In order to receive departmental honors, students admitted to the honors program must: The options for completing a minor in EE are outlined below. Most students find an advisor from among the primary faculty members of the department. Analysis and simulation of elementary transistor stages, current mirrors, supply- and temperature-independent bias, and reference circuits. This course will introduce you to mixed signal design and the electronic design automation (EDA) tools used for it. Different generations of photovoltaic technology: crystalline silicon, thin film, multi-junction solar cells. Same as: AA 174A, AA 274A, CS 237A. Comparison of detection techniques: noncoherent, differentially coherent, coherent. Semiconductor physics and optical processes in semiconductors. Electric Motors for Renewable Energy, Robotics, and Electric Vehicles. has not changed, and all courses, except for courses taken in Spring 2019-20, must be taken for a letter grade. EE 290D. We attack these problems through a combination of tools from information theory, combinatorial algorithms, machine learning and signal processing. 3-4 Units. EE 378A. Group-velocity dispersion management: dispersion-compensating fibers, filters, gratings. Scattering matrix description of passive optical devices, and constraints from energy conservation, time-reversal symmetry and reciprocity. Topics covered include ac and dc rotating machines, power electronics inverters and drives, and control techniques. Convolutions and correlations and applications; probability distributions, sampling theory, filters, and analysis of linear systems. Students may take the course for 1, 2, or 3 quarters; each quarter focuses on a different phase of the project. Students learn to specify and analyze designs precisely, such that the first version of the object constructed works exactly as expected. May be repeated for credit. Course requirements include project. EE 260A. 3 Units. Special Topics on Wide Bandgap Materials and Devices. Required for 410. Ph.D. students are initially assigned a program advisor on the basis of the interests expressed in their application. EE Student Information, Spring Quarter through Academic Year 2020-2021: Integrated Circuits and Power Electronics, Photonics, Nanoscience and Quantum Technology, CS 103: Mathematical Foundations of Computing, CS 106B/ENGR 70B: Programming Abstractions, EE 102A: Signal Processing and Linear Systems I, CS 106X/ENGR 70X: Programming Abstractions (Accelerated), EE 102B: Signal Processing and Linear Systems II, CS 107: Computer Organization and Systems. degrees. For those who plan to work in highly technical development or fundamental research, additional graduate study is desirable. This course provides an introduction to battery systems for transportation and grid services: cell technologies, topology selection, thermal and aging management, safety monitoring, AC and DC charging, and operation control/optimization. EE 109. Some programming experience. Special Studies and Reports in Electrical Engineering. SmartGrids and Advanced Power Systems Seminar. Integrating electronics with sensing, stimulation, and locomotion capabilities into the body will allow us to restore or enhance physiological functions. This course will provide an advanced treatment of electromagnetic waves in free space and media. ), Doctor of Philosophy in Electrical Engineering, mezzanine courses for advanced undergraduate or first-year graduate, specialized courses for advanced graduate, Linear Algebra, Multivariable Calculus, and Modern Applications, Introduction to Matrix Methods (Preferred), Introduction to Electromagnetics and Its Applications, Analog Communications Design Laboratory (WIM/Design), Introduction to Digital Image Processing (WIM/Design), Special Studies and Reports in Electrical Engineering (WIM; Department approval required), Engineering a Smart Object - Adding connectivity and Putting it ALL together (Design), Computer Organization and Systems (Required prerequisite for, Computer Vision: Foundations and Applications, Operating Systems and Systems Programming, Introduction to Computer Graphics and Imaging, Artificial Intelligence: Principles and Techniques, Natural Language Processing with Deep Learning, Computer Vision: From 3D Reconstruction to Recognition, Convolutional Neural Networks for Visual Recognition, Signal Processing and Linear Systems II (Required), Introduction to Neuroelectrical Engineering, The Fourier Transform and Its Applications, Introduction to Stochastic Control with Applications, Introduction to Statistical Signal Processing, Introduction to Control Design Techniques, Fundamentals of Analog Integrated Circuit Design, Semiconductor Devices for Energy and Electronics, Electric Motors for Renewable Energy, Robotics, and Electric Vehicles, Principles and Models of Semiconductor Devices, Introduction to Optical Fiber Communications, Energy storage and conversion: Solar Cells, Fuel Cells, Batteries and Supercapacitors, 100% Clean, Renewable Energy and Storage for Everything, Quantum Mechanics of Nanoscale Materials (Formerly MATSCI 157), Solar Cells, Fuel Cells, and Batteries: Materials for the Energy Solution, Music, Computing, Design: The Art of Design, Music, Computing, Design II: Virtual and Augmented Reality for Music, Introduction to Audio Signal Processing Part I: Spectrum Analysis, Introduction to Audio Signal Processing Part II: Digital Filters, Signal Processing Models in Musical Acoustics, Signal Processing Techniques for Digital Audio Effects. Recommended: ENGR40 or EE122A. Same as: MS&E 251. Online game playing, gambling, no-regret learning. Declared EE majors with a grade point average (GPA) of at least 3.5 in Electrical Engineering are eligible to submit an application. The EE introductory class ENGR 40A and ENGR 40B or ENGR 40M may be taken concurrently with either EE 42 or PHYSICS 43. program is designed for students who wish to prepare themselves for careers that involve both Law and Electrical Engineering. The stories behind disruptive inventions such as the telegraph, telephone, wireless, television, transistor, and chip are as important as the inventions themselves, for they elucidate broadly applicable scientific principles. Finally, the principles of creating an interactive database for detecting anomalies, raising alerts, and serving insights to the user will be discussed. Digital Systems Design Lab. This course serves as an introduction to the emerging field of computational imaging and displays. BioIliana is a fourth year Ph.D. candidate in Electrical Engineering. Energy storage and conversion: Solar Cells, Fuel Cells, Batteries and Supercapacitors. EE 225. Prerequisites: EE 212, EE 216, or consent of instructor. 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. EE 376C. Enrollment in EE 391, Special Studies, is recommended as a means for getting acquainted with a faculty member who might be willing to serve as the dissertation advisor. Processor microarchitecture, microprogramming, pipelining. The 4-unit version requires a final course project and written report in lieu of the final assignment. Topics in International Technology Management. This year's focus on evolving cloud computing architectures and their impact on the enterprise; big data trends and rise of the third platform; software as a service; wireless and cellular network architectures; mobility and mobile data proliferation; open mobile platforms (e.g. Prerequisite: 247. The course also covers applications of DSP in areas such as speech, audio and communication systems. Design, testing, and applications of Radio Frequency (RF) electronics: Amplitude Modulation (AM), Frequency Modulation (FM) and concepts of Software Define Radio (SDR) systems. Advanced Integrated Circuit Design. May be repeated for credit. 3 Units. 3 Units. Introduction to VLSI Systems. Formerly EE 232. Course Duration (Or Credits) EE 272B. EE 373A. Device operation and compact modeling in support of circuit simulations needed for design. The underpinnings of modern technology are the transistor (circuits), the capacitor (memory), and the solar cell (energy). The architecture and design of interconnection networks used to communicate from processor to memory, from processor to processor, and in switches and routers. Addressing these challenges requires discovering and creating fundamentally new devices and systems for critical diagnostics (sensors, imaging), therapeutic (lasers, pacemakers, and neural interfaces), and analytical (high-throughput sequencing, healthcare IT) technologies. EE 290A. Communications skills—develop the ability to organize and present information and to write and speak effective English. A 50 percent appointment to a departmentally supported research assistantship, 6 units of independent study (EE 300 or EE 391), A prorated combination of the two (such as a 25 percent research assistantship supplemented by 3 units of independent study). Independent work under the direction of a faculty member given for a letter grade only. EE 292F. 3 Units. How can we make sound decisions based on partial and noisy information? The course involves a hands-on laboratory and a substantial final project. It can be taken on a stand alone basis or as a follow-up to CS 251. 1-15 Unit. Same as: CEE 272T. Penalized estimators and minimumndescription length. Finite state machines. IEEE 802.11 physical layer specifications: FHSS, DSSS, IEEE 802.11b (CCK), and 802.11a/g (OFDM). 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. You will be able to explain why different information services use different frequencies, why they encode the information the way they do, and what security risks they present. Optical properties of metallic nanostructures. Emphases will be on the interaction between human and electromagnetic fields in order to transfer power to the embedded electronics via electromagnetic fields, power harvesting circuitry, electrical-tissue interface, and sensing and actuating frontend designs. For students interested in the physical bases and practical methods of silicon VLSI chip fabrication, or the impact of technology on device and circuit design, or intending to pursue doctoral research involving the use of Stanford's Nanofabrication laboratory. Prerequisites: EE 142 or PHYSICS 120, and prior programming experience (Matlab or other language at level of CS 106A or higher). Prerequisite: MATH 53 or CME 102. Same as: EE 133. University requirements for the master’s degree are described in the "Graduate Degrees" section of this bulletin. EE 271. 3 Units. We will also cover topics such as interactions with system software, virtualization, solid state storage, and security. Lectures/discussions on topics of importance to the electrical engineering professional. The department awards a limited number of fellowships, teaching and course assistantships, and research assistantships to incoming graduate students. 3 Units. EE 192T. Same as: BIOE 313. The Wireless World, and the Data You Leak. 1 Unit. Students admitted to the Ph.D. program must sign up to take the department qualifying examination. Same as: BIOS 212, RAD 236. What is information? The fourth part will cover potentials, Green's functions, far-field radiation, near-field radiation, antennas, and phased arrays. Multidimensional Fourier transform and use in imaging. Convex Optimization II. Fundamentals of Energy Processes. The program proposal must be submitted to the Degree Progress Officer before the end of the first quarter of graduate study (second quarter for Honors Cooperative Program students); a final revised version is due at the beginning of the final quarter of study, prior to degree conferral. Differential circuits, frequency response, and feedback will also be covered. Formerly EE 152. The 5-unit WIM version requires everything the 4-unit version does, i.e. The School of Engineering is home to 10 departmental and six interdepartmental major programs. Formerly EE 292J. Nonparametric regression. Prerequisite: 369B. Prerequisites: PHYSICS 70 and MATSCI 199/209, or consent of instructor. 4 Units. Capable students without formal undergraduate preparation in electrical engineering may also be admitted for graduate study. Pre- or co-requisite: MATH 53 or CME 102. Dipolar interactions between emitters and nanostructures, weak and strong coupling, surface plasmon polaritons and localized plasmons, electromagnetic field enhancements, and near-field coupling between metallic nanostructures. EE 392AA focuses on state-of-the-art data communication systems that use multiple dimensions (parallel antennas, wires, links), including the latest versions of 5G, Wi-Fi, G.MGfast wireline, DOCSIS 3.1, and other systems that stress fundamental transmission limits. Cognitive memory/human and machine. Performance evaluation using computer-aided design tools. Analytical and approximate treatments of noise and distortion; analysis and design of feedback circuits. LDPC, turbo and, RA codes. 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. Formerly EE392Q. The master’s program, requiring a minimum of 45 units of graduate study, should be considered by those with the ability and desire to make a life's work of professional practice or continued graduate study. The Ph.D. is conferred upon candidates who have demonstrated substantial scholarship and the ability to conduct independent research. Information Science and Engineering. 4 Units. 3 Units. For EE majors who need work experience as part of their program of study. Photonics and fiber optics with a focus on communication and sensing. Imaging internal structures within the body using high-energy radiation studied from a systems viewpoint. Traditional consensus protocols are designed for the closed setting where nodes are permissioned and fixed. Non-sequential inference via sequential probability assignments. As an example, the design of a convolutional neural network (CNN) for basic image recognition illustrates the interaction between hardware and software for machine learning. For each system class, we cover the system architecture, processor technology, advanced memory hierarchy and I/O organization, power and energy management, and reliability. The Electronic Structure of Surfaces and Interfaces. Prerequisite: consent of instructor. Prerequisite: EE 214B. The department’s Graduate Handbook provides information and suggested timelines for different stages of the doctoral program. Prerequisite: EE101B. Physical principles of operation of the p-n junction, heterojunction, metal semiconductor contact, bipolar junction transistor, MOS capacitor, MOS and junction field-effect transistors, and related optoelectronic devices such as CCDs, solar cells, LEDs, and detectors. In 1948, Claude Shannon published a seminal paper formalizing our modern notion of information. B. Miller, Subhasish Mitra, Andrea Montanari, Boris Murmann, Dwight G. Nishimura, Oyekunle Olukotun, Brad G. Osgood, John M. Pauly, James D. Plummer, Eric Pop, Balaji Prabhakar, Mendel Rosenblum, Krishna Saraswat, Krishna V. Shenoy, H. Tom Soh, Olav Solgaard, Fouad A. Tobagi, David Tse, Benjamin Van Roy, Jelena Vuckovic, Shan X. Wang, Tsachy Weissman, Jennifer Widom, H. S. Philip Wong, S. Simon Wong, Howard Zebker, Associate Professors: Amin Arbabian, Srabanti Chowdhury, Dawson Engler, Sachin Katti, Philip Levis, Ayfer Ozgur Aydin, Ada Poon, Juan Rivas-Davila, Assistant Professors: Daniel Congreve, John Duchi, Jonathan Fan, Chelsea Finn, Mert Pilanci, Priyanka Raina, Dorsa Sadigh, Caroline Trippel, Gordon Wetzstein, Mary Wootters, Professors (Research): William J. Dally, Butrus Khuri-Yakub, Piero Pianetta, Courtesy Professors: Maneesh Agrawala, Stacey Bent, Kim Butts-Pauly, Emmanuel Candes, E.J. Prerequisites: EE 102A and EE 142. ... Electrical Engineering (EE) Engineering (ENGR) ... Sophomore College Courses (SCS) Cardinal Courses Pathways. Interaction of dispersion and nonlinearity, dispersion maps. Prerequisite: EE 251 or EE 314A. When the research advisor is from outside the department, the student still has the same program advisor from the primary faculty, to provide guidance on departmental requirements and opportunities. Analog Communications Design Laboratory. 1 Unit. EE191A is part of the Accelerated Calculus for Engineers program. We encourage students in both the Stanford Department of Electrical Engineering and the Stanford Department of Computer Science to consider including these courses in their degree programs. Students will also get a glimpse of ways in which these principles manifest in domains ranging from the neural codes of the brain, through the genetic code, to the structure of human language. 1 Unit. EE 169. Minimum 17 units. Dan Boneh. Stanford Electrical Engineering Requirements Electrical Engineering - Stanford University Overview of Graduate-level Programs | Stanford EE ... the 200-level or higher in Electrical Engineering courses (of which 15 units must be letter-graded), and have the Application for Ph.D. Minor approved For EE students using special studies (e.g., honors project, independent research project) to satisfy the writing-in-major requirement. Scientific issues, political and social consequences, costs of disaster mitigation, and how scientific knowledge affects policy. Students identify their doctoral research/thesis advisor, pass the qualifying exam, and advance to candidacy prior to the end of the second year of study. 3 Units. Introduction to Stochastic Control with Applications. Students will perform several projects which will involve coding, mathematical/statistical analysis, and explaining the relevance of the work to art scholarship. Prerequisites: familiarity with Fourier transform and analysis, EE 102 and EE 142 or equivalent. Design of high-efficiency (e.g., class E, F) RF power amplifiers, coupling networks. Classical numerical linear algebra can be prohibitively costly in many modern problems. The components used in these circuits (e.g., diodes, transistors, capacitors, inductors) will also be covered in detail to highlight their behavior in a practical implementation. EE 364A. Product Management for Electrical Engineers and Computer Scientists. EE 359. Sensitivity degradations: extinction ratio, intensity noise, jitter, dispersion. Topics in Information Theory and Its Applications. Design Projects in VLSI Systems I. Each week Dr. Field and/or a guest speaker will lead a short warm-up discussion/activity and then deliver a talk in his/her area of expertise. Recommended: EE114/214A. Asymptotic behavior of wide neural networks. Our research investigates techniques such as demand response and the use of energy storage to reduce peak demand and address variability of renewable energy. Fundamentals of circuit simulation. The information theoretic way of thinking. Regularization and its role in controlling complexity. This hands-on course focuses on SIMD (Single-Instruction, Multiple-Data) massively parallel processors. 3 Units. See syllabus for specific requirements, which may differ from those of other seminars at Stanford. For a minor in Electrical Engineering, students must fulfill the M.S. Prerequisites: EE276 (Formerly EE376A). Digital System Design. Optical micro- and nano-cavities and their device applications. EE 369A. Raman and Brillouin scattering; nonlinear processes in optical fibers. Therefore, students should select their grade option carefully when enrolling in a course. Frequency-domain representations: Fourier series and Fourier transforms. Emphasis on VR technology. Previous guests include: Jon Rubinstein (NeXT, Apple, Palm), Diane Greene (VMware), and Ted Hoff (Intel). Here you will find a Major Programs page and requirements listed for Minor Programs and Honors Programs. Random features approximations to kernel methods. The goal of this seminar is to introduce freshmen to the design process associated with an engineering project. Such students may be allowed to complete a master’s degree in Electrical Engineering instead. This course will provide a introduction to several of the major imaging modalities, using a signal processing perspective. EE 142. Prerequisite: EE 142 or PHYSICS 120 or equivalent. Energy in Electronics. Upon completion of the qualifying examination and after securing agreement by two faculty members to serve as dissertation advisor and second reader, the student files an Application for Candidacy for Doctoral Degree. Android); multi-homed mobile networking, associated data communication and mobile resource trade-offs, and system implementation in smartphones and Android devices. The first part of the course will cover reflection, refraction, resonators, photonic crystals, and waveguides. Insanely Great Products: How do they get built?. Current IoT frameworks and underlying architectures. The Stanford Electrical Engineering Graduate Certificate program provides you with a way to increase your knowledge and skills in electrical engineering either for career development or in preparation for graduate studies. Fundamental aspects of CVD are initially considered, first focusing on processes occurring in the gas phase and then on those occurring on the surface. Practical aspects of circuit implementations are developed; labs involve building and characterization of subsystems as well as integration of a complete radio system and a final project. Security aspects of IoT systems. For more information, see the Electrical Engineering Department Graduate Handbook (pdf). 3 Units. We will use the scientific knowledge to analyze the assumptions and predictions of these classic works. 3 Units. Same as: MATSCI 225, SBIO 225. Carrier generation, transport, recombination, and storage in semiconductors. Final project consists of design, analysis and simulation of an advanced imaging system. Large, open-ended team project. Engineering management and businesspeople will share their experiences in discussion with students. EE 203. Optical amplifiers: gain, saturation, noise. Electromagnetic Waves. 3-4 Units. Topics Include: Economics of solar energy. 3-4 Units. Areas: fault-tolerant systems, design for testability, production testing, and system reliability. Formerly EE 152. Optical Methods in Engineering Science. 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. Final report required. The Department of Electrical Engineering supports Black Lives Matter. Prerequisite: Electromagnetic theory at the level of 242. The department also offers joint degrees in Electrical Engineering and Law (M.S./J.D.) Though the ideas have broad impact, the course is widely accessible to engineering and science students with only basic linear algebra and calculus through simple ordinary differential equations as mathematics background. Syllabus topics will be determined by the needs of the enrolled students and projects. 3-4 Units. Prerequisite: EE 101B. Topics include creating the models of typical components in electronic circuits and simplifying non-linear models for restricted ranges of operation (small signal model); and using network theory to solve linear and non-linear circuits under static and dynamic operations. A computer and an Internet connection are all you need. The course introduces the architecture of Self-Programming Networks for sensing, inferring, learning and control, consisting of (i) a "reflex layer" for inferring at line rate and at scale, and (ii) a "deliberate layer" for efficient resource scheduling and network control. See ee264.stanford.edu for more information. The second part will cover finite-difference time-domain (FDTD) computation and introduce students to commercial FDTD software. Relations and applications to probability, statistics, machine learning, biological and artificial neural networks, genomics, quantum information, and blockchains. The projection-slice and layergram reconstruction methods as developed in radio interferometry. 4 Units. Regression and classification. It builds upon a wealth of techniques but modifies and applies them to cases of interest to the technical art community. The master’s degree program may provide advanced preparation for professional practice or for teaching at the junior college level. EE 469B. Individual or team activities may involve lab experimentation, design of devices or systems, or directed reading. Receivers: high-impedance, transimpedance, bandwidth, noise. EE 356B. Enrollment limited to 30. Same as: PHOTON 329. EE 284. During the fall, we'll build a system that improves on current systems in certain areas: audio quality and latency over spotty Internet connections, video quality and realistic composited scenes with multiple actors, audience feedback, and perhaps digital puppetry. The focus is on group IV semiconductors ¿ especially epitaxial and heteroepitaxial deposition, in which the crystal structure of the depositing layer is related to that of the substrate. Distinguished speakers from industry, government, and academia. To have a taste of a modified approach to learning Electrical Engineering, Stanford University is ideal. Students must complete a minimum of 23-25 units, as follows: Students with undergraduate degrees in physics, mathematics, or related sciences, as well as in various branches of engineering, are invited to apply for admission. Monotone operators and proximal methods; alternating direction method of multipliers. Scs ) Cardinal courses pathways ( but not required: least-squares approximations of over-determined equations, pumping schemes: 40... Wireless transmissions, oil and gas, data centers, and interference or any combination disciplinary. 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