The applicant's own statement of goals, aspirations, and special interests (commonly referred to as the statement of purpose and refers to the applicant's future goals and plans for applying what (s)he learns in the program.
CV
第2步：需要的其他文件
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）
提交英语语言能力成绩
护照复印件
GRE可选的，建议递交
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
Area of Specialization: Computer Engineering
Code
Title
Credit Hours
Select 2 courses (6 credit hours) from the following:
6
ELEC 515
MACHINE LEARNING FOR RESOURCE-CONSTRAINED PLATFORMS
ELEC 516
ANALOG INTEGRATED CIRCUITS
ELEC 517
MICROWAVE ENGINEERING
ELEC 521
ADVANCED DIGITAL INTEGRATED CIRCUITS DESIGN
ELEC 522
ADVANCED VLSI DESIGN
ELEC 523
INTRODUCTION TO MICROFABRICATION
ELEC 526 / COMP 526
HIGH PERFORMANCE COMPUTER ARCHITECTURE
ELEC 527
VLSI SYSTEMS DESIGN
ELEC 543
ADVANCED HIGH-SPEED SYSTEM DESIGN
ELEC 553
MOBILE AND EMBEDDED SYSTEM DESIGN AND APPLICATION
ELEC 554 / COMP 554
COMPUTER SYSTEMS ARCHITECTURE
ELEC 574
UBIQUITOUS AND WEARABLE COMPUTING
Total Credit Hours
6
Area of Specialization: Computer Vision
Code
Title
Credit Hours
Select 2 courses (6 credit hours) from the following:
6
ELEC 502 / COMP 502 / STAT 502
NEURAL MACHINE LEARNING I
or COMP 540
STATISTICAL MACHINE LEARNING
ELEC 515
MACHINE LEARNING FOR RESOURCE-CONSTRAINED PLATFORMS
ELEC 531
STATISTICAL SIGNAL PROCESSING
ELEC 533 / CAAM 583 / STAT 583
INTRODUCTION TO RANDOM PROCESSES AND APPLICATIONS
ELEC 542
NEURAL METHODS FOR IMAGE SYNTHESIS
ELEC 546 / COMP 546
INTRODUCTION TO COMPUTER VISION
ELEC 547
COMPUTER VISION
ELEC 549
COMPUTATIONAL PHOTOGRAPHY
ELEC 553
MOBILE AND EMBEDDED SYSTEM DESIGN AND APPLICATION
ELEC 558
DIGITAL SIGNAL PROCESSING
ELEC 575
LEARNING FROM SENSOR DATA
ELEC 576 / COMP 576
A PRACTICAL INTRODUCTION TO DEEP MACHINE LEARNING
ELEC 578
INTRODUCTION TO MACHINE LEARNING
ELEC 631
ADVANCED MACHINE LEARNING
Area of Specialization: Data Science
Code
Title
Credit Hours
Select 2 courses (6 credit hours) from the following:
6
ELEC 502 / COMP 502 / STAT 502
NEURAL MACHINE LEARNING I
or COMP 540
STATISTICAL MACHINE LEARNING
ELEC 506
LINEAR ALGEBRA FOR DATA SCIENCE
ELEC 515
MACHINE LEARNING FOR RESOURCE-CONSTRAINED PLATFORMS
ELEC 519
DATA SCIENCE AND DYNAMICAL SYSTEMS
ELEC 531
STATISTICAL SIGNAL PROCESSING
ELEC 533 / CAAM 583 / STAT 583
INTRODUCTION TO RANDOM PROCESSES AND APPLICATIONS
ELEC 535
INFORMATION THEORY
ELEC 546 / COMP 546
INTRODUCTION TO COMPUTER VISION
ELEC 558
DIGITAL SIGNAL PROCESSING
ELEC 575
LEARNING FROM SENSOR DATA
ELEC 576 / COMP 576
A PRACTICAL INTRODUCTION TO DEEP MACHINE LEARNING
ELEC 578
INTRODUCTION TO MACHINE LEARNING
ELEC 631
ADVANCED MACHINE LEARNING
Total Credit Hours
6
Area of Specialization: Neuroengineering
Code
Title
Credit Hours
Select 2 courses (6 credit hours) from the following:
6
ELEC 502 / COMP 502 / STAT 502
NEURAL MACHINE LEARNING I
ELEC 523
INTRODUCTION TO MICROFABRICATION
ELEC 533 / CAAM 583 / STAT 583
INTRODUCTION TO RANDOM PROCESSES AND APPLICATIONS
ELEC 548 / BIOE 548
MACHINE LEARNING AND SIGNAL PROCESSING FOR NEURO ENGINEERING
ELEC 582
IMAGING OPTICS
ELEC 587
INTRODUCTION TO NEUROENGINEERING: MEASURING AND MANIPULATING NEURAL ACTIVITY
ELEC 588 / CAAM 615 / NEUR 615
THEORETICAL NEUROSCIENCE I: BIOPHYSICAL MODELING OF CELLS AND CIRCUITS
ELEC 589
NEURAL COMPUTATION
ELEC 680 / BIOE 680
NANO-NEUROTECHNOLOGY
ELEC 682
SPOTLIGHT ON LATEST NEUROTECHNOLOGY
NEUR 582
INTRODUCTION TO COMPUTATIONAL NEUROSCIENCE
Total Credit Hours
6
Area of Specialization: Quantum Engineering
Code
Title
Credit Hours
Select 2 courses (6 credit hours) from the following:
6
ELEC 517
MICROWAVE ENGINEERING
ELEC 523
INTRODUCTION TO MICROFABRICATION
ELEC 560
PHYSICS OF SENSOR MATERIALS AND NANOSENSOR TECHNOLOGY
ELEC 562
OPTOELECTRONIC DEVICES
ELEC 563 / PHYS 563
INTRODUCTION TO SOLID STATE PHYSICS I
ELEC 566
NANOPHOTONICS AND METAMATERIALS
ELEC 567
NANO-OPTICS
ELEC 569 / PHYS 569
ULTRAFAST OPTICAL PHENOMENA
ELEC 571
IMAGING AT THE NANOSCALE
ELEC 572
FINITE ELEMENT METHOD FOR MULTIPHYSICS MODELING
ELEC 605 / PHYS 605
COMPUTATIONAL ELECTRODYNAMICS AND NANOPHOTONICS
ELEC 660
QUANTUM INFORMATION SCIENCE AND TECHNOLOGY
Total Credit Hours
6
Area of Specialization: Wireless Systems
Code
Title
Credit Hours
Select 2 courses (6 credit hours) from the following:
