留学服务-ECE头图
美国-斯坦福

斯坦福大学
Electrical Engineering


简 介

  • 该专业适合拥有电气工程,物理学、数学或相关科学以及工程学位的学生

  • 该学位开设有以下子领域:电路、软件和硬件系统、通信和网络、物理技术和科学,以及信号处理、控制和优化等

  • 电气工程硕士学位课程以授课为基础,学校配备大量选修课,学生可以根据自己需要,定制适合自己职业发展的课程

项目时长:1.5—2年全日制

项目授课地点:美国 加州 旧金山
申请要求

学术


  • 申请人必须具有学士学位或认可机构的认可同等学历

  • 希望申请人在工程、物理科学或数学方面拥有强大技术背景


TOEFL


总分:89+,低于109分被录取需要入学后读语言课程

GRE


不需要

IELTS

不接受
  • We do not accept TOEFL Essentials scores or any other English proficiency test (e.g., IELTS, PTE).

其他要求




申请流程

第1步:准备好申请文件

  • 推荐信

三封推荐信,强烈建议学术推荐人


  • SOP

In your statement of purpose, you should succinctly describe your reasons for applying to the proposed program, which may include:

  • Preparation for this field of study

  • Motivation for graduate study

  • Why our program is a good fit for you

  • Future career plans

  • Other relevant aspects of your background and interests

  • Interest in specific research or faculty members at Stanford

The statement of purpose should not exceed two pages, single-spaced.

  • Resume

第2步:需要的其他文件

  • 扫描并上传每所就读大学的学校颁发的成绩单
  • 官方学位证书(申请时如未毕业可不提供)
  • 强制提交 GRE 成绩
  • 仅接受托福成绩;We do not accept TOEFL Essentials scores or any other English proficiency test (e.g., IELTS, PTE).
  • 护照复印件
  • 本科和/或研究生学位的记录 

第3步:在线填表申请
4步:递交申请费

GT备考
 
1) Circuits
Course Title
Electrical Engineering in Biology and Medicine
Neuromorphics: Brains in Silicon
Fundamentals of Analog Integrated Circuit Design
Advanced Analog Integrated Circuit Design
Principles and Models of Semiconductor Devices
Analog Communications Design Laboratory
High-Frequency Circuit Design Laboratory
Power Electronics
Advanced Topics in Power Electronics
Green Electronics
Board Level Design (EE 156)
Introduction to VLSI Systems
Design Projects in VLSI Systems I (previously EE 272A)
Design Projects in VLSI Systems II
Digital Systems Engineering
Battery Systems for Transportation and Grid Services
Autonomous Implantable Systems
Advanced Circuit Techniques
Semiconductor Memory Devices and Circuit Design
RF Integrated Circuit Design
Analog-Digital Interface Circuits
Resonant Converters
Magnetics Design in Power Electronics
Advanced VLSI Circuit Design
Design Projects in VLSI Systems II
RF Transceiver Design Laboratory

2) Software and Hardware Systems
Course Title
Artificial Intelligence in Healthcare (same as CS 271)
Artificial Intelligence: Principles and Techniques
Probabilistic Graphical Models: Principles and Techniques
Machine Learning
Deep Learning
Computer Vision: From 3D Reconstruction to Recognition
Convolutional Neural Networks for Visual Recognition
Deep Generative Models
Advanced Topics in Operating Systems
Program Analysis and Optimizations
Advanced Topics in Networking
Database Systems Principles
Mining Massive Data Sets
Computer Graphics: Rendering, Geometry, & Image  Manipulation
Fundamentals of Computer Graphics: Animation &  Simulation
Introduction to Cryptography
Advanced Multi-Core Systems
Project in Mining Massive Data Sets
Human-Computer Interaction Research
Computer Graphics: Geometric Modeling & Processing
Computer Graphics: Image Synthesis Techniques
Visual Computing Systems
Topics in Circuit Complexity
Formal Methods for Computer Systems
Algebraic Graph Algorithms
Theoretical Perspective on Machine Learning
Concepts and Algorithms of Scientific and Visual Computing
Design Projects in VLSI Systems I (previously EE 272A)
Digital Systems Engineering
Computer Systems Architecture
Introduction to Computer Networks
Introduction to Internet of Things
Embedded Systems Workshop
Machine Learning on Embedded Systems
Software Techniques for Emergent Hardware Platforms
Design Projects in VLSI Systems II
Parallel Processors Beyond Multicore Processing
Interconnection Networks

3) Communications and Networking
Course Title
Advanced Topics in Networking
Topics in Computer Networks
Open Problems in Coding Theory
Introduction to Optical Fiber Communications
Data Compression: Theory and Applications
Information Theory (same as STATS 376A)
Introduction to Digital Communication
Introduction to Computer Networks
Introduction to Internet of Things
Advanced Optical Fiber Communications
Wireless System Design
Wireless Communications
Scaling Blockchains
Network Information Theory
Universal Schemes in Information Theory
Wireless Information Theory
Digital Communication
Interconnection Networks
Internet Routing Protocols and Standards
Wireless Local and Wide Area Networks
Networked Wireless Systems
Performance Engineering of Computer Systems & Networks
Error Correcting Codes: Theory and Applications
Modern Coding Theory
Multi-User Data Transmission
Queueing and Scheduling in Processing Networks

4) Physical Technology and Science
Course Title
Lasers Laboratory
Integrated Circuit Fabrication Processes
Principles and Models of Semiconductor Devices
Power Semiconductor Devices and Technology
Applied Quantum Mechanics I
Applied Quantum Mechanics II
Biochips and Medical Imaging
Photonics Laboratory
Analytical Methods in Biotechnology
Analytical Methods in Biotechnology II
Modern Optics
Guided Waves
Lasers
Solar Energy Conversion
Introduction to Fourier Optics
Electromagnetic Waves
Semiconductor Optoelectronic Devices
Introduction to Optical Fiber Communications
Antennas
Introduction to Radar Remote Sensing
Principles of Sensing for Autonomy
Three-Dimensional Imaging (same as GEOPHYS 264)
3D+ Imaging Sensors
Fundamentals of Energy Processes
Autonomous Implantable Systems
Semiconductor Memory Devices and Circuit Design
Emerging Non-Volatile Memory Devices and Circuit Design
Advanced Integrated Circuits Technology
Integrated Circuit Fabrication Laboratory
Advanced VLSI Devices
Special Topics on Wide Bandgap Materials and Devices
Advanced Nanoelectronic Devices
Energy in Electronics
Properties of Semiconductor Materials
The Electronic Structure of Surfaces and Interfaces
Laser Dynamics
Nanophotonics (MATSCI 346)
Optical Micro- and Nano-Cavities
Introduction to Nonlinear Optics
Optical Methods in Engineering Science
Advanced Optical Fiber Communications
Advanced Topics in Nano-Optics and Plasmonics
Energy storage and conversion: Solar Cells, Fuel Cells,  Batteries and Supercapacitors
Introduction to Micro and Nano Electromechanical Systems
Advanced Micro and Nano Fabrication Laboratory
Micro/Nano Systems Design and Fabrication
MEMS Laboratory II
Electronic and Optical Properties of Solids
Magnetic materials in nanotechnology, sensing, and energy
Advanced Ultrasound Imaging

5) Signal Processing, Control and Optimization
Course Title
Introduction to Optimal Control and Dynamic Optimization
Advanced Feedback Control Design
Reinforcement Learning
Decision Making Under Uncertainty (same as AA 228)
Topics in Advanced Robotic Manipulation
Introduction to Radar Remote Sensing
Principles of Sensing for Autonomy
Principles of Robotic Autonomy
Principles of Robot Autonomy II
The Fourier Transform and Its Applications
Three-Dimensional Imaging (GEOPHYS 264)
Introduction to Linear Dynamical Systems
Digital Signal Processing
Virtual Reality
Economics of Energy Markets (same as ECON 261)
Signal Processing for Machine Learning
Large Scale Matrix Computation, Optimization and Learning
Reinforcement Learning: Behaviors and Applications
Introduction to Statistical Signal Processing
3D+ Imaging Sensors
Imaging Radar and Applications
Convex Optimization I (same as CME 364A)
Convex Optimization II (same as CME 364B)
Computational Imaging (CS 448I)
Digital Image Processing
Medical Imaging Systems I
Medical Imaging Systems II
Medical Image Reconstruction
Adaptive Signal Processing
Mathematical Problems in Machine Learning
Information Theory and Statistics (same as STATS 311)
Statistical Signal Processing
Inference, Estimation and Information Processing
Information-Theoretic Lower Bounds in Data Science
RF Pulse Design for Magnetic Resonance Imaging
Introduction to Control Design Techniques
Linear Control Systems II
Analysis and Control of Nonlinear Systems
Linear Programming
Optimization
Stochastic Systems
Stochastic Calculus and Control
Reinforcement Learning: Frontiers
Dynamic Programming and Stochastic Control
Audio Applications of the Fast Fourier Transform (FFT)
Perceptual Audio Coding
Data, Learning, and Decision-Making
Image Systems Engineering
Modern Applied Statistics: Learning
Modern Applied Statistics: Data Mining

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