工业机器人广泛应用 美国东北大学的机器人硕士专业前景可期!

　　近些年，随着高端科技技术的不断发展，机器人已经在众多领域得到了广泛的应用，尤其是工业机器人已经步入了生产行列，大大提高了工业产业的进度，这也意味着对于机器人的开发者的需求量持续上涨，为了顺应时代的需求，美国东北大学就开设了机器人硕士专业，下面，就随小编来看看吧，希望对大家有所帮助：

　　Master of Science in Robotics

　　东北大学的机器人学硕士学位项目从机械工程、电子工程和计算机科学三个相连的角度来看待这个基本的跨学科领域。通过具有技术挑战性的课程、实践学习和行业合作实习，机器人专业硕士学生将全面了解算法、传感器、控制系统和机器人中使用的机制，帮助您在该领域脱颖而出，并对社会产生变革性影响。

　　课程设置：

　　Core Requirements

　　Mechanical Engineering

　　Complete one of the following:

　　ME 5250 Robot Mechanics and Control

　　ME 5659 Control Systems Engineering

　　Electrical and Computer Engineering

　　Complete one of the following:

　　EECE 5552 Assistive Robotics

　　EECE 5554 Robotics Sensing and Navigation

　　Computer Science

　　Complete one of the following:

　　CS 5180 Reinforcement Learning and Sequential Decision Making

　　CS 5335 Robotic Science and Systems

　　Concentrations

　　Complete one of the following concentrations:

　　Mechanical Engineering

　　Electrical and Computer Engineering

　　Computer Science

　　Mechanical Engineering

　　Required Course

　　Complete additional ME course not used to fulfill the core requirements:

　　ME 5250 Robot Mechanics and Control

　　ME 5659 Control Systems Engineering

　　Complete one of the following options:

　　Course Work Option

　　Complete 16SH of courses from the elective course list.

　　Project Option

　　ME 7945 Master’s Project

　　Complete 12SH of courses from the elective course list.

　　Thesis Option

　　ME 7990 Thesis

　　Complete 8SH of courses from the elective course list.

　　Electrical and Computer Engineering

　　Required Course

　　Complete additional EECE course not used to fulfill the core requirements:

　　EECE 5552 Assistive Robotics

　　EECE 5554 Robotics Sensing and Navigation

　　Complete one of the following options:

　　Course Work Option

　　Complete 16SH of courses from the elective course list.

　　Project Option

　　EECE 7674 Master’s Project

　　Complete 12SH of courses from the elective course list.

　　Thesis Option

　　EECE 7990 Thesis

　　Complete 8SH of courses from the elective course list.

　　Computer Science

　　Required Course

　　Complete additional CS course not used to fulfill the core requirements:

　　CS 5180 Reinforcement Learning and Sequential Decision Making

　　CS 5335 Robotic Science and Systems

　　Complete one of the following options:

　　Course Work Option

　　Complete 16SH of courses from the elective course list.

　　Project Option

　　CS 8674 Master’s Project

　　Complete 12SH of courses from the elective course list.

　　Thesis Option

　　CS 7990 Thesis (complete twice for a total of 8 credits)

　　Complete 8SH of courses from the elective course list.

　　Elective Course List

　　Mechanical Engineering Course List

　　IE 7280 Statistical Methods in Engineering

　　IE 7315 Human Factors Engineering

　　IE 7615 Neural Networks and Deep Learning

　　ME 5240 Computer Aided Design and Manufacturing

　　ME 5245 Mechatronic Systems

　　ME 5250 Robot Mechanics and Control

　　ME 5655 Dynamics and Mechanical Vibration

　　ME 5659 Control Systems Engineering

　　ME 5665 Musculoskeletal Biomechanics

　　ME 6200 Mathematical Methods for Mechanical Engineers 1

　　ME 6201 Mathematical Methods for Mechanical Engineers 2

　　ME 7210 Elasticity and Plasticity

　　ME 7247 Advanced Control Engineering

　　Electrical and Computer Engineering Course List

　　EECE 5550 Mobile Robotics

　　EECE 5552 Assistive Robotics

　　EECE 5554 Robotics Sensing and Navigation

　　EECE 5580 Classical Control Systems

　　EECE 5639 Computer Vision

　　EECE 5642 Data Visualization

　　EECE 5644 Introduction to Machine Learning and Pattern Recognition

　　EECE 7150 Autonomous Field Robotics

　　EECE 7323 Numerical Optimization Methods

　　EECE 7337 Information Theory

　　EECE 7370 Advanced Computer Vision

　　EECE 7397 Advanced Machine Learning

　　Computer Science Course List

　　CS 5006 Algorithms

　　CS 5100 Foundations of Artificial Intelligence

　　CS 5330 Pattern Recognition and Computer Vision

　　CS 5340 Computer/Human Interaction

　　CS 6120 Natural Language Processing

　　CS 6140 Machine Learning

　　CS 6350 Empirical Research Methods

　　CS 7140 Advanced Machine Learning

　　CS 7150 Deep Learning

　　CS 7180 Special Topics in Artificial Intelligence

　　DS 5220 Supervised Machine Learning and Learning Theory

　　申请材料：

　　1.申请费用。$75美元

　　2. 两封推荐信。

　　3.成绩单

　　创建PDF格式的成绩单扫描版本(最大500kb大小)

　　4.目的声明：

　　5.简历

　　语言要求：

　　TOEFL: 79 overall (internet-based)

　　IELTS: 6.5. overall

　　Duolingo: 105

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