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Now more than ever, as a worldwide STEM community, we need to know what pre-collegiate teachers and students explore, learn, and implement in relation to computer science and engineering education. As computer science and engineering education are not always “stand-alone” courses in pre-collegiate schools, how are pre-collegiate teachers and students learning about these topics? How can these subjects be integrated? Explore six articles in this book that directly relate to the currently hot topics of computer science and engineering education as they tie into pre-collegiate science, technology, and mathematics realms. There is a systematic review article to set the stage of the problem. Following this overview are two teacher-focused articles on professional development in computer science and entrepreneurship venture training. The final three articles focus on varying levels of student work including pre-collegiate secondary students’ exploration of engineering design technology, future science teachers’ (collegiate students) perceptions of engineering, and pre-collegiate future engineers’ exploration of environmental radioactivity. All six articles speak to computer science and engineering education in pre-collegiate forums, but blend into the collegiate world for a look at what all audiences can bring to the conversation about these topics.
secondary science --- STEM outreach --- mathematics (STEM) education --- environmental radioactivity --- learner analysis --- coaching --- learner-centered pedagogy --- preservice teacher beliefs --- computer science education --- laboratory activity --- science education --- challenge-based learning --- engineering --- K–12 teacher --- literature review --- pre-collegiate teacher --- scintillator detector --- computing outreach --- science --- computer science application --- pre-college engineering activities --- K-12 teachers --- engineering design process --- ?-ray spectroscopy --- student engagement --- in-situ measurements --- conceptual assessment items --- engineering education --- Web-GIS platform --- K–12 --- computer science --- engineering outreach --- online professional development training --- pre-college STEM activities --- Android app --- students’ alternative conceptions --- technology --- inquiry-based science and technology --- computer science integration --- assessment tool --- perceptions --- pre-college computing activities --- nuclear engineering experiment --- conceptual change --- NGSS --- physics education --- engineering design technology
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Many industries, such as transportation and manufacturing, use control systems to insure that parameters such as temperature or altitude behave in a desirable way over time. For example, pilots need assurance that the plane they are flying will maintain a particular heading. An integral part of control systems is a mechanism for failure detection to insure safety and reliability. This book offers an alternative failure detection approach that addresses two of the fundamental problems in the safe and efficient operation of modern control systems: failure detection--deciding when a failure has occurred--and model identification--deciding which kind of failure has occurred. Much of the work in both categories has been based on statistical methods and under the assumption that a given system was monitored passively. Campbell and Nikoukhah's book proposes an "active" multimodel approach. It calls for applying an auxiliary signal that will affect the output so that it can be used to easily determine if there has been a failure and what type of failure it is. This auxiliary signal must be kept small, and often brief in duration, in order not to interfere with system performance and to ensure timely detection of the failure. The approach is robust and uses tools from robust control theory. Unlike some approaches, it is applicable to complex systems. The authors present the theory in a rigorous and intuitive manner and provide practical algorithms for implementation of the procedures.
System failures (Engineering) --- Fault location (Engineering) --- Signal processing. --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Location of system faults --- System fault location (Engineering) --- Dynamic testing --- Failure of engineering systems --- Reliability (Engineering) --- Systems engineering --- A priori estimate. --- AIXI. --- Abuse of notation. --- Accuracy and precision. --- Additive white Gaussian noise. --- Algorithm. --- Approximation. --- Asymptotic analysis. --- Bisection method. --- Boundary value problem. --- Calculation. --- Catastrophic failure. --- Combination. --- Computation. --- Condition number. --- Continuous function. --- Control theory. --- Control variable. --- Decision theory. --- Derivative. --- Detection. --- Deterministic system. --- Diagram (category theory). --- Differential equation. --- Discrete time and continuous time. --- Discretization. --- Dynamic programming. --- Engineering design process. --- Engineering. --- Equation. --- Error message. --- Estimation theory. --- Estimation. --- Finite difference. --- Gain scheduling. --- Inequality (mathematics). --- Initial condition. --- Integrator. --- Invertible matrix. --- Laplace transform. --- Least squares. --- Likelihood function. --- Likelihood-ratio test. --- Limit point. --- Linear programming. --- Linearization. --- Mathematical optimization. --- Mathematical problem. --- Maxima and minima. --- Measurement. --- Method of lines. --- Monotonic function. --- Noise power. --- Nonlinear control. --- Nonlinear programming. --- Norm (mathematics). --- Numerical analysis. --- Numerical control. --- Numerical integration. --- Observational error. --- Open problem. --- Optimal control. --- Optimization problem. --- Parameter. --- Partial differential equation. --- Piecewise. --- Pointwise. --- Prediction. --- Probability. --- Random variable. --- Realizability. --- Remedial action. --- Requirement. --- Rewriting. --- Riccati equation. --- Runge–Kutta methods. --- Sampled data systems. --- Sampling (signal processing). --- Scientific notation. --- Scilab. --- Shift operator. --- Signal (electrical engineering). --- Sine wave. --- Solver. --- Special case. --- Stochastic Modeling. --- Stochastic calculus. --- Stochastic interpretation. --- Stochastic process. --- Stochastic. --- Theorem. --- Time complexity. --- Time-invariant system. --- Trade-off. --- Transfer function. --- Transient response. --- Uncertainty. --- Utilization. --- Variable (mathematics). --- Variance.
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An essential exploration of the engineering aesthetics of celebrated structures from long-span bridges to high-rise buildingsWhat do structures such as the Eiffel Tower, the Brooklyn Bridge, and the concrete roofs of Pier Luigi Nervi have in common? According to The Tower and the Bridge, all are striking examples of structural art, an exciting area distinct from either architecture or machine design. Aided by stunning photographs, David Billington discusses the technical concerns and artistic principles underpinning the well-known projects of leading structural engineer-artists, including Othmar Ammann, Félix Candela, Gustave Eiffel, Fazlur Khan, Robert Maillart, John Roebling, and many others. A classic work, The Tower and the Bridge introduces readers to the fundamental aesthetics of engineering.
Bridges --- Structural engineering. --- Towers --- Design and construction. --- Analysis. --- Apartment. --- Arch bridge. --- Architectural designer. --- Architecture. --- Art museum. --- Art. --- Britannia Bridge. --- Calculation. --- Cantilever. --- Career. --- Case study. --- Central Elevated Walkway. --- Centrality. --- Chief technician. --- Christian Menn. --- Collaboration. --- Competition. --- Complex analysis. --- Concrete shell. --- Construction. --- Consultant. --- Curriculum. --- Designer. --- Diagram. --- Efficiency. --- Engineering analysis. --- Engineering design process. --- Engineering. --- Fiberboard. --- Forth Bridge. --- Ganter Bridge. --- Garret. --- Greenhouse gas. --- Gustave Eiffel. --- Ideology. --- Industrial Building (Detroit). --- Industrial Revolution. --- Industrial society. --- Innovation. --- Institution. --- Interaction. --- Internal combustion engine. --- International Style (architecture). --- Invention. --- Iron Age. --- Jacques Ellul. --- John Hancock Tower. --- Le Corbusier. --- Life tenure. --- Lightness. --- Machine Age. --- Machine. --- Manufacturing. --- Masonry. --- Motivation. --- Natural environment. --- Natural resource. --- Obligation. --- Obstacle. --- Othmar Ammann. --- Parapet. --- Person A. --- Personality. --- Phenomenon. --- Pier. --- Profession. --- Project. --- Proportion (architecture). --- Reputation. --- Robert Maillart. --- Saving. --- Scaffolding. --- Structural art. --- Structural engineer. --- Supporter. --- Suspension bridge. --- Technological change. --- Technology. --- The Sense of Beauty. --- Theory of Forms. --- Theory. --- Transmission tower. --- Turbine. --- Uniqueness. --- Urbanization. --- Vannevar Bush. --- Verrazano Bridge (Maryland). --- Verrazano–Narrows Bridge. --- Vocabulary. --- Walter Gropius. --- Water supply. --- Water treatment. --- Weapon system. --- Weathering. --- Willis Tower. --- Work function. --- Work of art. --- Writing.
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