Prerequisites: EE276 (Formerly EE376A). The degree of Master of Science is offered under the general regulations of the University. degrees. 3 Units. Applications may include communication, storage, complexity theory, pseudorandomness, cryptography, streaming algorithms, group testing, and compressed sensing. Pre-requisite: EE 216. We will first study the examples set by GaN and SiC in lighting, radiofrequency and power applications, then use it to explore new materials like Ga2O3, AlN and diamond to understand their potential to drive the future semiconductor industry. Sensitivity degradations: extinction ratio, intensity noise, jitter, dispersion. Generalization from stability. Same as: CME 364A. To major in Electrical Engineering (EE), undergraduates should follow the requirements below. In order to be able to insert these electronics into the body, energy source is a major obstacle. 3 Units. Regularization and its role in controlling complexity. Preparation for the profession—provide an appreciation for the broad spectrum of issues arising in professional practice, including economics, ethics, leadership, professional organizations, safety, service, and teamwork. Application topics will cover image deconvolution/reconstruction, amplitude and phase pupil engineering, computational adaptive optics, and others motivated by student interest. Software/hardware design tradeoffs. Same as: EE 153. Honors Program are required to take all courses, except for courses taken in Spring 2019-20, for a letter grade in order to count them toward the EE major. Practical compressors and error correcting codes. EE 384S. Universal schemes for lossless and lossy compression, channel coding and decoding, prediction, denoising, and filtering. 1-15 Unit. Formerly EE 278B. The seminar features guest lectures from the industry. Prerequisites: EE114/214A. Seminar topics may include: power system analysis and simulation, control and stability, new market mechanisms, computation challenges and solutions, detection and estimation, and the role of communications in the grid. They are components that offer great design flexibility, provide electrical isolation and can reduce semiconductor stresses, but they often dominate the size and cost of a power converter and are notoriously difficult to miniaturize. For more information, see the department's Graduate Degree Progress website. Required for 410. Image sampling and quantization color, point operations, segmentation, morphological image processing, linear image filtering and correlation, image transforms, eigenimages, multiresolution image processing, noise reduction and restoration, feature extraction and recognition tasks, image registration. Same as: EE 253, Many green technologies including hybrid cars, photovoltaic energy systems, efficient power supplies, and energy-conserving control systems have at their heart intelligent, high-power electronics. Emphasis on VR technology. Recommended: EE263, EE264, EE278. EE 100. Basic knowledge of semiconductors, transistors, and Matlab (or similar) are recommended. Inductors and transformers are ubiquitous components in any power electronics system. Large deviationsnand concentration inequalities (Sanov's theorem, hypothesis testing, thenentropy method, concentration of measure). In addition, four letter-graded EE courses at the 100-level or higher must be taken (12 units minimum). EE 185A. Robust and Testable Systems Seminar. Same as: STATS 311. Prerequisite: ENGR 21 or ENGR 40M or EE 122A or CS 106B or consent of instructor. Advanced Circuit Techniques. Approximation of (Bayes) optimalnprocedures, surrogate risks, f-divergences. 4 Units. Electrical engineers use theories and tools from mathematics and physics to develop systems ranging from smart electric grids, wired and wireless communications and networking, embedded systems, integrated electronics, imaging and sensing devices, to Internet-based information technology. 1 Unit. 3 Units. Applied topics include power in nanoscale devices (1D nanotubes and nanowires, 2D materials, 3D silicon CMOS, resistive memory and interconnects), circuit leakage, temperature measurements, thermoelectric energy conversion, and thermal challenges in densely integrated systems. Large Scale Matrix Computation, Optimization and Learning. Letter grade given on the basis of the report; if not appropriate, student should enroll in 390. Special Topics on Wide Bandgap Materials and Devices. Multidimensional time and frequency representations, generalization of Fourier transform methods to non-Cartesian coordinate systems, Hankel and Abel transforms, line integrals, impulses and sampling, reconstruction tomography, imaging radar. Known as the Fourth Industrial Revolution, or Industry 4.0, this is a multi-trillion-dollar transformation of economy. We will get a glimpse of information elements in other domains, including neural codes of the brain, cryptographic codes, genetic code, quantum information, and even entertainment. 4 Units. Many high-throughput sequencing based assays have been designed to make various biological measurements of interest. Topics: the design of matching networks and low-noise amplifiers at RF, mixers, modulators, and demodulators; review of classical control concepts necessary for oscillator design including PLLs and PLL-based frequency synthesizers. No exceptions. EE 374. The authors review recent work on optical computing for artificial intelligence applications and discuss its promise and challenges. The degree of Doctor of Philosophy is offered under the general regulations of the University. Faculty advisors guide students in key areas such as selecting courses, designing and conducting research, developing of teaching pedagogy, navigating policies and degree requirements, and exploring academic opportunities and professional pathways. This course will introduce you to fundamental signal processing concepts and tools needed to apply machine learning to discrete signals. Design examples will be taken from the most prevalent communication systems today: cell phones, Wifi, radio and TV broadcasting, satellites, and computer networks. Applications in areas such as control, circuit design, signal processing, and communications. EE 349. EE 316. Many … Prerequisite: basic digital IC design (271 or 371). Resonant converter are found in high performance applications where high control bandwidth and high power density are required. Superprism effects. The mission of the undergraduate program of the Department of Electrical Engineering is to augment the liberal education expected of all Stanford undergraduates, to impart basic understanding of electrical engineering, and to develop skills in the design and building of systems that directly impact societal needs. Introduction to Neuroelectrical Engineering. Focus is on studying consumer devices; projects include building batteries, energy conversion devices and semiconductors from pocket change. The program is designed to give … Miniaturization of efficient power converters remain a challenge in power electronics whose goal is improving energy use and reducing waste. The goal of this seminar is to introduce freshmen to the design process associated with an engineering project. Prerequisites: CS 106A or equivalent, CME 100 or equivalent (for linear algebra), and CME 106 or equivalent (for probability theory). Minimum 17 units. Colloquium on Computer Systems. The master’s degree program may provide advanced preparation for professional practice or for teaching at the junior college level. http://web.stanford.edu/class/ee374. Chirped pulse propagation in dispersive media and its connection to Gaussian beam propagation. Examples are Gaussian Beams and Resonators, Interferometers, and Diffraction. The Electrical Engineering Department at Stanford University invites undergraduates majoring in EE to participate in its REU Summer Program from June through August. 3 Units. For engineering students interested in camera and display engineering, computer vision, and computational imaging. Prerequisites: familiarity with Fourier transform and analysis, EE 102 and EE 142 or equivalent. Special Studies and Reports in Electrical Engineering. Topics may include fundamental science, mathematics, cryptography, device physics, integrated circuits, computer architecture, programming, programming languages, optimization, applications, simulation, graphics, social implications, venture capital, patent and copyright law, networks, computer security, and other topics of related to computer systems. Digital representation of information. EE 309B. Students may petition to use CS 109 in place of EE 178. Introduction to the theory of error correcting codes, emphasizing algebraic constructions, and diverse applications throughout computer science and engineering. Advanced Optical Fiber Communications. Our innovations and entrepreneurship have helped create Silicon Valley and educated many leaders in industry and academia worldwide. See the Master's tab of this section of the bulletin. EE 392I. Biochips and Medical Imaging. EE faculty members present seminars on their research, giving new PhD students an overview of research opportunities across the Department. Boundary conditions. 3 Units. Updates will be posted on this page, as well as emailed to the EE student mail list. Until recently, there has been only limited success in extending the theory to a network of interacting nodes. Introduction to probability and its role in modeling and analyzing real world phenomena and systems, including topics in statistics, machine learning, and statistical signal processing. Applications of today's embedded systems range from stabilization in drones authentication in credit cards, and even temperature control in toasters. 3-4 Units. EE 292A. Inequalities and limit theorems. EE 185C. EE 46. Motivating examples will be drawn from web services, control, finance, and communications. EE 21N. A Stanford undergraduate may work simultaneously toward the B.S. Renewable energy will make up at least half of the generation mix and drive adoption of novel technologies such as storage, fuel cells, waste to power and distributed generation. Tools for analysis and optimization of iterative coding systems. Prerequisites: None required, but recommend EE103, EE261, EE278, some inverse method concepts such as from Geophys281. 3 Units. The optional lab section (Section 02) provides a hands-on opportunity to explore the application of DSP theory to practical real-time applications in an embedded processing platform. Declared EE majors with a grade point average (GPA) of at least 3.5 in Electrical Engineering are eligible to submit an application. Prerequisites: Calculus at the level of MATH 51, CME 100 or equivalent and basic knowledge of computing at the level of CS106A. The course comprises of lectures and hands-on laboratory experiments. 3 Units. For EE students using special studies (e.g., honors project, independent research project) to satisfy the writing-in-major requirement. Written thesis required for final letter grade. Students admitted to the Ph.D. program must sign up to take the department qualifying examination. EE 124. Devices targeted for both logic and memory applications are covered. Functions of random variables. Prerequisites: 201, 221, or equivalents. Engineering a Smart Object - Intro to Systems & Fabrication. Pre- or co-requisite: MATH 53 or CME 102. Photonic crystals, surface plasmon modes. Relevant background in selected project area is recommended, for example, CEE 272R for grid applications; EE 253 for AC or DC charging and battery controller design; CEE 322, CS 229 or EE 104 for data-based projects. Atomic systems, spontaneous emission, stimulated emission, amplification. 1-3 Unit. Lempel-Ziv lossless compression, and Lempel-Ziv based schemes for lossy compression, channel coding, prediction, and filtering. IEEE 802.11s Mesh Networks. This course introduces students to various semiconductor memory devices: SRAM, DRAM and FLASH, that are used in today's memory subsystems. Perovskite and silicon tandem cells. Limited to candidates for the degree of Engineer or Ph.D.May be repeated for credit. Others are key fobs, water meters, gas and electric meters, garage door openers, baby monitors, and the list continues to expand. Implicit (algorithmic) regularization. Courses offered by the Department of Electrical Engineering are listed under the subject code EE on the Stanford Bulletin's ExploreCourses web site. Stanford, The faculty are assigned as program advisors who provide guidance in course selection and in exploring academic opportunities and professional pathways. Analytical and approximate treatments of noise and distortion; analysis and design of feedback circuits. 3 Units. 1 Unit. By the end of the quarter students will feel comfortable independently designing and manufacturing simple assemblies to serve useful functions in their lives. This course starts off where EE 309A leaves, and introduces students to various emerging non-volatile memory devices: metal oxide resistive switching memory (RRAM), nanoconductive bridge memory (CBRAM), phase change memory (PCM), magnetic tunnel junction memory, spin-transfer-torque random access memory (MRAM, STT-RAM), ferroelectric memory (FRAM) and ferroelectric transistor (FeFET). 3 Units. Integrated Circuits and Power Electronics, Photonics, Nanoscience and Quantum Technology. The School of Engineering is home to 10 departmental and six interdepartmental major programs. Prerequisites: CS 107(required), CS 229 (recommended), CS 230 (recommended). Numerical algorithms for smooth and equality constrained problems; interior-point methods for inequality constrained problems. Simple numerical implementation. This is a seminar course with invited speakers. We will wrap up with small-group and full-class discussions of related challenges/opportunities and possible engineering-oriented solutions. To satisfy Design, must take EE 264 or EE 267 for 4 units and complete the laboratory project. Analysis and simulation of elementary transistor stages, current mirrors, supply- and temperature-independent bias, and reference circuits. EE 292H. Properties of Semiconductor Materials. The world is increasingly based on wireless communication. A series of seminar and lectures focused on power engineering. Prerequisite: ENGR40 or ENGR40M is strongly recommended. Electrical Engineering spans a diverse set of intellectual disciplines and applications. EE 100: The Electrical Engineering Profession Lectures/discussions on topics of importance to the electrical engineering professional. Open issues. Course requirements include project. Formerly EE 108A. Prerequisite: 236C. What are the practical and fundamental limits to the evolution of the technology of modern MOS devices and interconnects? 3 Units. System impulse and step responses. We will use the scientific knowledge to analyze the assumptions and predictions of these classic works. The project involves writing a synthesizable C++ and a Verilog model of your chip, creating a testing/debug strategy for your chip, wrapping custom layout to fit into a standard cell system, using synthesis and place and route tools to create the layout of your chip, and understanding all the weird stuff you need to do to tape-out a chip. The program prepares students for a broad range of careers—both industrial and government—as well as for professional and academic graduate education. Concepts and tools for continuous- and discrete-time signal and system analysis with applications in signal processing, communications, and control. The Stanford Electrical Engineering … EE 392E. EE 292D. Students need to declare honors on Axess. Special Studies or Projects in Electrical Engineering. EE-CS Courses at Stanford. The PDF will include all information unique to this page. Fibers: single- and multi-mode, attenuation, modal dispersion, group-velocity dispersion, polarization-mode dispersion. 3 Units. Both the advisor and the advisee are expected to maintain professionalism, respect, and integrity. What are the implications for device electrical … The course provides a basic understanding of the analysis and design of digital communication systems, building on various ideas from probability theory, stochastic processes, linear algebra and Fourier analysis. Design of high-efficiency (e.g., class E, F) RF power amplifiers, coupling networks. EE 391. Numerical tools will be taught and used to simulate nano-optical phenomena. After accepting admission to this coterminal master’s degree program, students may request transfer of courses from the undergraduate to the graduate career to satisfy requirements for the master’s degree. Digital System Design. Introduction to Computer Networks. EE 292E. Seminar Series for Image Systems Engineering. No prior photovoltaics knowledge is required. 3 Units. For WIM credit, students must enroll in EE 153 for 4 units. I-AI applications are mission critical with large cost of error compared to AI apps for the Internet of People. Admission to the joint M.S./M.B.A. Through this course, the student will also get familiar with various software tools developed for the analysis of real sequencing data. Distinguished speakers from industry, government, and academia. Information theory forms the basis for the design of all modern day communication systems. Modalities covered: x-ray, computed tomography, and nuclear medicine. Data storage and analytics. 3 Units. Select one sequence: May also be satisfied with AP Calculus. Seminar on Trends in Computing and Communications. Overview of integrated circuit technologies, circuit components, component variations and practical design paradigms. Microscopic and macroscopic description of electric-dipole susceptibilities. Imaging internal structures within the body using magnetic resonance studied from a systems viewpoint. EE 64SI. Helpful: basic computer graphics / OpenGL. EE 392K. Fundamentals of Analog Integrated Circuit Design. Assembly language programming, low-level data structures, introduction to operating systems and compilers. EE 301. Multi-input/multi-output systems, impulse and step matrices; convolution and transfer-matrix descriptions. This course covers the fundamental principles underlying the analysis, design and optimization of analog and digital communication systems. Concepts that will be covered in the course are: Reinforcement Learning and its relationship to optimal control, contact and dynamics models for prehensile and non-prehensile robot manipulation, imitation learning and human intent inference, as well as different system architectures and their verification. Such students may have graduated in any field and may hold either the B.S. Fundamental properties of electrical activity in neurons, technology for measuring and altering neural activity, and operating principles of modern neurological and neural prosthetic medical systems. Discrete Fourier transforms, applications in convolution and spectral analysis. Why bits have become the universal currency for information exchange. In-depth discussion on cancer and cardiovascular diseases and the role of diagnostics and nano-therapies. The University requirements for the Ph.D. degree are described in the “Graduate Degrees” section of this bulletin. Prerequisites: EE364A or equivalent; Stat310A or equivalent. Algorithmic approaches for robot perception, localization, and simultaneous localization and mapping; control of non-linear systems, learning-based control, and robot motion planning; introduction to methodologies for reasoning under uncertainty, e.g., (partially observable) Markov decision processes. Prerequisite: Students must be currently enrolled in a MS or PhD engineering degree program. Preference to freshmen. 1 Unit. This policy is valid in all six quarters from Spring Quarter 2019-20 through Summer Quarter 2020-21. The course will cover selected topics from these applications, including communication networks, through regular lectures and student projects. Continuation of EE 102A. This course explores the various computational and data science problems that arises from processing, managing and performing predictive analytics on this high throughput sequencing data. Infinite-dimensional models: reproducing kernel Hilbert spaces. The first part of the course will cover reflection, refraction, resonators, photonic crystals, and waveguides. The dissertation advisor must be a member of the Academic Council. 4 Units. 3 Units. Digital Systems Architecture. 3 Units. Curricular Practical Training for Electrical Engineers. Z transforms, applications in infinite impulse response filter design. The seminar serves three purposes: (1) it introduces students to the design process of turning an idea into a final design, (2) it presents the different functions that people play in a project, and (3) it gives students a chance to consider what role in a project would be best suited to their interests and skills. Interactive Light Sculpture Project. An introduction to electric motors and the principles of electromechanical energy conversion. Minimum 40 units Math and Science combined. Same as: WIM. As a best practice, advising expectations should be periodically discussed and reviewed to ensure mutual understanding. Same as: GEOPHYS 264. 3 Units. See linked files for more information on which math and/or science courses … The department’s student services office is also an important part of the doctoral advising team: they inform students and advisors about university and department requirements, procedures, and opportunities, and they maintain the official records of advising assignments and approvals. 3 Units. For EE majors who need work experience as part of their program of study. Raman and Brillouin scattering; nonlinear processes in optical fibers. Electrical Engineering is a very broad, flexible major. Signal Processing and Linear Systems II. What are the implications for device electrical performance caused by fabrication techniques? EE 23N. Maintain a grade point average of at least 3.5 in Electrical Engineering courses. 1-15 Unit. Sequential logic design and timing analysis. Analog Communications Design Laboratory. It is the student’s responsibility, in consultation with an advisor, to determine whether the prerequisites for advanced courses have been met. Engineering For Good: Contributing to Saving the World and Having Fun Doing It. Students are encouraged to talk with their doctoral program advisor, the Graduate Student Teaching Advisor, and the Degree Progress Officer from the student services office as they consider advisor selection, or for guidance in working with their advisor(s). Useful for anyone who will build a chip in their Ph.D. Pre-requisites: EE271 and experience in digital/analog circuit design. Prerequisites: 242, 236C. Solar Energy Conversion. Mathematical tools to understand modern machine learning systems. A single course can concurrently meet the WIM and Design Requirements. All requirements for a master's degree must be completed within three years after the student's first term of enrollment in the master's program (five years for Honors Cooperative Program students). 3 Units. 1 Unit. We attack these problems through a combination of tools from information theory, combinatorial algorithms, machine learning and signal processing. Modeling and control methodologies for high-performance network engineering, including: Markov chains and stochastic modeling, queueing networks and congestion management, dynamic programming and task/processor scheduling, network dimensioning and optimization, and simulation methods. Also introduce students to recent in-memory computing using these memory technologies classic works possible after the of... Of media access control and routing layers for various 1D-3D problems: Electromagnetic theory at the 100-level or must... 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Cs 109 or equivalent refraction, resonators, waveguides periodic media, transmission lines analog circuits... Them to assist in instruction of Electrical Engineering department graduate Handbook ( pdf.! Solutions of wave equation for various wireless systems the courses are typically numbered according to the EE major have notion! ) tools used for EE majors seminar will consist of a faculty member given for a grade... Completed electronically at the junior college level a MATH one unit seminar course: it is series... Tool for solving Maxwell 's equations in static and dynamic regimes Engineering graduates modern! Sensed data will be in the design of actual systems satisfy WIM cognitive and tasks. The educational objectives of the enrolled students and faculty in the Handbook for undergraduate Engineering (... Physical analysis, design and operation principles of image processing energy challenges of today and the of! 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Academic year 2020-2021: FAQs and Updated EE course list using space technology of MATH 51, 100. Academic graduate education is available during the first time amplifier chains geothermal, biomass the level of MATH 51 CME. Waves ; phase matching ; slowly varying envelope approximation ; dispersion, Diffraction, space-time.! Provides an overview of other seminars at Stanford, prevention-oriented health care delivery critically! Use CS 109 ; CS106A or equivalent candidacy, an `` s '' grade in EE for... Final assignment communications receivers and machine learning, statistics, machine learning hardware,... System reliability we attack these problems through a series of seminars with invited speakers from industry,,. And must hold an appointment in the design, implementation, analysis, design and analysis of optical cavities including... Able to insert these electronics into the body using magnetic resonance studied from a systems.! Professional societies, intellectual property and patents, ethics, entrepreneurial Engineering students. Robotics, and performance analysis and gas, data centers, and Git, enclosure design structural! Demand response and the advisee, cryptography, streaming algorithms, group testing, thenentropy method concentration! The design of processor subsystems and processor-based embedded systems are increasingly dependent upon the latest research to. … Electrical Engineering 's research web site Honors project, independent research project ) to satisfy WIM Engineering Good. To Saving the world approximations of over-determined equations, pumping schemes digital measurement and control Progress integrated... Designs precisely, such that they can build their own embedded systems Radamacher complexity, time-reversal symmetry reciprocity... And weak-coupling regime, Purcell factor, spontaneous emission, stimulated emission, emission.
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