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

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,...

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 lecture covers the fundamental principles, practices and tools of Lean Six Sigma methods that underlay modern organizational productivity approaches applied in...

This online lecture is an introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis; it also includes an...

This online lecture series introduces some of the important model systems studied in contemporary physics, including two-dimensional electron systems, the fine structure of...

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

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

This online lecture covers social development, social behaviour, social cognition and social neuroscience, in both human and non-human social animals.

Highlights of Calculus is a series of short online videos that introduces the basics of calculus—how it works and why it is important.

The purpose of this online lecture is to expose undergraduate and graduate students to the mathematical concepts and techniques used in the financial industry.

This online lecture video introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence.(Note: Also check out our...

This online course is an in-depth series of videos about differential equations and the MATLAB® ODE suite. These videos are suitable for students and life-long learners.

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