近些年，隨著高端科技技術的不斷發(fā)展，機器人已經(jīng)在眾多領域得到了廣泛的應用，尤其是工業(yè)機器人已經(jīng)步入了生產(chǎn)行列，大大提高了工業(yè)產(chǎn)業(yè)的進度，這也意味著對于機器人的開發(fā)者的需求量持續(xù)上漲，為了順應時代的需求，美國東北大學就開設了機器人碩士專業(yè)，下面，就隨小編來看看吧，希望對大家有所幫助：

　　Master of Science in Robotics

　　東北大學的機器人學碩士學位項目從機械工程、電子工程和計算機科學三個相連的角度來看待這個基本的跨學科領域。通過具有技術挑戰(zhàn)性的課程、實踐學習和行業(yè)合作實習，機器人專業(yè)碩士學生將全面了解算法、傳感器、控制系統(tǒng)和機器人中使用的機制，幫助您在該領域脫穎而出，并對社會產(chǎn)生變革性影響。

　　課程設置：

　　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

　　申請材料：

　　1.申請費用。$75美元

　　2. 兩封推薦信。

　　3.成績單

　　創(chuàng)建PDF格式的成績單掃描版本(最大500kb大小)

　　4.目的聲明：

　　5.簡歷

　　語言要求：

　　TOEFL: 79 overall (internet-based)

　　IELTS: 6.5. overall

　　Duolingo: 105

　　綜上所述，以上講的就是關于美國東北大學機器人碩士專業(yè)的相關問題介紹，希望能給各位赴美留學的學子們指點迷津。近年來，赴美留學一直是廣大學生最熱門的話題，同時，很多學生對于簽證的辦理、院校的選擇、就業(yè)的前景、學習的費用等諸多問題困擾不斷，別擔心，IDP留學專家可以為你排憂解難，同時，更多關于赴美留學的相關資訊在等著你，絕對讓你“瀏覽”忘返。在此，衷心祝愿各位學子們能夠順利奔赴自己心目中理想的學校并且學業(yè)有成!