Control, reachability, and state transfer; observability and least-squares state estimation. By the end of the quarter students will feel comfortable independently designing and manufacturing simple assemblies to serve useful functions in their lives. Characteristics of wireless communication: multipath, noise, and interference. Networked embedded systems are often hidden from our view, but they are a key component that enables our modern society. Analysis and design of analog integrated circuits in advanced MOS and bipolar technologies. 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. 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. If a student wishes to change their program advisor, they may contact the Degree Progress Officer to initiate the formal process of changing advisor. It provides working knowledge of the key technologies in Electronic Design Automation (EDA), focusing on synthesis, placement and routing algorithms that perform the major transformations between levels of abstraction and get a design ready to be fabricated. Integrating electronics with sensing, stimulation, and locomotion capabilities into the body will allow us to restore or enhance physiological functions. This course will be an introduction to solar photovoltaics. The discrete Fourier transform and the FFT algorithm. Physical concepts and phenomena for surface science techniques probing the electronic and chemical structure of surfaces, interfaces and nanomaterials. Electrical Engineering is a very broad, flexible major. Methods for synchronizing clocks across a large data center and using this to reconstruct the fine details of network performance (queue-depths, link utilizations and buffer and link compositions) in near real-time will be presented. Least-squares, linear and quadratic programs, semidefinite programming, and geometric programming. 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. Entrepreneurship in Asian High Tech Industries. 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. Topics in International Technology Management. Signal Processing and Linear Systems I. 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. Lectures/discussions on topics of importance to the electrical engineering professional. © 2020-21 Stanford University. EE 290D. EE 251. Electrical and electronic devices—realized in both hardware and software—are integral to daily life, whether in the home, in health care, in recreation, or in the infrastructure for communication and computation. One of the two faculty members must either have a full or joint appointment in the Electrical Engineering department. 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. This faculty member provides initial guidance in course selection, in exploring academic opportunities and professional pathways, and in identifying doctoral research opportunities. Thesis and Thesis Research. Stanford, Independent work under the direction of a department faculty. This is a follow on course to EE272A. Prerequisites: CS110 or EE102A. Topics: properties of digital images, design of display systems and algorithms, time and frequency representations, filters, image formation and enhancement, imaging systems, perspective, morphing, and animation applications. Formerly EE 292J. Micro-ring resonators. Design of high-performance digital systems, the things that cause them to fail, and how to avoid these problems. Harmonic generation; frequency conversion; parametric amplification and oscillation; electro-optic light modulation. Laboratory experiments. The role of entropy and mutual information in data compression, communication, and inference. Taught in the Stanford Nanofabrication Facility (SNF). EE 185. EE 21N. EE 142. EE 278. Syllabus topics will be determined by the needs of the enrolled students and projects. Consensus protocols are at the core of distributed systems to enable nodes to agree on a common record of history. This seminar will explore how much information you broadcast throughout your day, and how it can easily be received and decoded using inexpensive hardware and public domain software. Image Processing of Fine Art. Signal Processing for Machine Learning. Introduction to Internet of Things. 3 Units. Students may petition to have either PHYSICS 65 or the combination of PHYSICS 45 and PHYSICS 70 count as an alternative to EE 65. Nonparametric regression. Prerequisites: EE 102A and EE 102B or equivalent, basic programming skills (Matlab and C++). Analog Communications Design Laboratory. Prerequisite courses ordinarily taken by undergraduates may be included as part of the graduate program of study. Prerequisites: 108B, and CS 106B or X. EE 114. 1 Unit. 3 Units. Students may select electives from the disciplinary areas; from the multidisciplinary elective areas; or any combination of disciplinary and multidisciplinary areas. EE 102B. We will also explore the trade-offs involved in selecting among the different circuits used to convert ac to dc, dc to ac and back to dc over a wide range of power levels suitable for different applications. The Fourier transform as a tool for solving physical problems. Preference to freshman. You can now take Master’s degree courses in EE from the Stanford School of Engineering without the commitment of undertaking a full Master’s degree. Prerequisites: MATH 52 and 53, EE 65 or PHYSICS 65 (or PHYSICS 43 and 45). EE 15N. The specific training and units of credit received are to be defined in consultation with one of the official instructors of EE 195. DSP architecture design. Modulators: electro-optic, electro-absorption. The profession of electrical engineering demands a strong foundation in physical science and mathematics, a broad knowledge of engineering techniques, and an understanding of the relation … Fundamental topics include energy storage and transfer via electrons and phonons, ballistic limits of current and heat, meso- to macroscale mobility and thermal conductivity. Free and forced waves; phase matching; slowly varying envelope approximation; dispersion, diffraction, space-time analogy. University requirements for the coterminal master’s degree are described in the “Coterminal Master’s Program” section. The tools of information theory have also found applications in many other fields, including probability and statistics, computer science and physics. Basic principles for endowing mobile autonomous robots with perception, planning, and decision-making capabilities. EE 108. EE 26N. Prerequisites: EE 236A and EE 242 or familiarity with differential form of Maxwell's equations. EE 323 examines energy in modern nanoelectronics, from fundamentals to systems. Recommended but not required: EE378A. Emerging Non-Volatile Memory Devices and Circuit Design. Prerequisites: EE261. Prerequisite: 222. Perovskite and silicon tandem cells. Class lectures will be supplemented by guest lectures from distinguished engineers, entrepreneurs and venture capitalists actively engaged in solar industry. Concepts and tools for continuous- and discrete-time signal and system analysis with applications in signal processing, communications, and control. Integrated photonic circuits. Convolutions and correlations and applications; probability distributions, sampling theory, filters, and analysis of linear systems. Working in teams, you will create a chip with a digital deep neural network (DNN) accelerator and a small analog block using a modern design flow and EDA tools. Introduction to Fourier Optics. Continuous-discrete-time signal conversion and quantization. Both the advisor and the advisee are expected to maintain professionalism, respect, and integrity. Labs involve the design of processor subsystems and processor-based embedded systems. Seminars by industry professionals in digital IC manufacturing test and silicon debug. Term project. What is Nanotechnology?. Same as: CS 349T. Independent work under the direction of a faculty member. Independent work under the direction of a faculty member; written report or written examination required. There is no EE COVID-19 exception for the EE-BSH program for AY 2020-21. Nyquist and oversampling A/D and D/A converters. 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. Wave nature of light; polarization, plane waves at interfaces and in media with varying refractive index, diffraction, Fourier Optics, Gaussian beams. Examples of CVD equipment are examined. Hebbian learning. Topics include: electronics (A/D, D/A converters, op-amps, filters, power devices); software program design, event-driven programming; hardware and DC stepper motors, solenoids, and robust sensing. Self- and cross-phase modulation, four-wave mixing. Helpful: basic computer graphics / OpenGL. The PDF will include all information unique to this page. 3 Units. Any EE majors who must enroll in Autumn are invited to contact the instructor. The research supervisor assumes primary responsibility for the future direction of the student, taking on the roles previously filled by the program advisor, and ultimately direct the student’s dissertation. This course explores what is possible in these new materials, and what the remaining challenges are for wide bandgap materials to find widespread market acceptance in power applications. Prerequisites: Linear algebra, basic probability (at the level of, say, CS109, CME106 or EE178) and "mathematical maturity" (students will be asked to write proofs). Analysis and design of circuits and circuit architectures for signal conditioning and data conversion. The Department of Electrical Engineering is committed to providing academic advising in support of doctoral student scholarly and professional development. This course will explore the theory and practice of randomized matrix computation and optimization for large-scale problems to address challenges in modern massive data sets. The topics that will be … IEEE 802.11 physical layer specifications: FHSS, DSSS, IEEE 802.11b (CCK), and 802.11a/g (OFDM). Prerequisite: Students must be currently enrolled in a MS or PhD engineering degree program. Students will be able to take courses with Satisfactory/Credit (S/CR) grades to count toward the EE degree requirements for all undergraduate degree programs. Prerequisites: EE114/214A. Prerequisite: EE 101A and EE 102A. 2020-21 Approved School of Engineering Breadth Courses These listed courses fulfill Math, Science, Technology in Society, and Engineering Fundamentals requirements for School of Engineering majors. The Department of Electrical Engineering (EE) at Stanford innovates by conducting fundamental and applied research to develop physical technologies, hardware and software systems, and information technologies; it educates future academic and industry leaders; and it prepares students for careers in industry, academia, and research labs. This course introduces students to various semiconductor memory devices: SRAM, DRAM and FLASH, that are used in today's memory subsystems. 1-15 Unit. Case studies of silicon failures. EE 355. EE 402T. Program. 3 Units. Topics include environment models, planning, abstraction, prediction, credit assignment, exploration, and generalization. Operating principles and practical device features of semiconductor optoelectronic materials and heterostructures. EE 179. Students in the EE B.S. Approaches for finding creative design solutions to problems with difficult specifications and hard requirements. Recommended: CS 140. Familiarity with finite fields will be helpful but not required. Prerequisites: EE 102A and EE 102B or equivalent, basic programming skills (Matlab). 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). This class is part of a multi-disciplinary collaboration between researchers in the CS, EE, and TAPS departments to design and develop a system to host a live theatrical production that will take place over the Internet in the winter quarter. Generalization from stability. Special Studies and Reports in Electrical Engineering. Finite-difference time-domain (FDTD) method and finite-difference frequency-domain (FDFD) method for solving Maxwell's equations. Prerequisite: EE101B. Optical Methods in Engineering Science. EE 279. Connections to neural networks, and neural tangent kernel. Required: EE101B, EE102A, EE108. Review of basic probability and random variables. 4 Units. 3 Units. 3 Units. EE 390. 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. Combinational logic design. 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. Sensitivity degradations: extinction ratio, intensity noise, jitter, dispersion. Same as: EE 214A. For details on program objectives and requirements, see the Handbook for Undergraduate Engineering … The lab component provides a hands-on opportunity to explore the application of DSP theory to practical real-time applications in an embedded processing platform. Prerequisites: EE102A is required. 1 Unit. Required: EE101B, EE102A, EE108. It will then study projection imaging systems (projection X-Ray), backprojection based systems (CT, PET, and SPECT), systems that use beam forming (ultrasound), and systems that use Fourier encoding (MRI). Curricular Practical Training for Electrical Engineers. Theme for Autumn 2020 is "Digital transformation among new and traditional industries in Asia." Prerequisites: PHYSICS 70 and MATSCI 199/209, or consent of instructor. The requirements for the EE Ph.D. Minor has not changed, and all courses, except for courses taken in Spring 2019-20, must be taken for a letter grade. Stanford Computer Science and Electrical Engineering are deeply interrelated disciplines, and numerous faculty members are jointly appointed in the two departments. For more information, see the Electrical Engineering Department Graduate Handbook (pdf). The new EE COVID-19 grading policy for this year with respect to the Satisfactory (S) and Credit (CR) grades counting toward the EE program requirements are stated below: For a statement of University policy on graduate advising, see the "Graduate Advising" section of this bulletin. This course will provide an advanced treatment of electromagnetic waves in free space and media. These techniques will then be used to design analog (AM and FM) and digital (PSK and FSK) communication systems and determine their performance over channels with noise and interference. Design Projects in VLSI Systems I. Microcode control. Numerical Electromagnetics. Interest in the program should be noted on a student's application to each academic unit. Multichannel systems. degree in EE combined with a J.D. Read more.. EE Student Information, Spring Quarter through Academic Year 2020-2021: FAQs and Updated EE Course List. Online game playing, gambling, no-regret learning. Special Studies and Reports in Electrical Engineering. 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. EE 235. Prerequisites: EE276 (Formerly EE376A). EE 292D. Course prerequisites: EE 185A as well as CS107, CS107E or instructor approval. Natural hazards, earthquakes, volcanoes, floods, hurricanes, and fires, and how they affect people and society; great disasters such as asteroid impacts that periodically obliterate many species of life. The Entrepreneurial Engineer. Seminar Series for Image Systems Engineering. Transverse and longitudinal mode control and tuning. Modulation: linear, differential and orthogonal methods; signal spaces; power spectra; bandwidth requirements. Prerequisites: 242, 236C. The Department of Electrical Engineering and the Graduate School of Business offer a joint degree program leading to an M.S. Final report required. Topics include power converter topologies, periodic steady-state analysis, control, motors and drives, photovol-taic systems, and design of magnetic components. Asymptotic performance versus convergence rate. How spaceborne imaging technology makes it possible to respond quickly and mitigate consequences; how it is applied to natural disasters; and remote sensing data manipulation and analysis. Freshman and Sophomore seminars. Prerequisite: linear algebra such as EE263, basic probability. Undergraduates must take EE 114 for 4 units. Students are required to advance to candidacy prior to the end of their second year in the graduate program. 3-4 Units. Same as: AA 174A, AA 274A, CS 237A. 3 Units. Prerequisites: 179 or 261, and 178 or 278. Ph.D. students are initially assigned a program advisor on the basis of the interests expressed in their application. Formerly EE 232. Robustness to outliers. On the micro level, we are exploring energy efficient devices, power electronics, system architectures, and network protocols, as well as ways to harvest energy from the environment for wearable devices and the Internet of things. These learning outcomes are used in evaluating students and the department's undergraduate program. ), 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. Time, subcarrier, code and polarization-division multiplexing. Prerequisite: ENGR 21 or ENGR 40M or EE 122A or CS 106B or consent of instructor. Computer ray tracing program as a design tool. More importantly you will have experienced the challenge (and fun) of designing, carrying out and presenting your own experimental project. Engineering, Entrepreneurship & Climate Change. 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. Fundamentals of circuit simulation. The doctoral program, requiring a minimum of 135 units of graduate study, should be considered by those with the ability and desire to make a life's work of research or teaching. They will also fabricate and demonstrate their Smart Object by the end of the Quarter. Data Science for High Throughput Sequencing. Information Science and Engineering. When most effective, this advising relationship entails collaborative and sustained engagement by both the advisor and the advisee. High-Frequency Circuit Design Laboratory. 1 Unit. Prerequisites: EE153/EE253. Attend poster and oral presentation held at the end of Spring Quarter or present in another suitable forum approved by the faculty advisor. 1 Unit. This course will introduce you to fundamental signal processing concepts and tools needed to apply machine learning to discrete signals. Wireless Information Theory. 3 Units. Analog and Digital Communication Systems. In this class, students will learn about how to build an networked embedded system from the ground up. What is information? Waveguide mode analysis. The world is increasingly based on wireless communication. Embedded Networked Systems. Courses offered by the Department of Electrical Engineering are listed under the subject code EE on the Stanford Bulletin's ExploreCourses web site. Prerequisites: Equivalent coursework in thermodynamics, electronic properties, chemical principles, electricity, and magnetism. Kovacs*, Marc Levoy, Albert Macovski, Malcolm M. McWhorter, Teresa Meng, R. Fabian W. Pease, Leonard Tyler, Robert L. White, Bernard Widrow, Bruce A. Wooley, Yoshihisa Yamamoto; (Associate Professors) John T. Gill III, Bruce B. Lusignan; (Professors, Research) Antony Fraser-Smith*, C. Robert Helms, Leonid Kazovsky, Ingolf Lindau*, David Luckham, Yoshio Nishi, Arogyaswami J. Paulraj, Associate Chairs: John Pauly (Undergraduate Education), Brad Osgood (Graduate Education), Howard Zebker (Admissions), Academic Affairs Committee Chair: Joseph M. Kahn, Director of Graduate Studies: Brad Osgood, Professors: Nicholas Bambos, Kwabena Boahen, Dan Boneh, Stephen P. Boyd, Robert W. Dutton, Abbas El Gamal, Shanhui Fan, Bernd Girod, Patrick Hanrahan, John L. Hennessy, Lambertus Hesselink, Mark A. Horowitz, Roger T. Howe, Joseph M. Kahn, Christoforos E. Kozyrakis, Sanjay Lall, Thomas H. Lee, Nick McKeown, David A. Analytical Methods in Biotechnology. 3 Units. Filtering and analog to digital conversion. The first part of the course will cover reflection, refraction, resonators, photonic crystals, and waveguides. Included are all vectored designs (MIMO, massive MIMO, SIMO, MISO) and methods to design and adapt both transmitter and receiver to variable channels. This course is approved for satisfying the MSEE Depth Sequence on Communication and Networking. 1-2 Unit. For EE majors who need work experience as part of their program of study. Z transforms, applications in infinite impulse response filter design. Magnetic resonance imaging (MRI) and spectroscopy (MRS) based on the use of radio frequency pulses to manipulate magnetization. Engineering a Smart Object - Specifications and Embedded Design. Quadratic performance functions, their eigenvectors and eigenvalues. 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. This is a project-based class where students will learn how to develop machine learning models for execution in resource constrained environments such as embedded systems. Modern semiconductor devices and integrated circuits are based on unique energy band, carrier transport, and optical properties of semiconductor materials. Integrated Circuit Fabrication Processes. Structure and components of computer networks; functions and services; packet switching; layered architectures; OSI reference model; physical layer; data link layer; error control; window flow control; media access control protocols used in local area networks (Ethernet, Token Ring, FDDI) and satellite networks; network layer (datagram service, virtual circuit service, routing, congestion control, Internet Protocol); transport layer (UDP, TCP); application layer. For upper division students, a 200-level seminar in their disciplinary area will be accepted, on petition. Basic knowledge of semiconductors, transistors, and Matlab (or similar) are recommended. This course covers principled and scalable approaches to realizing a range of intelligent learning behaviors. Electrical Engineering Instruction. This is a completely project-based course where, working in teams, you will propose your own mixed-signal chip, write a Verilog or a synthesizable C++ model of your chip, create a testing/debug strategy for your chip, wrap custom layout to fit into a standard cell system, use synthesis and place and route tools to create the layout of your chip, perform physical verification of your chip and finally tape it out. This is a seminar course with invited speakers. Prerequisite: CS107 (or equivalent). Raman amplifiers, lumped vs. distributed amplification. EE 190. Information Theory and Statistics. Maxwell's equations, constitutive relations. Fabrication, simulation, and testing of a submicron CMOS process. Prerequisites: familiarity with linear algebra (ENGR 108 or equivalent), basic probability and statistics (EE 178 or equivalent), basic programming skills. The focus will then shift to design of media access control and routing layers for various wireless systems. Resonant converter are found in high performance applications where high control bandwidth and high power density are required. 3 Units. 3 Units. The course will start with an introduction to multi-dimensional Fourier transforms, and image quality metrics. 3 Units. EE 185B. Sensor interfaces for micro-electromechanical and biomedical applications. Overview. Prerequisites: EE 276 (or equivalent) or STATS 300A. Photonics, optical components, and fiber optics. Adding energy both thermally and by using a plasma is discussed; atomic-layer deposition is briefly considered. Approximation of (Bayes) optimalnprocedures, surrogate risks, f-divergences. IEEE 802.16 (WiMAX) network architecture and protocols: Physical Layer (OFDMA) and Media Access Control Layer. How can we reliably communicate and store it over media prone to noise and errors? 3 Units. We will also explore practical design issues and trade off in selecting converter topologies in high performance applications. 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