哥伦比亚大学Electrical Engineering+ 查看更多
哥伦比亚大学
Electrical Engineering
+ 查看更多
- 该项目的课程组合非常灵活,学生可以根据自己的目标制定合适的课程。
- 在选择课程的时候,学生可以深入学习电气工程学科,也可以选择哥伦比亚大学其他工程类课程。
- 学生的研究可以涉及:
physical devices
circuits and systems,
communications and networking,
signal, information, and data processing
computer engineering
smart electric energy, as well as
systems biology
neuro-engineering
- 学生可以于自己的课程顾问一起探讨,选择以下适合的专业方向:
Specialization in Wireless and Mobile Communications
Specialization in Integrated Circuits and Systems
Specialization in Systems Biology and Neuroengineering
Specialization in Lightwave (Photonics) Engineering
Specialization in Microelectronic Devices
MS Research Specialization in Electrical Engineering
项目时长:18个月全日制 (全日制)
项目授课地点:美国 纽约州 纽约
申请要求
申请流程
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计算机科学:
- COMS W4121 Computer Systems for Data Science
- COMS W4721 Machine Learning for Data Science
- CSOR W4246 Algorithms for Data Science
工程:
- ENGI E4800 Data Science Capstone and Ethics
统计数据:
- STAT GR5701 Probability and Statistics for Data Science
- STAT GR5702 Exploratory Data Analysis and Visualization
- STAT GR5703 Statistical Inference and Modeling
选修课:
- COMS W4995 Topics in Computer Science: Applied Machine Learning
- COMS W4995 Topics in Computer Science: Applied Deep Learning
- COMS W4995 Topics in Computer Science: Causal Inference for Data Science
- COMS W4995 Topics in Computer Science: Data Analytics Pipeline
- COMS W4995 Topics in Computer Science: Elements of Data Science
- COMS E6998 Topics in Computer Science: Machine Learning with Probabilistic Programming
- COMS E6998 Natural Language Processing: Computational Models of Social Meaning
- EECS E6894 Topics in Information Processing: Deep Learning for Computer Vision, Speech, and Language
- IEOR E4571 Topics in Operations Research: Personalization Theory & Application
- IEOR E4721 Topics in Quantitative Finance: Big Data in Finance
- STATS GR5293 Topics in Modern Statistics: Applied Machine Learning for Financial Modeling and Forecasting
- STATS GR5293 Topics in Modern Statistics: Applied Machine Learning for Image Analysis
- Cross-Registration Instructions for Non-Data Science Students
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