lumped circuit abstraction
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Concentrates on recognizing and solving convex optimization problems that arise in engineering. Topics include: Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interiorpoint methods. Applications to signal proc...more
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Architectural and circuit level design and analysis of integrated analog-to-digital and digital-to-analog interfaces in CMOS and BiCMOS VLSI technology. Analog-digital converters, digital-analog converters, sample/hold amplifiers, continuous and switched-capacitor filters. RF integrated electronics including synthesizers, LNA's, and baseband processing. Low power mixed signal design. Data communications functions including clock recovery. ...more
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Introduction to programming and computer science. This course exposes students to techniques of abstraction at several levels: (a) within a programming language, using higher-order functions, manifest types, data-directed programming, and message-passing; (b) between programming languages, using functional and rule-based languages as examples. It also relates these techniques to the practical problems of implementation of languages and alg...more
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Continuation of Convex Optimization I. Topics include: Subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual decomposition. Alternating projections. Exploiting problem structure in implementation. Convex relaxations of hard problems, and global optimization via branch & bound. Robust optimization. Selected applications in areas such as control, circuit design, signal processing, and com...more
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Programming Methodology is the largest of the introductory programming courses and is one of the largest courses at Stanford. Topics focus on the introduction to the engineering of computer applications emphasizing modern software engineering principles: object-oriented design, decomposition, encapsulation, abstraction, and testing. Programming Methodology teaches the widely-used Java programming language along with good software engine...more
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The course covers the system and design issues relevant to high-speed electrical (and optical, if time permits) signaling. We start with the basics of channel properties, modeling, measurements, and communications techniques. Circuit design of main components is covered in detail. The system design issues such as planning and budgeting are presented. A large portion of the class is devoted to case studies that include the multi...more
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Note: This course is being offered by Stanford this summer as an online course for credit. It can be taken individually, or as part of a master’s degree or graduate certificate earned online through the Stanford Center for Professional Development. This course is the natural successor to Programming Methodology and covers such advanced programming topics as recursion, algorithmic analysis, and data abstraction using the C++ programming...more
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This course is designed to serve as a first course in an undergraduate electrical engineering (EE), or electrical engineering and computer science (EECS) curriculum. The course introduces the fundamentals of the lumped circuit abstraction. Topics covered include: resistive elements and networks; independent and dependent sources; switches and MOS transistors; digital abstraction; amplifiers; energy storage elements; dynamics of first- ...more
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readInt() and readDouble(), The Division Operator w.r.t ints and Doubles, Order of Precedence for Operators, Type Casting, Shorthands, Constants, The Boolean Data Type, Value Comparisons, Boolean Expressions, Short Circuit Evaluation, Statement Blocks, Scope of Variables, Cascading if, The Switch Statement, The For Loop, The While Loop
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Jennifer Raymond (Stanford University) is building a "wiring diagram" for the brain. By bridging the gap between individual synapses and whole-brain learning & memory, Raymond's research offers new insights and strategies for medical rehabilitation and K-12 education.
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Worthington explains that the market climate at the time of the formation of Fluidigm, around 1999, was not favorable towards anything without dotcom in the title, and their funding requests were met with hundreds of no's. However, as the technology continued to develop, it became clear that they were on to something big; a small, simple rubber valve that was like an integrated circuit for biology, he says.
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Advanced Topics in Circuit Design
