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Entwicklung und Evaluation eines realeninternetgesteuerten Experimentes für verschiedene AnfängerpraktikaBorowski, Andreas. January 2004 (has links)
Dortmund, Univ., Diss., 2004. / Computerdatei im Fernzugriff.

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Entwicklung und Evaluation eines realeninternetgesteuerten Experimentes für verschiedene AnfängerpraktikaBorowski, Andreas. January 2004 (has links)
Dortmund, Univ., Diss., 2004. / Computerdatei im Fernzugriff.

3 
Physiklehrervorstellungen zum Experiment im Physikunterricht /JonasAhrend, Gabriela. January 2004 (has links)
Zugl.: Berlin, Freie Universiẗat, Diss., 2003.

4 
Chemischer Experimentalunterricht in der Fächergruppe Physik, Chemie, Biologie Entwicklung, Umsetzung und Evaluation eines Fortbildungskonzepts für Lehrkräfte an der bayerischen Hauptschule /Barth, Ulrich. January 2005 (has links) (PDF)
Erlangen, Nürnberg, Universiẗat, Diss., 2005.

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Analysis of a major dust outbreak over the Arabian Sea during MONEXChen, Felicia Hweifang. January 1986 (has links)
Thesis (M.S.)University of WisconsinMadison, 1986. / Typescript. eContent providerneutral record in process. Description based on print version record. Includes bibliographical references (leaves 6266).

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Measurement of Single W Production and Triple Gauge Boson Couplings in e+ e Collisions at sqrt(s) = 161  189 GeVVerzocchi, Marco. January 2000 (has links)
Freiburg i. Br., Univ., Diss., 2000.

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Kooperatives experimentieren im Chemieunterricht : Entwicklung und Evaluation einer Interventionsstudie zur SäureBaseThematikRumann, Stefan January 2004 (has links) (PDF)
Duisburg, Essen, Univ. Diss., 2004

8 
Classroom experiments ökonomische Experimente als UnterrichtsmethodeHaus, Andrea January 2009 (has links)
Zugl.: Bonn, Univ., Diss., 2009

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Permaculture ecocentre /Kong, Chunkeung, Kid. January 1996 (has links)
Thesis (M. Arch.)University of Hong Kong, 1996. / Includes special report study entitled: [1] Role of stream water in architectural and permaculture design. [2]Exploration on the use of natural energy. Includes bibliographical references.

10 
Robust Experiment DesignRojas, Cristian R. January 2008 (has links)
Research Doctorate  Doctor of Philosophy (PhD) / This Thesis addresses the problem of robust experiment design, i.e., how to design an input signal to maximise the amount of information obtained from an experiment given limited prior knowledge of the true system. The majority of existing literature on experiment design specifically considers optimal experiment design, which, typically depends on the true system parameters, that is, the very thing that the experiment is intended to find. This obviously gives rise to a paradox. The results presented in this Thesis, on robust experiment design, are aimed at resolving this paradox. In the robust experiment design problem, we assume that the parameter vector is apriori known to belong to a given compact set, and study the design of an input spectrum which maximises the worst case scenario over this set. We also analyse the problem from a different perspective where, given the same assumption on the parameter vector, we examine cost functions that give rise to an optimal input spectrum independent of the true system features. As a first approach to this problem we utilise an asymptotic (in model order) expression for the variance of the system transfer function estimator. To enable the extension of these results to finite order models, we digress from the main topic and develop several fundamental integral limitations on the variance of estimated parametric models. Based on these results, we then return to robust experiment design, where the input design problems are reformulated using the fundamental limitations as constraints. In this manner we establish that our previous results, obtained from asymptotic variance formulas, are valid also for finite order models. Robustness issues in experiment design also arise in the area of `identification for (robust) control'. In particular, a new paradigm has recently been developed to deal with experiment design for control, namely `least costly experiment design'. In the Thesis we analyse least costly experiment design and establish its equivalence with the standard formulation of experiment design problems. Next we examine a problem involving the cost of complexity in system identification. This problem consists of determining the minimum amount of input power required to estimate a given system with a prescribed degree of accuracy, measured as the maximum variance of its frequency response estimator over a given bandwidth. In particular, we study the dependence of this cost on the model order, the required accuracy, the noise variance and the size of the bandwidth of interest. Finally, we consider the practical problem of how to optimally generate an input signal given its spectrum. Our solution is centered around a Model Predictive Control (MPC) based algorithm, which is straightforward to implement and exhibits fast convergence that is empirically verified.

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