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This online lecture gives an introduction to the dependability and reliability of hardware and software systems.
This online lecture / workshop discusses how some empirically unconfirmed or inconclusively confirmed theories in physics have nevertheless attained a high degree of trust among...
This online lecture uses the theory and application of atomistic computer simulations to model, understand, and predict the properties of real materials.
This is an online lecture about the design and implementation of secure computer systems. Lectures cover threat models, attacks that compromise security, and techniques for...
This online lecture provides an introduction to mathematical modeling of computational problems.
This online course provides a basic introduction to metric spaces. It covers metrics, open and closed sets, continuous functions (in the topological sense), function spaces,...
This online lecture gives an introduction to the concept of Parallel Programming.
This online video lecture series gives an introduction to deep learning.
This video lecture discusses model driven software engineering (theory and tool support).
Diese Online-Vorlesung behandelt die Kunst und Architektur der USA.
This graduate-level online lecture includes numerical methods; initial-value problems; network flows; and optimization. (The title of part 1 is: Computational Science and...
This online lecture includes the energy levels, the statistical behavior and internal energy, energy transport in the forms of waves and particles, scattering and heat...
This online lecture series explores functional analysis, i.e. solving both linear and nonlinear problems posed on a normed space that is no longer finite-dimensional. Topics...
The goal of this online lecture is to illustrate the spectroscopy of small molecules in the gas phase.
This online course teaches how to use relative units and media queries to create websites that can be viewed across devices of all sizes.
This online lecture introduces students to the modeling, quantification, and analysis of uncertainty.
This online lecture discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods.
This online lecture explores statistical modeling and control in manufacturing processes.
This is an intermediate algorithms course with an emphasis on teaching techniques for the design and analysis of efficient algorithms, emphasizing methods of application.
This online lecture is an introduction to the dynamics and vibrations of lumped-parameter models of mechanical systems. Topics covered include kinematics, force-momentum...
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