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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,...

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 course teaches the toolkit for mastering challenges in computational psychiatry. It covers a variety of mathematical models for studying learning, decision-making or...

This online lecture gives an introduction to the concepts of machine learning. (Some math and programming experience required.)

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 is an intermediate algorithms course with an emphasis on teaching techniques for the design and analysis of efficient algorithms, emphasizing methods of application.

This lecture series focuses on the "emerging field" of "Quantum Geometry". Here, the expertise of both mathematicians and physicists are brought together in order to make...

This online lecture series gives an introduction to nuclear and particle physics.

This online lecture series gives an introduction to General Relativity.In includes 12 video lectures by the University of Tübingen. Each lecture shows a table of contents that...

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 string theory lecture focuses on holographic duality (also known as gauge / gravity duality or AdS / CFT) as a novel method of approaching and connecting a range of diverse...

This is the second of a two-part online lecture beginning with Atomic and Optical Physics I that provides the foundations for contemporary research in selected areas of atomic...

This online lecture gives an introduction to the concept of Parallel Programming.

This online video lecture series gives an introduction to deep learning.

This online lecture emphasizes dynamic models of growth and development. Topics covered include: migration, modernization, and technological change; static and dynamic models of...

This online lecture uses the theory and application of atomistic computer simulations to model, understand, and predict the properties of real materials.

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 discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods.

Basic principles of statistical mechanics are examined in this online lecture, such as the laws of thermodynamics and the concepts of temperature, work, heat, and entropy....

The online lecture serves as an introduction to the theory and practice behind many of today's communications systems.