shape innovation in the 21st century, underpinning research in a wide range of challenging areas: the ageing population, efficient health care, safer transport, and secure energy. The UCL edge in scientific excellence, industrial collaboration and cross-sector activities make it ideally placed to drive IT robotics and automation education in the UK.

移民相关

移民专业:否

就业前景

可从事的工作:校友们有的受聘于跨国公司,有的继续深造或投身学术界。

如何申请

个人陈述:why you want to study it at graduate level what do you consider to be the major challenges in this field today what particularly attracts you to this programme where you would like to go professionally with your degree why you want to study it at UCL how your personal, academic and professional background meets the demands of a challenging academic environment at UCL

推荐信:2

申请费:90

申请截止日期:44651

测试申请录取成功率

采用最科学的人工智能算法,已为23127位学生申请到dream school,成功率96.33%。
免费测试

入学要求

专业领域:highly 计量类专业,如计算机科学,数学,电子电气或physical科学,+含编程科目


语言要求:

雅思总分:7

雅思听力:6.5

雅思阅读:6.5

雅思阅读:6.5

雅思口语:6.5

雅思写作:6.5

托福总分:96

托福听力:30

托福写作:30

托福口语:22

托福阅读:24

世界排名 数据来源: QS世界排名

QS排名

专业课程

Compulsory modules:必修模块 Robotic Systems Engineering: 机器人系统工程 Robotic Control Theory and Systems: 机器人控制理论与系统 Robotic Sensing Manipulation and Interaction: 机器人传感操纵与交互 Robot Vision and Navigation: 机器人视觉与导航 MSc Robotics and Computation Dissertation: MSc机器人与计算学位论文 Optional modules: 可选模块 Image Processing: 图像处理 Introduction to Machine Learning: 机器学习简介 Inverse Problems in Imaging: 逆成像中的问题 Acquisition and Processing of D Geometry: D几何的获取和处理 Multi agent Artificial Intelligence: 多智能体人工智能 Machine Vision: 机器视觉 Machine Learning for Visual Computing: 视觉计算的机器学习 Sensors and Location: 传感器和位置 Affective Computing and Human Robot Interaction: 情感计算与人类机器人交互 Virtual Environments: 虚拟环境 Computational Modelling for Biomedical Imaging: 生物医学成像的计算建模 Perception and Interfaces: 感知和界面 Auditory Computing: 听觉计算 Bayesian Deep Learning: 贝叶斯深度学习 Accountable Transparent and Responsible Artificial Intelligence: 负责任的透明和负责任的人工智能 Applied Deep Learning: 应用深度学习 Computer Assisted Surgery and Therapy: 计算机辅助手术和治疗

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