西北大学Electrical and Computer Engineering+ 查看更多
西北大学
Electrical and Computer Engineering
+ 查看更多
- 电气工程科学硕士项目灵活的为学生提供了在该不同方面进行专业学习的环境。
- 参加该项目后学生有机会通过与一名教师在研究实验室中工作,将独立研究作为其学位的一部分。
- 学校为了支持学生的研究工作,该系为硕士生提供最先进的研究设备和大量的资源。
- 该项目的研究领域包括:
计算机工程;包括但不限于计算机体系结构、计算机系统、操作系统、编译器、并行系统、分布式系统、高性能和并行计算、分布式计算、数据挖掘、人工智能、机器学习、大数据科学和应用、集成电路/VLSI、混合信号电路设计、设计自动化、形式化方法、嵌入式和实时系统、移动和可穿戴计算、物联网、网络物理系统、数据库系统和可重构系统。
信号与系统;包括但不限于图像和其他形式的信息及其获取、表示、处理、分析和解释、编码、通过网络、无线和其他渠道的传输,以及线性和非线性动态系统的控制。
固态光子和量子技术:主要研究兴趣是固态和光子设备和系统的设计、分析和概念验证开发。
项目时长:1年全日制项目
项目授课地点:美国 伊利诺伊州 埃文斯顿
申请要求
学术 |
|
TOEFL | 总分:90+ |
GRE | 不需要 |
IELTS | 总分:7+ |
其他要求 |
申请流程
第1步:准备好申请文件 |
· 推荐信 至少两封,建议三封推荐信 · SOP
· CV Resume required |
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) · GRE 成绩是不需要提供的 · 提交英语语言能力成绩 · 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 |
第4步:递交申请费 |
Computer Science: Concepts, Philosophy, and Connections
Intro to Computer Programming
Fundamentals of Computer Programming
Intro to Computer Engineering
Fundamentals of Computer System Software
Fundamentals of Computer Programming II
Mathematical Foundations of Computer Science
Intro to Computer Systems
Data Structures and Algorithms
Data Management and Information Processing
Introduction to Law and Digital Technologies
Introduction to Robotics Laboratory
Advanced Digital Design
Tangible Interaction Design and Learning
Technology & Human Interaction
Design, Technology, and Research
Programming Languages
Compiler Construction
Code Analysis and Transformation
Artificial Intelligence Programming
HCI Studio
Human Computer Interaction
Interactive Information Visualization
Fundamentals of Blockchains and Decentralization
Intro to the Theory of Computation
Design & Analysis of Algorithms
Intro to Natural Language Processing
Practicum in Intelligent Information Systems
Practicum in Intelligent Information Systems
Intro to Databases
Introduction to Computer Networking
Operating Systems
Design of Problem Solvers
Distributed Systems
Microprocessor System Design
Conversational AI
Intro to Artificial Intelligence
Machine Learning
Introduction to Computer Security
Intro to Computer Graphics
Intermediate Computer Graphics
Computer System Security
Digital Forensics and Incident Response
Computer Architecture I
Computer Architecture Project
Internet-of-Things Sensors, Systems, and Applications
Programming Massively Parallel Processors with CUDA
Knowledge Representation and Reasoning
Game Design and Development
Game Development Studio
Agile Software Development
Introduction to Cryptography
Modeling Relationships with Causal Inference
Communicating Computer Science
Proving Properties of Programs with Mechanized Logic
Social Networks Analysis
Advanced Graphics Seminar
Advanced Offense and Defense in Cybersecurity
Special Topics
Natural & Artificial Vision
Online Markets
Special Topics
Differential Privacy: from Foundations to Machine Learning
Artificial Life
Introduction to the Data Science Pipeline
Programming Languages Seminar
Security and Privacy Education
Dynamics of Programming Languages
Advanced Topics in Modern Cryptography
Topics in Software Engineering
Introduction to Kolmogorov Complexity
Approximation Algorithms
Data Science Seminar
Generative Methods
Social AR/VR Studio
Seminar in Statistical Language Modeling
Computer Science Education
Advanced Multimodal Interfaces and Analytics Research
Data Privacy
Selected Topics in Computer Networks
Wireless and Mobile Health (mHealth)
Innovation Lab: Building Technologies for the Law
Advanced Topics in Compilers
Wireless Protocols for the Internet of Things
Sports, Technology and Learning
(Special Topics) Innovation in Journalism & Technology
Rapid Prototyping for Software Innovation
Introduction to Graduate Studies in Computer Science
Swarms and Multi-Robot Systems
Quadrotor Design and Control
Advanced Networking
Internet-scale Experimentation
Kernel and Other Low-level Software Development
Deep Learning
Internet Security
Advanced Computer Architecture I
Parallel Architectures
Modern Topics in Computer Architecture
VLSI Algorithmics
Probabilistic Graphical Models
Special Topics In Data Systems Seminar
Theoretical Foundations of Data Science
Qualitative Reasoning Seminar
AI Perspectives: Symbolic Reasoning to Deep Learning
Visualization for Scientific Communication
Generative Deep Models
Advanced System Security
Logic In AI
Computational Optics
Modern Discrete Probability
Research Methods
Mathematical and Computational Foundations of Tensors and Applications
The Design of Technological Tools for Thinking and Learning
Learning Augmented Online Algorithms
The Design of Tools and Technologies for Computer Science Education
Deep Learning for Natural Language Processing
Data Economics
HCI Methods for Health Research
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