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Effective field theory is a fundamental framework to describe physical systems with quantum field theory.

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

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 series of video lectures explores various technologies involved in building distributed, data-intensive systems.

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....

This online course teaches how to publish a personal website to the public Internet.

This online lecture discusses aspects of Organizational Psychology.

This online course teaches intermediate techniques to transform table data in SQL.

This online lecture explores photography as a disciplined way of seeing or investigating urban landscapes, and expressing ideas. Readings, observations, and photographs form the...

This online lecture explores statistical modeling and control in manufacturing processes.

This lecture focuses on recent developments in image processing driven by medical applications. All algorithms are motivated by practical problems. The mathematical tools...

This online course shows how to use IBM's Personality Insights API and interact with Twitter; participants should be familiar with Python for this course.

This online lecture covers eg.: 1. Direct Methods for linear systems of equations 2. Interpolation 3. Iterative Methods for non-linear systems of equations 4. Krylov methods for...

This online course gives an introduction to Alexa, the Voice User Interface (VUI) application by Amazon.The course shows how to build a simple interaction model that responds to...

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

This online course discusses numerical methods for Partial Differential Equations (PDE).

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

This online lecture provides an introduction to mathematical modeling of computational problems.

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