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121 - 130 of 204 results for: CS

CS 193C: Client-Side Internet Technologies

Client-side technologies used to create web sites such as sophisticated Web 2.0 interfaces similar to Google maps. XHTML, CSS, JavaScript, document object model (DOM), AJAX, and Flash. Prerequisite: programming experience at the level of 106A.
Terms: Sum | Units: 3 | Grading: Letter or Credit/No Credit
Instructors: Young, P. (PI)

CS 196: Computer Consulting

Focus is on Macintosh and Windows operating system maintenance and troubleshooting through hardware and software foundation and concepts. Topics include operating systems, networking, security, troubleshooting methodology with emphasis on Stanford's computing environment. Not a programming course. Prerequisite: 1C or equivalent.
Terms: Win, Spr | Units: 2 | Grading: Satisfactory/No Credit
Instructors: Smith, S. (PI)

CS 200: Care and Feeding of Large-Scale Web Services

Advances in cloud technologies are making it easier than ever to build web services. Today, one can choose from a number of cloud providers to buildnweb sites, mobile and web apps. Successful scaling of such services, however, is far from trivial. This course discusses technologies that are critical to successful operation of large-scale web services: Global load balancing via DNS, and Comparison of CDNs; Understanding TCP's impact on global client-side latency; Effect of tags and local storage on client-side latency; Backend servers: RPCs, server threading architecture and cluster management; Data storage alternatives: SQL and NoSQL; Faster access to data: Memcached and 20 years of RDMA; Flash's Role in Large Scale Distributed Systems; Cloud: Public, Private and Hybrid; Log processing: Hive and Dremel. The goal is to equip students with a good understanding of challenges and current solutions for service scaling. There is no homework. Instead, students are expected to read background materials and attend class discussions.
Terms: Spr | Units: 1 | Grading: Satisfactory/No Credit
Instructors: Cao, P. (PI)

CS 202: Law for Computer Science Professionals

Intellectual property law as it relates to computer science including copyright registration, patents, and trade secrets; contract issues such as non-disclosure/non-compete agreements, license agreements, and works-made-for-hire; dispute resolution; and principles of business formation and ownership. Emphasis is on topics of current interest such as open source and the free software movement, peer-to-peer sharing, encryption, data mining, and spam.
Terms: Spr | Units: 1 | Grading: Satisfactory/No Credit
Instructors: Hansen, D. (PI)

CS 205B: Mathematical Methods for Fluids, Solids, and Interfaces

Numerical methods for simulation of problems involving solid mechanics and fluid dynamics. Focus is on practical tools needed for simulation, and continuous mathematics involving nonlinear hyperbolic partial differential equations. Possible topics: finite element method, highly deformable elastic bodies, plasticity, fracture, level set method, Burgers' equation, compressible and incompressible Navier-Stokes equations, smoke, water, fire, and solid-fluid coupling. Prerequisite: 205A or equivalent.
Terms: not given this year | Units: 3 | Grading: Letter or Credit/No Credit

CS 207: The Economics of Software

How businesses move software products into the marketplace and how the associated intellectual capital is exploited. The value of creators and managers. Concepts that are outside of the common knowledge of computer scientists such as business terms and spreadsheet computations to quantitatively compare alternatives. Goal is to contribute to informed decision making in high-tech product design, acquisition, production, marketing, selection of business structures, outsourcing, and impact of taxation policies. No specific background required. External experts complement class presentations.
Terms: Aut | Units: 2 | Grading: Satisfactory/No Credit

CS 210A: Software Project Experience with Corporate Partners

Two-quarter project course. Focus is on real-world software development. Corporate partners seed projects with loosely defined challenges from their R&D labs; students innovate to build their own compelling software solutions. Student teams are treated as start-up companies with a budget and a technical advisory board comprised of instructional staff and corporate liaisons. Teams will typically travel to the corporate headquarters of their collaborating partner, meaning some teams will travel internationally. Open loft classroom format such as found in Silicon Valley software companies. Exposure to: current practices in software engineering; techniques for stimulating innovation; significant development experience with creative freedoms; working in groups; real-world software engineering challenges; public presentation of technical work; creating written descriptions of technical work. Prerequisites: CS 109 and 110.
Terms: Win | Units: 3-4 | Grading: Letter (ABCD/NP)

CS 222: Rational Agency and Intelligent Interaction (PHIL 358)

For advanced undergraduates, and M.S. and beginning Ph.D. students. Logic-based methods for knowledge representation, information change, and games in artificial intelligence and philosophy. Topics: knowledge, certainty, and belief; time and action; belief dynamics; preference and social choice; games; and desire and intention. Prerequisite: propositional and first-order logic.
Terms: not given this year | Units: 3 | Grading: Letter or Credit/No Credit

CS 223A: Introduction to Robotics (ME 320)

Robotics foundations in modeling, design, planning, and control. Class covers relevant results from geometry, kinematics, statics, dynamics, motion planning, and control, providing the basic methodologies and tools in robotics research and applications. Concepts and models are illustrated through physical robot platforms, interactive robot simulations, and video segments relevant to historical research developments or to emerging application areas in the field. Recommended: matrix algebra.
Terms: Win | Units: 3 | Grading: Letter or Credit/No Credit
Instructors: Kroeger, T. (PI)

CS 225B: Robot Programming Laboratory

For robotics and non-robotics students. Students program mobile robots to exhibit increasingly complex behavior (simple dead reckoning and reactivity, goal-directed motion, localization, complex tasks). Topics: motor control and sensor characteristics; sensor fusion, model construction, and robust estimation; control regimes (subsumption, potential fields); probabalistic methods, including Markov localization and particle filters. Student programmed robot contest. Programming is in C++ on Unix machines, done in teams. Prerequisite: programming at the level of 106B, 106X, 205, or equivalent.
Terms: not given this year | Units: 3-4 | Grading: Letter or Credit/No Credit
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