This course covers principled and scalable approaches to realizing a range of intelligent learning behaviors. This Seminar seeks to demystify this process via case-studies of successful products and companies. Students are required to advance to candidacy prior to the end of their second year in the graduate program. Medical Image Reconstruction. This course will discuss the circuits used to efficiently convert ac power to dc power, dc power from one voltage level to another, and dc power to ac power. EE 316. 3 Units. Course requirements include project. Many programs offer several 4-year and flowchart plan options. Sample averages. Electrical Engineering has effected societal changes at the heart of the information revolution. It covers two major application areas: Cloud Computing Systems and Mobile Wireless Networks. Course prerequisites: EE 185A as well as CS107, CS107E or instructor approval. The Laboratory Course allows students to work hands-on with optical equipment to conduct five experiments that compliment the lecture course. Project-based course about how to measure, represent, and communicate information effectively. They should typically be able to complete the master’s degree in five quarters; note that many courses are not taught during the Summer. Prerequisite: 236A or equivalent. Electrical Engineering spans a diverse set of intellectual disciplines and applications. Prerequisites: EE 212, EE 216, or consent of instructor. 3 Units. Prerequisites: Basic knowledge of probability at the level of EE 178. Same as: CEE 292X. One course, see Basic Requirement 4 in the School of Engineering section. Ph.D. students are initially assigned a program advisor on the basis of the interests expressed in their application. Prerequisite: EE 142 or PHYSICS 120 or equivalent. Advanced Circuit Techniques. Engineering Electromagnetics. Sub-wavelength phenomena and plasmonic excitations. 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). Prerequisite: 282. Formulation of supervised and unsupervised learning problems. Classical numerical linear algebra can be prohibitively costly in many modern problems. Preparation for further study—provide sufficient breadth and depth for successful subsequent graduate study, postgraduate study, or lifelong learning programs. Course may be repeated for credit. EE 387. Current research papers in the open literature. Prerequisite: EE 101B. We will also cover topics such as interactions with system software, virtualization, solid state storage, and security. If used for math, ENGR 108 may not be used as an EE disciplinary elective. 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. Some programming experience. The course involves a hands-on laboratory and a substantial final project. Register in Section 02 to take the lab. The original theory was primarily point-to-point, studying how fast information can flow across an isolated noisy communication channel. Data Science for High Throughput Sequencing. Examples of CVD equipment are examined. Introduction to Linear Dynamical Systems. Introduction to electromagnetism and Maxwell's equations in static and dynamic regimes. Functional blocks of IoT systems: devices, communications, services, management, security, and application. Autonomous Implantable Systems. For additional information and sample programs see the Handbook for Undergraduate Engineering Programs (UGHB). Select one. 3 Units. EE 308. 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. EE 238. Meta-materials. Recommended: EE 212. Design of advanced analog circuits at the system level, including switching power converters, amplitude-stabilized and frequency-stabilized oscillators, voltage references and regulators, power amplifiers and buffers, sample-and-hold circuits, and application-specific op-amp compensation. EE 368. 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. 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. The Department of Electrical Engineering is committed to providing academic advising in support of M.S. 3 Units. 3 Units. Lectures series and invited talks on current trends in computing and communications, and ongoing initiatives for research and open innovation. Term project. Emphasis is on quantum mechanical foundations of the properties of solids, energy bandgap engineering, semi-classical transport theory, semi-conductor statistics, carrier scattering, electro-magneto transport effects, high field ballistic transport, Boltzmann transport equation, quantum mechanical transitions, optical absorption, and radiative and non-radiative recombination that are the foundations of modern transistors and optoelectronic devices. Existing blockchains like Bitcoin and Ethereum have an excellent track record in operating securely in such a challenging environment but suffer from several significant drawbacks. Emphasis is on applications in modern devices and systems. Overview of transceiver architectures. 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. 3 Units. 3 Units. Students will learn the core principles for designing, implementing and analyzing central experimental methods including polymerase chain reaction (PCR), electrophoresis, immunoassays, and high-throughput sequencing. 1 Unit. See ee264.stanford.edu for more information. We are aware of some school closings in areas impacted by the coronavirus outbreak, and that it may delay some courses of study as well as the reporting of official school documents. 3 Units. Prerequisites: 216 or equivalent. Nonlinear effects in fibers: Raman, Brillouin, Kerr. 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. Principles and Models of Semiconductor Devices. For our undergraduate students, we organize the curriculum through three disciplinary areas: (I) Hardware and Software Systems, (II) Information … EE 300. Digital signal processing (DSP) techniques and design of DSP applications. 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. Students taking courses with S/CR grades while the letter grade option is available should consider the impact of S/CR grades on their future applications for admission to graduate/professional school, fellowships, or employment. May be repeated for credit. 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. Elements of probability, conditional probability, Bayes rule, independence. Device operation and compact modeling in support of circuit simulations needed for design. Course may be repeated for credit. EE 185C. WDM systems, crosstalk. EE 262. Characteristics of wireless communication: multipath, noise, and interference. Introduction to the theory of error correcting codes, emphasizing algebraic constructions, and diverse applications throughout computer science and engineering. The authors review recent work on optical computing for artificial intelligence applications and discuss its promise and challenges. 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. EE 214B. Enrollment limited to 25; preference to graduating seniors. EE 402A. Neuromorphics: Brains in Silicon. 3 Units. Applications to implementation of communications receivers and machine learning systems. 1 Unit. Prerequisites: basic networking technologies and probability. Boundary conditions. The program is designed to give … The focus will then shift to design of media access control and routing layers for various wireless systems. Detailed requirements and instructions are in the Handbook for Graduate Students in Electrical Engineering at Stanford University ( http://ee.stanford.edu/gradhandbook ). Data standardization and feature engineering. The lectures will focus on the key enabling components of embedded systems, including: Clocks, GPIO, Interrupts, Busses, Amplifiers, Regulators, Power supplies, ADC/DAC, DMA, and Storage. 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). For more information, see the department's Graduate Degree Progress website. The information theoretic way of thinking. Previous guests include: Jon Rubinstein (NeXT, Apple, Palm), Diane Greene (VMware), and Ted Hoff (Intel). Special Studies and Reports in Electrical Engineering. EE 46. Same as: CS 241. This course covers the fundamental principles underlying the analysis, design and optimization of analog and digital communication systems. Advanced VLSI Devices. This class will culminate in a final project. Applied Quantum Mechanics I. EE 185A/B/C is a full-year sequence that teaches all of the concepts, knowledge, skills, and techniques to engineer all aspects of a smart object. Mathematical representation of signals and systems. Discrete Fourier transforms, applications in convolution and spectral analysis. EE 390. Special Studies and Reports in Electrical Engineering. EE 364B. The instructors will cover relevant background materials in the in-between weeks. Prerequisite: EE 114 or EE 214A. 3 Units. Students may select their Design course from any Disciplinary Area. Our research investigates techniques such as demand response and the use of energy storage to reduce peak demand and address variability of renewable energy. Elements of laser dynamics and noise. Past guest speakers include Richard Swanson (CEO, SunPower), Benjamin Cook (Managing Partner at NextPower Capital) and Shahin Farshchi (Partner, Lux Capital). EE 254. 94305. They should also be responsive to one another in a timely manner. Nyquist and oversampling A/D and D/A converters. Prerequisite: 222. Quantum information and interpretation of quantum mechanics. This course also meets the EE design requirement. 3 Units. 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. 3 Units. Optical Methods in Engineering Science. Same as: PHOTON 329. Enrollment limited to 30. Same as: CEE 272T. Applications must be submitted by Autumn Quarter of the senior year, be signed by the thesis advisor and second reader (one must be a member of the EE Faculty), and include an honors proposal. Analytical Methods in Biotechnology. How much benefit can optimal cooperation provide over traditional communication architectures? 3-4 Units. This course examines this technology and uses green-tech examples to teach the engineering principles of modeling, optimization, analysis, simulation, and design. This course introduces students to various semiconductor memory devices: SRAM, DRAM and FLASH, that are used in today's memory subsystems. 3 Units. Minimum 17 units. B. Miller's recent collaborative paper, Q-FARM presents "Direct laser cooling of polyatomic molecules", SCIEN and EE292E present "Holographic optics for AR/VR", ISL Colloquium presents "Accelerating Reinforcement Learning in Emerging Wireless IoT Systems and Applications via System Awareness". Prerequisites: MATH 52 and 53, EE 65 or PHYSICS 65 (or PHYSICS 43 and 45). Prerequisite: EE 108. Integrated Circuit Fabrication Laboratory. EE 290E. Traditional consensus protocols are designed for the closed setting where nodes are permissioned and fixed. Emphasis on VR technology. 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. Formerly EE231. Quadratic performance functions, their eigenvectors and eigenvalues. The School of Engineering is home to 10 departmental and six interdepartmental major programs. The goal of the class is to familiarize the students with these components such that they can build their own embedded systems in devices. EE 169. Algorithm design for pipelining and parallelism. Polycrystalline silicon and the IC interconnect system are then discussed. Product Management for Electrical Engineers and Computer Scientists. 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. In addition, four letter-graded EE courses at the 100-level or higher must be taken (12 units minimum). Multidimensional Fourier transform and use in imaging. DSP architecture design. Prerequisites: EE278 and EE263 or equivalent. 3 Units. Z transforms, applications in infinite impulse response filter design. Laboratory and design skills—develop the basic skills needed to perform and design experimental projects. How information theory bears on the design and operation of modern-day systems such as smartphones and the Internet. For further information, see the ". Prerequisites: high-school physics. The world is increasingly based on wireless communication. EE 237. Concepts and tools for continuous- and discrete-time signal and system analysis with applications in signal processing, communications, and control. EE 185A/B/C is a full-year sequence that teaches all of the concepts, knowledge, skills, and techniques to engineer all aspects of a smart object. EE 272B. The course taken must be on the School of Engineering Approved Courses list, Fig 4-3, the year it is taken. A Stanford undergraduate may work simultaneously toward the B.S. in EE with distinction in research must first identify a faculty advisor who agrees to supervise and support the research work. 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. Most of the class will be spent on providing techniques to create designs that can be validated, are low power, provide good performance, and can be completed in finite time. For details on program objectives and requirements, see the Handbook for Undergraduate Engineering … Optical properties of metallic nanostructures. 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. Undergraduates must take EE 114 for 4 units. Same as: BIOE 313. Cognitive memory/human and machine. EE 347. For WIM credit, students must enroll in EE 153 for 4 units. Prerequisite: a first undergraduate course in probability. The Department of Electrical Engineering offers a program leading to a Bachelor of Science in Electrical Engineering with Honors. 3 Units. This course aims to cover the theory, simulation, and hands-on experiment in antenna design. These include understanding customers, their job to be done, Identifying new product opportunities, and defining what to build that is technically feasible, valuable to the customer, and easy to use The course has two components, Product Management Project with corporate partners, and case-based classroom discussion of PM concepts and application. Same as: WIM. Extensive use of modern CAD tools. Convex Optimization I. Electromagnetic Waves. 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 … Helpful: basic computer graphics / OpenGL. May be repeated for credit. 3 Units. 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