Responsible research behavior in electrical engineering 50 1/EGR 50 1
Graduate students of educational engineering in this course are responsible for research. These lectures provide theoretical background information and case studies, involving ethics, publishing and peer review, student consultation, cooperative research and overall and long-term considerations in daily research. The expected impact. Provide students with resources to consult moral issues. In the group discussion of specific rules in colleges and research fields, theoretical concepts are related to the situation of individual students.
Electrical Engineering 5 13/MSE 53 1 Nano/Micro-machining
Introduce students to the basic technology and knowledge of nano/micro-machining, and provide them with practical experience in making nano/micro-structures and dealing with complex equipment. This course includes four one-hour lectures (once a week), seven three-hour experiments (once a week) and three experiments. Each student starts with a bare silicon wafer and ends with a microstructure consisting of resistors, capacitors, diodes and transistors. Students learn and perform wafer cleaning, thin film thermal oxidation, dopant diffusion, lithography, chemical etching, metal film evaporation and related.
Electrical Engineering 5 14 Off-campus Research Practice
Full-time research internship in the host institution and academic research related to student thesis work. The research objectives will be determined by consultants and external hosts. Mid-term academic progress evaluation and final paper are needed. Admission is limited to two semesters for ordinary students at most. Special regulations apply to international students who use CPT/OPT. Students can only apply for registration.
Electrical Engineering 5 15 Off-campus Summer School
The summer research course is designed with student consultants and industry, non-governmental organizations or government sponsors, and will provide practical experience related to the field of student research. Start date is not less than June 1. Need to study the evaluation of courses and sponsors.
Electrical Engineering 5 18 and 5 19 Seminar on Information Science and Systems
The forum composed of graduate students, staff and outstanding external speakers introduced their recent research in signal processing, communication and information theory, decision-making and control, and system theory. Students from the International Space Station need to attend.
Optimization and optimal control of electrical engineering 520
Study on optimization theory with vector space method. Topics include the review of finite dimensional linear space and the discussion of infinite dimensional (function) space expansion; Operator and function analysis; Minimum specification problem; Duality, convexity and constrained optimization problems; Lagrange multiplier theory and its application in optimal control, including maximum principle. The emphasis is on the theoretical basis of geometric interpretation set by vector space.
Electrical Engineering 52 1/MAE 547 Linear System Theory
This course covers the basic knowledge of linear system theory. The important topics that need to be further studied in power system, control and communication and signal processing are introduced.
Electrical Engineering 523/MAE 548 Nonlinear System Theory
Research on useful mathematical techniques for analysis and design of nonlinear systems. Courses include stability and qualitative behavior of differential equations, functional analysis and input/output behavior of systems, and "modern" nonlinear system theory using geometric and algebraic techniques. Prerequisite: 52 1.
Statistical inference theory of electrical engineering 524
Logical basis of classical Bayesian estimation and decision theory. It introduces statistical hypothesis testing. It studies parametric and nonparametric methods and large sample theory.
Stochastic Process in Electrician 525 Information System
Basic knowledge of probability and stochastic process and its application in information science and system. This course examines random variables and convergent sequences; Stationarity and ergodicity; Second-order properties and estimation; Poisson and renewal process; And Markov processes.
Electrical Engineering 526 Digital Communication and System
Digital communication and data transmission. Subjects include source coding, signal coding, representation and quantization; Modulation, synchronization and transmission methods; Optimal demodulation technology; Communicate through limited bandwidth and random channels.
Special topic of electrical engineering signal processing 527
At present, subjects interested in digital signal processing algorithms and their implementation include floating-point arithmetic rounding error, fast transformation algorithm, multi-rate and multi-dimensional signal processing, spectrum estimation and adaptive signal processing. Prerequisites: 482 and 525 or equivalent.
Electrical Engineering 528 Information Theory
This paper discusses Shannon's information theory, including noise-free source coding theory and channel coding theorem of ergodic sources, including memory channel, multiple access and Gaussian channel.
Electrical Engineering 529 Theory/Physical Basis/Stochastic Process
Mathematical properties of dealing with stochastic process systems. This course explores basic concepts and general attributes; Convergence, second-order process and orthogonal incremental process; And wiener's theory. It examines Brownian motion and random integral sum processes in independent increments. Markov process, diffusion equation and stochastic differential equation are studied. It has applications in detection, estimation and stochastic control. Prerequisites: 485 or 525 or equivalent.
Theory of electrical engineering detection and evaluation 530
Hypothesis test; Detection and estimation of noise signal; Detecting signals with unknown parameters; Predicting and filtering static time series; Detecting random signals; As well as nonparametric and robust techniques. Prerequisite: 525 or equivalent.
Electrical Engineering 53 1 Communication Network
Modeling and analysis of high-speed communication network. Themes include M/M/ 1, M/G/ 1, G/M/m and G/G/ 1 queue; Queued networks and lost networks; Network architecture and protocols; Media access control, multiplexing and switching; Resource allocation and congestion control; TCP/IP protocol in LAN and Internet and B-ISDN ATM network. Prerequisite: 525 or equivalent, familiar with 486 subjects is preferred.
Electrical Engineering 532 Adaptive System
Adaptive system theory and its application in communication and control. The course examines learning skills and related models; The role of comprehensive statistics; Recursive and empirical Bayesian programs and convergence. The problem of simultaneous detection and estimation is studied. The topics discussed include inter-symbol interference and channel equalization, model reference adaptive system, multipath communication, adaptive data compression, decision-guided receiver, adaptive filtering and array. Prerequisite: 525 or equivalent.
Electrical Engineering 533 Multi-user Communication Theory
A communication channel shared by multiple users, focusing on the application in wireless communication. Time division and frequency division multiplexing, random access communication and code division multiple access are studied. This course focuses on the analysis and design of multi-user detection for interference suppression in CDMA. Prerequisites: 486 and 525 or equivalent.
Electrical Engineering 534 Optical Fiber Communication System
Guided light transmission in optical fiber and planar waveguide: fiber types and their characteristics, such as loss and bandwidth; Performance of light emitting diodes and semiconductor lasers in optical fiber systems: modulation technology; Principle of homodyne and heterodyne optical detection; Noise in optical receiver includes dark current, random carrier multiplication noise, thermal noise and quantum noise, as well as system design and performance. Examples of optical wave communication systems are given, including long-distance transmission, optical fiber local area network, photon exchange and VLSI optical micro-area network.
Electrical Engineering 535 Machine Learning and Pattern Recognition
This paper introduces the theoretical basis of machine learning and pattern recognition. Subjects include Bayesian pattern classification; Parameter method; Nearest neighbor classification; Kernel method; Density estimation; VC theory; Neural network; Random approximation. Prerequisite: Electrical Engineering 525 or teacher's permission.
Topics on Information Science and Systems in Electrical Engineering 538 and 539
Advanced research in selected fields such as signal processing, communication and information theory, decision-making and control, and system theory. Emphasize recent development and current literature. According to the interests of teachers and students, the content is different every year.
Electrical Engineering 540 Organic Materials for Photonics and Electronics
The application of organic materials in active electronic and photonic devices is introduced. The basic concepts and terms of organic materials and the relationship between electronic and optical structures and properties are discussed. Check charge transfer, light emission and photoelectric charge transfer. Finally, the prototype organic devices as light emitting diodes, photodetectors and transistors are described.
Electrical Engineering 54 1/MSE 5 10 Electronic Materials
The science and technology of materials used in electronics and optoelectronics have their own emphasis. Courses include crystal and thin film growth, vacuum technology, semiconductor phase diagram, defects and atomic diffusion, electronic material analysis technology, amorphous silicon and large-area electronic equipment, display and solar cell materials.
Electrical Engineering 542 Surface Characteristics of Electronically Active Solids
Theoretical and experimental determination of electronic characteristics and atomic structure of solid surfaces and interfaces: surface energy band structure: surface state; Atomic reconstruction; Metal, semiconductor interface and semiconductor heterojunction. The experimental techniques such as electron diffraction and fine structure technology, auger and core photoelectron spectroscopy, angle-resolved valence band spectroscopy, scanning probe microscope and spectroscopy were studied.
Electrical Engineering 543 Solid Transportation Process
Transport Properties, Onsager Relation and Wave Dissipation Theorem under the Background of Irreversible Thermodynamics. This course also studies Boltzmann equation, which is used to systematically study the phenomena of electricity and heat transmission in solids (mainly semiconductors), including magnetic field effect.
Electrical Engineering 544 Heterojunction Physics and Technology
The metal oxide semiconductor structure made on silicon substrate and the heterojunction thin film structure made of lattice-matched single crystal compound semiconductor are studied. Emphasis is placed on the electronic characteristics of these structures and their applications in solid-state electronic devices. Topics of contemporary interest include quantification of surface inversion layers, properties of two-dimensional electrons, localization and synthesis of superlattices.
Electrical Engineering 545 Electronic Equipment
Physics and technology of electronic equipment; Junction transistor and field effect crystal, MOS integrated circuit and special microwave equipment.
Electrical Engineering 546 Optical Properties of Solids
Classical and quantum mechanical theories of absorption and dispersion. Optical properties are derived from the knowledge of the energy band structure of solid electrons, including the influence of excitons and external disturbances; The influence of stimulation, disorder and dimensionality reduction; Volume and surface polaron; Nonlinear optical processes, transient and irreversible phenomena. Includes an overview of major measurement techniques.
Topics on solid-state electronics in electrical engineering 547 and 548
One or more advanced courses in solid state electronics. The content is different every year. Recent topics include: electronic properties of doped semiconductors, physics and technology of nanostructures, and organic materials for optical and electronic device applications.
Electrical Engineering 549/MSE 533 VLSI Physics and Technology
The phenomena encountered in VLSI manufacturing and VLSI device operation. Topics of treatment include the effects of ion implantation and point defects on oxidation and diffusion. Device courses include scaling theory, submicron MOS and bipolar device design. This course examines the computer simulation of equipment and processes; And the product of speed and power and the basic limitations in VLSI. Prerequisites: knowledge of integrated circuit manufacturing technology and 545 or equivalent education.
Theory and Application of 55 1 Photonic Devices in Electrical Engineering
The basis of the working principle of semiconductor photonic devices. Topics include how system requirements affect device design, semiconductor laser diode and photodiode physics, modulators, and optoelectronic and photonic integrated circuits.
Electrical Engineering 552 Ultrafast and Quantum Optics
Basic principle and application of ultrafast pulse generation, propagation and detection. It covers all aspects of quantum optics, including coherent states, squeezed states and quantum noise. Emphasis is placed on practical engineering applications. The goal of this course is to lay a foundation for the study of ultrafast optical phenomena, quantum measurement and all-optical signal processing.
Electrical Engineering 553/MSE 553 Nonlinear Optics
Nonlinear optics, second harmonic generation, parametric amplification and oscillation, electro-optic effect, third-order nonlinearity, phase yoke optics, photorefractive materials and solitons are introduced.
Electrical Engineering 563 Electronic Design Automation
Case study of electronic design automation. Pay attention to the application of basic technology and multiple problems. Current courses include two-level logic minimization, Boolean function representation and operation, technical mapping of logic circuits, plane planning, cell layout and routing, time sequence verification and behavior synthesis. This work includes research paper presentation, homework and final course.
Electrical Engineering 567/PHY 567 Advanced Solid-State Electronic Physics
Electron localization, Anderson model and positioning and scaling theory in disordered structure; Keywords correlated electronic system, Hubbard model, Mott transition; Transformation of metals and insulators in related and disordered materials; Quantum Hall Effect, Integer and Fraction, and Quantum Phase Transition.
Realization of Quantum Information in Electrician 568
The course first outlines the standard of physical realization of DiVincenzo algorithm, and then considers the main competitors of physical systems, including superconducting qubits, electron spins in semiconductors and liquid helium, and quantum computers based on ion traps. Various possible quantum architectures and weekly problem sets will be considered. Knowledge of quantum mechanics at undergraduate level will be assumed.
Electrical Engineering 570 VLSI Array Processor
VLSI array is designed to deal with the extremely strict real-time processing of signal/image processing and scientific calculation. The design method of vertically integrated VLSI system covers technical constraints, algorithm analysis, parallel extraction, architecture design, system development and application understanding. And VLSI architecture, mapping algorithm to array, pulse array design, wavefront array design.
Electrical Engineering 57 1 Digital Neural Computing
Basic aspects of neural computing, including theory, modeling, algorithm, architecture and application program. The course introduces various work network models and corresponding learning algorithms. Then it is deduced that the basic components of neural network and neural computer are unified. This course discusses the important future prospect of neural modeling and its potential influence on traditional algorithm/architecture design, as well as its application prospect in various image/visual processing and pattern recognition problems.
Processor Architecture of New Paradigm of Electrical Engineering 572
Advanced instruction set architecture, microarchitecture and memory architecture in the emerging field of digital information processing. Algorithms, arithmetic and architecture techniques for accelerating multimedia information processing and using programmable processors for security information processing. Topics may include: the best media processor for Internet information equipment, and encryption support for e-commerce, extranet and intellectual property protection.
Electrical Engineering 573/CBE 573 Cell and Biochemical Computing System
The computational problems in cell system modeling and synthetic biochemical computing system engineering are discussed. Courses include the establishment of genetic regulatory network by continuous and random methods, the construction of synthetic gene network, metabolic network, signal transduction pathway, intercellular signal transduction, molecular and DNA calculation, molecular self-assembly, directed molecular evolution, transcription and translation regulation, oscillation and biological clock, cell differentiation and pattern formation, chemotaxis, molecular switch and molecular electronics, and chemical calculation theory.
Electrical Engineering 579/COS 579 General Information System
Equipment and systems that provide information anytime and anywhere. The goal of general information: business, entertainment, government, etc. Components of general information system: low-power electronic products, audio/video, network, human-computer interaction and geographical distributed system.
Electrical Engineering 580/COS 580 Advanced Subject of Computer Engineering
Research topic of computer engineering specialty. Pay attention to new achievements and emerging fields. A more detailed overview is contained in the syllabus booklet published by the college every year. )
Electrical Engineering 59 1 High-tech Entrepreneurship
Courses designed for graduate students majoring in science and engineering, especially those with master's degree in engineering, are interested in starting high-tech companies early in their careers, or hope to become the main contributors to emerging high-tech companies after graduation. This course is attended by undergraduates registered in Electrical Engineering 49 1. Graduate students will be required to attend four 90-minute seminars, including special readings and assignments, to explain and analyze business feasibility and develop new products that create commercial success in more detail.
Electrical Engineering 597 and 598 Master of Electrical Engineering courses
Under the guidance of the teacher, every student will have a master class and show his achievements.
Princeton University recommended reading: