Meta University/Context

As Moore's Law opened up the flood gate of data dissemination on a global scale, the world's human populations do not have a commensurable framework to cope with the uneven knowledge distribution in terms of algorithmic data processing and data content verification. To enable egalitarian access to the utility of algorithmic data processing and data publishing, an open curriculum is needed. MU as an open source project, invites everyone to particpate in shaping a knowledge production process based on Data Science. Based on public contribution, it will evolve to incrementally approximate a curriculum to help anyone who wish to benefit from intuitive data presentation on pervasive computing devices, and highly-available data content.

Moore's Law as the central thesis

Moore's Law is instrumental for shifting the paradigms of institutional and individual learning, because it provides an testable theory to relate the spatial and temporal dimensions of computational/decision-making activities. Before Moore's Law, computational tasks are considered to be a pure mental exercise for humans, the mechanical devices for computation are usually clumsy and rigid, so that they can hardly display any kind of intelligence. Given Moore's Law's revelation, the speed and capabilities of computation, can be extrapolated to various possibilities, therefore, it creates a societal rhythm in planning on how to cram more decision-making, or accountable activities in certain unit spacetime and energy. This revelation creates a tangible way to plan for technology and business process deployment. Therefore, we must be reminded of this intellectual revelation for planning MU. However, it is important to note that Moore's Law has been tighly associated with the idea of exponential growth, while the precise ratio of exponential growth may change from industry to industry.