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v. t. e. Information theory is the mathematical study of the quantification, storage, and communication of information. The field was originally established by the works of Harry Nyquist and Ralph Hartley, in the 1920s, and Claude Shannon in the 1940s. [1] : vii The field, in applied mathematics, is at the intersection of probability theory ...
The worked-example effect is a learning effect predicted by cognitive load theory. [1] [full citation needed] Specifically, it refers to improved learning observed when worked examples are used as part of instruction, compared to other instructional techniques such as problem-solving [2] [page needed] and discovery learning. [3] [full citation ...
Multimedia. Multimedia is a form of communication that uses a combination of different content forms, such as writing, audio, images, animations, or video, into a single interactive presentation, in contrast to traditional mass media, such as printed material or audio recordings, which feature little to no interaction between users.
Multimodality is the application of multiple literacies within one medium. Multiple literacies or "modes" contribute to an audience's understanding of a composition. [1] Everything from the placement of images to the organization of the content to the method of delivery creates meaning.
Media studies is a discipline and field of study that deals with the content, history, and effects of various media; in particular, the mass media. Media studies may draw on traditions from both the social sciences and the humanities, but mostly from its core disciplines of mass communication, communication, communication sciences, and ...
v. t. e. A simulation is an imitative representation of a process or system that could exist in the real world. [1] [2] [3] In this broad sense, simulation can often be used interchangeably with model. [2] Sometimes a clear distinction between the two terms is made, in which simulations require the use of models; the model represents the key ...
Mathematical statistics is the application of probability theory, a branch of mathematics, to statistics, as opposed to techniques for collecting statistical data. Specific mathematical techniques which are used for this include mathematical analysis, linear algebra, stochastic analysis, differential equations, and measure theory.
The approximation of a normal distribution with a Monte Carlo method. Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle.