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

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

This online video lecture series gives an introduction to Reinforcement Learning.

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 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 is an introduction to several fundamental ideas in electrical engineering and computer science, using digital communication systems as the vehicle.

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...

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 series of lectures gives an introduction to complex analysis.

This online lecture focuses on the algorithms for analyzing and designing geometric foldings.

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 is an introduction to the dynamics and vibrations of lumped-parameter models of mechanical systems. Topics covered include kinematics, force-momentum...

The goal of this online lecture is to illustrate the spectroscopy of small molecules in the gas phase.

This online lecture introduces students to the modeling, quantification, and analysis of uncertainty.

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

The 16 lectures in this course cover the topics of adaptive antennas and phased arrays.

Videospiele / Psychologie

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...