宾大ECE项目位于工程学院下面，需要1-2年读完，核心课程和选修课一半一半，所以给足了学生灵活度，下面就随留学通老师一起来看看宾大ECE项目课程设置吧！

一、宾大ECE项目课程设置

学生需完成10个课程单元：

5个核心课程单元(可从物理设备和纳米系统、电路与计算机工程、信息与决策系统三个领域中选择)

2个电气与系统工程系(ESE)属于选修课程单元

1个工程与应用科学学院(SEAS)也是选修课程单元

2个开放选修课程单元

二、宾大ECE项目主修课程

第一领域：Physical Devices & Nano Systems

ESE 5090: Quantum Circuits and Systems

ESE 5100: Electromagnetic & Optical Theory

ESE 5130: Prin of Quantum Tech

ESE 5210: The Physics of Solid State Energy Devices

ESE 5230: Quantum Engineering

ESE 5250: Nanoscale Science and Engineering

ESE 5290: Introduction to MEMS and NEMS

ESE 5360: Nanofabrication and Nanocharacterization

第二领域：Circuits & Computer Engineering

ESE 5150: Internet of Things Sensors and Systems

ESE 5160: IoT Edge Computing

ESE 5190: Smart Devices (previously titled “Introduction to Embedded Systems”)

ESE 5320: System-On-A-Chip Architecture

ESE 5350: Electronic Design Automation

ESE 5390: HW/SW Co-Design for ML

ESE 5700: Digital Integrated Circuits & VLSI Fundamentals

ESE 5720: Analog Integrated Circuits

ESE 5730: Chips-design

ESE 5780: RFIC (Radio Frequency Integrated Circuit) Design

ESE 5800: Power Electronics

ESE 6680: Mixed Signal Design and Modeling

第三领域：Information & Decision Systems

ESE 5000: Linear Systems Theory

ESE 5030: Simulation Modeling and Analysis

ESE 5050: Feedback Control Design and Analysis

ESE 5060: Intro to Optimization Theory (previously “ESE 5040: Intro to Linear, Nonlinear, and Integer Optimization”)

ESE 5070: Introduction to Networks and Protocols

ESE 5120: Dynamical Systems for Engineering and Biological Applications

ESE 5140: Graph Neural Networks

ESE 5280: Estimation and Detection Theory

ESE 5300: Elements of Probability Theory

ESE 5310: Digital Signal Processing

ESE 5380: Machine Learning for Time-Series Data

ESE 5420: Statistics for Data Science

ESE 5450: Data Mining: Learning from Massive Datasets

ESE 5460: Principles of Deep Learning

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