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This series of video lectures explores various technologies involved in building distributed, data-intensive systems.
This video lecture discusses model driven software engineering (theory and tool support).
Topics covered in this online lecture (part 2) include the general formalism of quantum mechanics, harmonic oscillator, quantum mechanics in three-dimensions, angular momentum,...
The goal of this online lecture is to illustrate the spectroscopy of small molecules in the gas phase.
This online lecture uses the theory and application of atomistic computer simulations to model, understand, and predict the properties of real materials.
This lecture focuses on recent developments in image processing driven by medical applications. All algorithms are motivated by practical problems. The mathematical tools...
Basic principles of Statistical Mechanics are examined in this online lecture. Topics include: Thermodynamics, probability theory, kinetic theory, classical statistical...
This online lecture series gives an introduction to quantum mechanics for use by chemists. Topics include particles and waves, wave mechanics, semi-classical quantum mechanics,...
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 series of lectures gives an introduction to the mechanics of spaceflight.
This online lecture discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods.
This online lecture aims to help students acquire both the mathematical principles and the intuition necessary to create, analyze, and understand insightful models for a broad...
This online lecture is an introduction to the dynamics and vibrations of lumped-parameter models of mechanical systems. Topics covered include kinematics, force-momentum...
This series of online lectures explores the physical and social form of cities. It covers theories about the form that settlements should take and attempts a distinction between...
This lecture complements (and builds on top of) the lectures "Introduction to Pattern Recognition" and "Pattern Recognition". The lecture focusses on modeling of densities, and...
This online lecture series gives an introduction to nuclear and particle physics.
This online lecture focuses on the algorithms for analyzing and designing geometric foldings.
This online video lecture series gives an introduction to deep learning.
The focus of this course (part 2 of 2) is on coding techniques for approaching the Shannon limit of additive white Gaussian noise (AWGN) channels, their performance analysis,...
The 16 lectures in this course cover the topics of adaptive antennas and phased arrays.
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