Enrollment limited to 30. Emphasis is on applications in modern devices and systems. EE 315. Final report required. Based on the success of class projects and subsequent needs, some students may be invited to continue in the winter term with a research appointment (for pay or credit) to operate the system you have built and instruct actors and creative professionals how to work with the system through rehearsals and the final performance before spring break. Advanced Optical Fiber Communications. Prerequisite: Electromagnetic theory at the level of 242. EE 293. 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 a basic understanding of electrical … The world is increasingly based on wireless communication. Technologies involved in mechatronics (intelligent electro-mechanical systems), and techniques to apply this technology to mecatronic system design. 3 Units. 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. Advanced energy conversion concepts like photon up-conversion, quantum dot solar cells. 3 Units. Advanced techniques and models of MOS devices and back-end (interconnect and contact) processing. Same as: CS 349T. The educational objectives of the program are: University regulations governing the M.S. Introduction to electromagnetism and Maxwell's equations in static and dynamic regimes. Students who do not advance to candidacy by the end of their second year will be dismissed from the Ph.D. program for failure to progress. Convex relaxations of hard problems. Applications of today's embedded systems range from stabilization in drones authentication in credit cards, and even temperature control in toasters. Magnetics Design in Power Electronics. Classical numerical linear algebra can be prohibitively costly in many modern problems. 3 Units. EE 385A. 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 relationship between technology and society. 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). EE 355. MATH 53 may be replaced by CME 102. and Electrical Engineering and Business Administration (M.S./M.B.A.). Many high-throughput sequencing based assays have been designed to make various biological measurements of interest. degree in EE combined with a J.D. The Department of Electrical Engineering (EE) offers courses in the following areas: Biomedical Sensing and Imaging. EE 42. Massive data sets are now common to many different fields of research and practice. EE Student Information, Spring Quarter through Academic Year 2020-2021: Integrated Circuits and Power Electronics, Photonics, Nanoscience and Quantum Technology, Tom Soh and collaborators create device that could transform medical diagnostics, Stephen Boyd’s CVXGEN software helps guide SpaceX Falcon, Gordon Wetzstein, Shanhui Fan, and David A. EE 290B. EE 369A. 1 Unit. Random features approximations to kernel methods. EE 278. Detailed requirements and instructions are in the Handbook for Graduate Students in Electrical Engineering at Stanford University ( http://ee.stanford.edu/gradhandbook ). Learning algorithms for adaptive digital filters. 3-4 Units. Previous guests include: Jon Rubinstein (NeXT, Apple, Palm), Diane Greene (VMware), and Ted Hoff (Intel). DSP architecture design. The disciplines can be grouped into three overlapping and interrelated areas: EE faculty collaborate with researchers from other departments and schools across campus. Prerequisite: 101B. A student currently enrolled in either the Department of Electrical Engineering or the School of Law may apply for admission to the other academic unit and for joint degree status after commencing study in that unit. Applied Quantum Mechanics I. Modulators: electro-optic, electro-absorption. The class teaches cutting-edge optimization and analysis algorithms for the design of complex digital integrated circuits and their use in designing machine learning hardware. Three- and four-level systems, rate equations, pumping schemes. 3-4 Units. EE 134. Master's Thesis and Thesis Research. The program includes a balanced foundation in the physical sciences, mathematics and computing; core courses in electronics, information systems and digital systems; and develops specific skills in the analysis and design of systems. 3 Units. 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. MATH 51 may be replaced by MATH 52. In this course, we will study the design of Resonant converters which are capable of operating at higher frequencies than their 'hard-switch' counterparts. 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. Asymptotic performance versus convergence rate. Electrostatics and magnetostatics: Gauss's, Coulomb's, Faraday's, Ampere's, Biot-Savart's laws. 1 Unit. For WIM credit, students must enroll in EE 153 for 4 units. Copyright Complaints EE at Stanford has changed the world. 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. The course also covers applications of DSP in areas such as speech, audio and communication systems. Formerly EE 292J. Prerequisites: semiconductor devices and solid state physics such as EE 216 or equivalent. Communications skills—develop the ability to organize and present information and to write and speak effective English. 3 Units. The dissertation advisor must be a member of the Academic Council. More importantly you will have experienced the challenge (and fun) of designing, carrying out and presenting your own experimental project. In this class we will discuss the design and modeling of magnetic components, which are essential tasks in the development of high performance converters and study advanced applications. To major in Electrical Engineering (EE), undergraduates should follow the requirements below. If used for math, ENGR 108 may not be used as an EE disciplinary elective. 1 Unit. Topics covered include energy budgeting, communication, enclosure design, scalability, timing, circuit design, structural design, and safety. Sequential logic design and timing analysis. Reconstruction problems from medical imaging, including magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET). The course will also introduce students to recent in-memory computing research using these memory technologies. EE 308. How are modern devices and circuits fabricated and what future changes are likely? Basic knowledge of semiconductors, transistors, and Matlab (or similar) are recommended. Integrating electronics with sensing, stimulation, and locomotion capabilities into the body will allow us to restore or enhance physiological functions. 5 Units. Statistical Signal Processing. Applying for financial assistance is part of the admission application. Taught in the Stanford Nanofabrication Facility (SNF). Same as: MATSCI 346. Topics in International Technology Management. Prerequisites: EE 116 or equivalent. Introduction to Photonics. By the end of the quarter students will feel comfortable independently designing and manufacturing simple assemblies to serve useful functions in their lives. An introduction to electric motors and the principles of electromechanical energy conversion. EE 178. Various sensing and inference algorithms for deriving insights and alerts from the sensed data will be discussed. No exceptions. Experimental characterization of semiconductor lasers, optical fibers, photodetectors, receiver circuitry, fiber optic links, optical amplifiers, and optical sensors and photonic crystals. The current parallel computing research emphasizes multi-cores, but there are alterna-tive array processors with significant potential. 3 Units. Principles of Robot Autonomy II. 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). Electromagnetic phenomena at the nanoscale. Admission to a graduate program does not imply that the student is a candidate for the Ph.D. degree. EE 368. CMOS logic circuits. Pre-requisites: none. Curricular Practical Training for Electrical Engineers. Prerequisites: for 290B, EE MS and PhD students who have received a Satisfactory ("S") grade in EE290A; for 290C, EE PhD degree candidacy and an "S" grade in EE 290B; for 290D, EE PhD degree candidacy, an "S" grade in EE 290C and instructor consent; for 290E, EE PhD degree candidacy, an "S" grade in EE 290D and instructor consent. Information theory forms the basis for the design of all modern day communication systems. Interaction of dispersion and nonlinearity, dispersion maps. Signal Processing and Linear Systems I. Topics include environment models, planning, abstraction, prediction, credit assignment, exploration, and generalization. No courses taken prior to the first quarter of the sophomore year may be used to meet master’s degree requirements. Familiarity with finite fields will be helpful but not required. EE 238. Introduction to Machine Learning. Undergraduate Handbook. Information theoretic techniques in probability and statistics. The seminar will consist of a series of lectures. Carrier generation, transport, recombination, and storage in semiconductors. Prerequisite: MATH 53 or CME 102. However, the research advisor may be a faculty member from another Stanford department who is familiar with supervising doctoral students and able to provide both advising and funding for the duration of the doctoral program. Fundamentals of Analog Integrated Circuit Design. Solar system issues including module assembly, inverters, micro-inverters and microgrid. Through lectures and lab visits, we'll learn how information can be measured and represented, why bits are the universal currency for information exchange, and how these ideas led to smartphones, the Internet, and more. EE 392E. There is no thesis requirement. Lab. Current research papers in the open literature. Prerequisites: EE276 (Formerly EE376A). Students may take the course for 1, 2, or 3 quarters; each quarter focuses on a different phase of the project. Performance evaluation using computer-aided design tools. Confidence intervals. The Stanford Electrical Engineering … Minimum 60 units comprised of: Engineering Fundamentals (minimum 10 units), Core Electrical Engineering Courses (minimum 16 units) Disciplinary Area (minimum 17 units), Electives (maximum … Prerequisites: Linear algebra and matrices as in ENGR 108 or MATH 104; ordinary differential equations and Laplace transforms as in EE 102B or CME 102. Random vectors and processes; convergence and limit theorems; IID, independent increment, Markov, and Gaussian random processes; stationary random processes; autocorrelation and power spectral density; mean square error estimation, detection, and linear estimation. 3 Units. Prerequisite: ENGR 21 or ENGR 40M or EE 122A or CS 106B or consent of instructor. Prerequisite: EE 108. 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 class covers physical principles of semiconductors, including silicon and new material discoveries, quantum effects, band theory, operating principles, and device equations. Course prerequisites: EE 185B or instructor approval. On the macro level, electronic loads, such as data centers, smart appliances, and electric vehicles, are poised to overtake traditional industrial loads in consumption share. The Department of Electrical Engineering is committed to providing academic advising in support of doctoral student scholarly and professional development. Power Semiconductor Devices and Technology. EE 392K. The degree of Master of Science is offered under the general regulations of the University. On-site visits to Silicon Valley companies to showcase their design processes will also be part of the course. Electrodynamics: Wave equation; Electromagnetic waves; Phasor form of Maxwell's equations.nSolution of the wave equation in 1D free space: Wavelength, wave-vector, forward and backward propagating plane waves.Poynting's theorem. Examples of CVD equipment are examined. No exceptions. EE 60N. Topics: least-squares approximations of over-determined equations, and least-norm solutions of underdetermined equations. For upper division students, a 200-level seminar in their disciplinary area will be accepted, on petition. Expectation; mean, variance and covariance, linear MSE estimation. Superprism effects. In Advanced Topics in Power Electronic, as a multidisciplinary field, we will discuss power electronics circuits, extraction of transfer functions in Continuous and discontinuous conduction mode, voltage and current control of power converters, design of input/output filters to meet Electro Magnetic Interference specifications, layout of power electronics circuits and put this knowledge in a very practical context. EE 102B. EE 327. Wavelength-division multiplexing components: filters, multiplexers. Prerequisites: EE364A or equivalent; Stat310A or equivalent. The seminar features guest lectures from the industry. Useful for anyone who will build a chip in their Ph.D. Pre-requisites: EE271, EE272A and experience in digital/analog circuit design. The specific training and units of credit received are to be defined in consultation with one of the official instructors of EE 195. Device operation and compact modeling in support of circuit simulations needed for design. Most of the grade will be based on the project. Formerly EE231. Advancement to candidacy requires superior academic achievement, satisfactory performance on a qualifying examination, and sponsorship by two faculty members. This course is approved for satisfying the MSEE Depth Sequence on Communication and Networking. Topics include: Schrödinger's equation, eigenfunctions and eigenvalues, solutions of simple problems including quantum wells and tunneling, quantum harmonic oscillator, coherent states, operator approach to quantum mechanics, Dirac notation, angular momentum, hydrogen atom, calculation techniques including matrix diagonalization, perturbation theory, variational method, and time-dependent perturbation theory with applications to optical absorption, nonlinear optical coefficients, and Fermi's golden rule. 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. Other topics in electronics, optoelectronics, optics, and quantum information science. Tools for analysis and optimization of iterative coding systems. In homeworks, the Robot Operating System (ROS) will be used extensively for demonstrations and hands-on activities. System impulse and step responses. Distinguished guest speakers and panels from industry discuss approaches in Asia to data-driven business models, influencer marketing, DevOps for new AI solutions, data privacy and security, new value chain relationships, etc. The term papers will include a short project that may require simulation to conduct device design and analysis. 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. Communication Systems. Modalities covered: x-ray, computed tomography, and nuclear medicine. Both the advisor and the advisee are expected to maintain professionalism, respect, and integrity. The topics include: mathematical models for discrete-time signals, vector spaces, Fourier analysis, time-frequency analysis, Z-transforms and filters, signal classification and prediction, basic image processing, compressed sensing and deep learning. The focus will then shift to design of media access control and routing layers for various wireless systems. Great products emerge from a sometimes conflict-laden process of collaboration between different functions within companies. Analysis and design of circuits and circuit architectures for signal conditioning and data conversion. 1-15 Unit. Prerequisite: EE108B. Final report required. I-AI applications are mission critical with large cost of error compared to AI apps for the Internet of People. Lectures/discussions on topics of importance to the electrical engineering professional. Seminar Series for Image Systems Engineering. EE 64SI. EE 377. Generalization in machine learning, the classical view: uniform convergence, Radamacher complexity. Required: EE101B, EE102A, EE108. Group-velocity dispersion management: dispersion-compensating fibers, filters, gratings. Prerequisite courses ordinarily taken by undergraduates may be included as part of the graduate program of study. EE 207. Students may select their Design course from any Disciplinary Area. Recommended: familiarity with Linux, C++, and Git. The Electrical Engineering Department at Stanford University invites undergraduates majoring in EE to participate in its REU Summer Program from June through August. This is done through course work providing specialization in one area of Electrical Engineering and breadth in several other areas. The PDF will include all information in the catalog. Biochips and Medical Imaging. Photonics, optical components, and fiber optics. The architecture and design of interconnection networks used to communicate from processor to memory, from processor to processor, and in switches and routers. Meta-materials. EE 100: The Electrical Engineering Profession Lectures/discussions on topics of importance to the electrical engineering professional. Receivers: high-impedance, transimpedance, bandwidth, noise. Routing in mobile networks: Mobile IP, Mobile Ad Hoc Networks (MANET), Wireless Mesh Networks. The course provides a unified overview of this recent progress made in information theory of wireless networks. in EE degree: The Department of Electrical Engineering and the School of Law offer a joint degree program leading to an M.S. Prerequisites: No prerequisites needed for taking the course for 1 unit. EE 195. Z transforms, applications in infinite impulse response filter design. The requirements for the. Finally, the use of high-density plasmas for rapid gap filling is contrasted with alternative CVD dielectric deposition processes. See ee264.stanford.edu for more information. Concepts and tools for continuous- and discrete-time signal and system analysis with applications in communications, signal processing and control. Boundary conditions. The program includes a balanced foundation in the physical sciences, mathematics and computing; core courses in electronics, information systems and digital systems; and develops specific … The instructors will cover relevant background materials in the in-between weeks. Design Projects in VLSI Systems I. All students and faculty in the Department are welcome to attend. Same as: CEE 292X. EE 292A. This course is not a crash course on climate change or policy. The first half of the course covers learning algorithms that automatically synthesize network configurations to perform a desired computation on a given heterogeneous neural substrate. This policy is valid in all six quarters from Spring Quarter 2019-20 through Summer Quarter 2020-21. Quadratic performance functions, their eigenvectors and eigenvalues. VLSI Signal Processing Architectures. Android); multi-homed mobile networking, associated data communication and mobile resource trade-offs, and system implementation in smartphones and Android devices. High-level transformations: pipelining, retiming, folding, systolic array design, complexity reduction in convolution and parallel digital filters. Graduate study in electrical engineering demands that students be adequately prepared in areas such as circuits, digital systems, fields, lab work, mathematics, and physics. Topics covered include devices based on new nanomaterials such as carbon nanotubes, semiconductor nanowires, and 2D layered materials such as graphene; non-FET based devices such as nanoelectromechanical (NEM) relay, single electron transistors (SET) and resonant tunneling diodes (RTD); as well as FET-based devices such as tunnel FET. 3 Units. Special focus will be given to the key building blocks of sensors, processing elements and wired/wireless communications, as well as their foundations in semiconductor technology, SoC construction, and physical assembly as informed by the SystemX Focus Areas. For additional information and sample programs see the Handbook for Undergraduate Engineering Programs (UGHB). Topics: geometrical optics; aberration theory; systems layout; applications such as microscopes, telescopes, optical processors. has not changed, and all courses, except for courses taken in Spring 2019-20, must be taken for a letter grade. Introduction to Bioimaging. 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. 3 Units. Integrated Circuit Fabrication Laboratory. Same as: CEE 272T. Comparison of detection techniques: noncoherent, differentially coherent, coherent. Required: EE101B, EE102A, EE108. When a course is offered for an optional letter/CR-NC grading basis, students are encouraged to take that course for a letter grade when they feel comfortable in doing so. Recommended: EE114/214A. Prerequisites: EE 216 or EE 218. Students will be able to take courses with Satisfactory/Credit (S/CR) grades to count toward the EE degree requirements for all graduate degree programs. We will add an essential ingredient of a Smart Object - connectivity and learn about how this effects system design. Recommended (but not required) co-requisite: EE 65 or equivalent. The … This course aims to raise the interest of senior undergraduate students and junior graduate students to the area of wireless from communication, gesture detection, power delivery to radar applications. Inference, Estimation, and Information Processing. Differential circuits, frequency response, and feedback will also be covered. This is an advanced topics course on building autonomous networks using data and techniques from machine learning. 3 Units. Conceptual and mathematical tools for design and analysis of optical communication, sensor and imaging systems. Physical concepts and phenomena for surface science techniques probing the electronic and chemical structure of surfaces, interfaces and nanomaterials. Basic principles for endowing mobile autonomous robots with perception, planning, and decision-making capabilities. The degree of Doctor of Philosophy is offered under the general regulations of the University. FPGA optimization techniques. Laplace transforms, applications in circuits and feedback control. The lecturers from technology (e.g., computing) companies, consultancies, AI vendors, OEMs, and end users of the I-AI will discuss business and 'big picture' technical issues. 3 Units. Same as: STATS 311. 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