Biochips and Medical Imaging. EE 124. Topics include: discrete-time random signals; sampling and multi-rate systems; oversampling and quantization in A-to-D conversion; properties of LTI systems; quantization in fixed-point implementations of filters; digital filter design; discrete Fourier Transform and FFT; spectrum analysis using the DFT; parametric signal modeling and adaptive filtering. Prerequisite: 236C. Introduction to Internet of Things. EE 369B. Advanced techniques and models of MOS devices and back-end (interconnect and contact) processing. Scattering matrix description of passive optical devices, and constraints from energy conservation, time-reversal symmetry and reciprocity. The student and principal advisor must also identify another faculty member, who need not be in the Department of Electrical Engineering, to serve as a secondary advisor and reader for the research report. Detail view of "Squared [Mini]", an interactive light sculpture by Charles Gadeken, "McWay Falls", black & white photo by Dashiell Corbett [partial image]. For EE majors who need work experience as part of their program of study. The School of Engineering is home to 10 departmental and six interdepartmental major programs. Classical numerical linear algebra can be prohibitively costly in many modern problems. Numerical algorithms for smooth and equality constrained problems; interior-point methods for inequality constrained problems. Basic concepts of statistical decision theory; Bayes decision theory; HMMs and their state estimation (Forward--backward), Kalman as special case, approximate state estimation (particle filtering, Extended Kalman Filter), unknown parameters; Inference under logarithmic loss, mutual information as a fundamental measure of statistical relevance, properties of mutual information: data processing, chain rules. Students are required to advance to candidacy prior to the end of their second year in the graduate program. The research adviser must be a member of the Academic Council and must hold an appointment in Electrical Engineering. Hands-on programming assignments. It builds upon a wealth of techniques but modifies and applies them to cases of interest to the technical art community. 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. 3 Units. Example vertical industries are energy, transportation, oil and gas, data centers, and manufacturing. Directed information. Same as: EALC 402T, EASTASN 402T. Students also simulate the CMOS process using process simulator TSUPREM4 of the structures and electrical parameters that should result from the process flow. 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. Topics include: basic parameters to describe the performance and characteristics of an antenna, link budget analyses, solving the fields from a Hertizian dipole, duality, equivalence principle, reciprocity, linear wire antenna, circular loop antenna, antenna array, slot and patch antennas, helical antennas, wideband antennas, size reduction techniques, wideband small antennas, and circularly polarized (CP) small antennas. Same as: CME 364A. IEEE 802.11 network architecture: ad hoc and infrastructure modes, access point functionality. Prerequisite: a first undergraduate course in probability. 1 Unit. Projects that provide immediate and positive impact on the world. Introduction to electromagnetism and Maxwell's equations in static and dynamic regimes. EE 277. Prerequisite: Electromagnetic theory at the level of 242. 3 Units. Same as: AA 174A, AA 274A, CS 237A. This first course focuses on building an object to specification. Electric and magnetic field energy. 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. This course studies recently proposed solutions to resolve these drawbacks and achieve: 1) throughput scalability; 2) fast confirmation; 3) finality and accountability; 4) energy efficiency and decentralization. EE 118. Laboratory and design skills—develop the basic skills needed to perform and design experimental projects. In this course, we will study the practical issues related to the practical design of power electronic converters. Finally, graduate students are active contributors to the advising relationship, proactively seeking academic and professional guidance and taking responsibility for informing themselves of policies and degree requirements for their graduate program. Optical micro- and nano-cavities and their device applications. What is information? In lieu of a final exam, students will perform a group project demonstrating theoretical and application proficiency in a topic of their choosing. Discrete universal denoising. Same as: CS 448I. Students will learn the use of neural networks and learning techniques (a) to accelerate inference and control algorithms, (b) for "workload fingerprinting", (c) for predicting wireless link capacities, and (d) for scheduling resources. Introduction to Photonics. Continuing education, professional societies, intellectual property and patents, ethics, entrepreneurial engineering, and engineering … Same as: ENERGY 293B. The second part of each lecture will consist of outside speakers, including founders of some of the most exciting companies in Silicon Valley, who will share their experiences about engineering design. Prerequisites: EE 213 and EE 271, or consent of instructor. Recommended: EE 212. Photonic crystal fibers. The dissertation advisor must be a member of the Academic Council. EE 116. Students need to declare honors on Axess. California Final project consists of computer animations incorporating techniques learned in class. 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. a final course project and written report in lieu of the final assignment. Prerequisite: EE101B. 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). Combinational logic design. For WIM credit, students must enroll for 4 units. Conditional expectation; iterated expectation, MSE estimation, quantization and clustering. Multi-input/multi-output systems, impulse and step matrices; convolution and transfer-matrix descriptions. In-depth discussion on cancer and cardiovascular diseases and the role of diagnostics and nano-therapies. EE 108. For upper division students, a 200-level seminar in their disciplinary area will be accepted, on petition. 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