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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