Same as: STATS 376A. Prerequisites: Strong programming skills, ENGR 108 or equivalent. System applications: preamplified receiver performance, amplifier chains. Imaging Radar and Applications. In addition, the student must complete the following requirements beyond those for the regular M.S. EE 290F. Types of optical cavities (microdisks, microspheres, photonic crystal cavities, plasmonic cavities), and their electromagnetic properties, design, and fabrication techniques. Same as: CME 364A. 3 Units. 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. Finally, it will conclude with a brief overview of other related issues including emerging wireless/mobile applications. Applying for financial assistance is part of the admission application. 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. Overview of integrated circuit technologies, circuit components, component variations and practical design paradigms. The I-AI is related to Internet of Things (IoT), where 'things' include man-made systems and business processes: industrial, transportation, operations and support, and supply chains. Regression and classification. After accepting admission to this coterminal master’s degree program, students may request transfer of courses from the undergraduate to the graduate career to satisfy requirements for the master’s degree. 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. Useful for anyone who will build a chip in their Ph.D. Pre-requisites: EE271 and experience in digital/analog circuit design. 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. Specific problems we will study include genome assembly, haplotype phasing, RNA-Seq assembly, RNA-Seq quantification, single cell RNA-seq analysis, multi-omics analysis,nand genome compression. This course will be an introduction to solar photovoltaics. Mathematical representation of signals and systems. Prerequisites: Math through ODEs, basic linear algebra, Comfort with sums and discrete signals, Fourier series at the level of 102A. Information theory establishes the fundamental limits on compression and communication over networks. Mathematical problems in Machine Learning. Enrollment limited to 30. 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. Fabrication, simulation, and testing of a submicron CMOS process. It serves as an introduction to wireless through a series of seminars with invited speakers from both industry and academia. Design examples will be taken from the most prevalent communication systems today: cell phones, Wifi, radio and TV broadcasting, satellites, and computer networks. Data Science for High Throughput Sequencing. 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. 3 Units. Choose one Fundamental from the Approved List; Recommended: Minimum 17 units, 5 courses: 1-2 Required, 1 WIM/Design and 2-3 disciplinary area electives. 3 Units. For more information,  see the Electrical Engineering Department Graduate Handbook (pdf). Prerequisite: EE 101B. 3 Units. Mathematical tools to understand modern machine learning systems. Maintain a grade point average of at least 3.5 in Electrical Engineering courses. Prerequisites: familiarity with Fourier transform and analysis, EE 102 and EE 142 or equivalent. The Wireless World, and the Data You Leak. Prerequisites: Undergraduate device physics, EE222, EE216, EE316. Perfectly matched layer (PML) absorbing boundaries. One course, see Basic Requirement 4 in the School of Engineering section. Stanford, Approximation of (Bayes) optimalnprocedures, surrogate risks, f-divergences. Inductors and transformers are ubiquitous components in any power electronics system. Experimental characterization of semiconductor lasers, optical fibers, photodetectors, receiver circuitry, fiber optic links, optical amplifiers, and optical sensors. Advancement to candidacy requires superior academic achievement, satisfactory performance on a qualifying examination, and sponsorship by two faculty members. Nonlinear effects in fibers: Raman, Brillouin, Kerr. 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. Nyquist and oversampling A/D and D/A converters. Total-field/scattered-field (TF/SF) method. Curricular Practical Training for Electrical Engineers. Convolutions and correlations and applications; probability distributions, sampling theory, filters, and analysis of linear systems. The 4-unit version requires a final course project and written report in lieu of the final assignment. EE 368. The Electrical Engineering Department offers the following degrees: Bachelor of Science, Master of Science, and Doctor of Philosophy. 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. Prerequisite: EE 102A. Radar imaging and backprojection algorithms for 3- and 4-D imaging. 5 Units. EE 340. This course is not a crash course on climate change or policy. Subgradient, cutting-plane, and ellipsoid methods. May be repeated for credit. Waveguide technologies: glass, silicon, III-V semiconductor, metallic. degree. 3 Units. Topics covered include ac and dc rotating machines, power electronics inverters and drives, and control techniques. The third part will focus on an analysis of EM waves in matter. Topics include basic bounds on error correcting codes; Reed-Solomon and Reed-Muller codes; list-decoding, list-recovery and locality. 1-15 Unit. 3-4 Units. 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. Same as: EE 253, 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. In-depth discussion on cancer and cardiovascular diseases and the role of diagnostics and nano-therapies. Advanced Topics in Power Electronics. Eigenvalues, left and right eigenvectors, with dynamical interpretation. A series of seminar and lectures focused on power engineering. 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.