Difference between revisions of "Gasing Computation"
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=Approximation= | =Approximation= | ||
Gasing method's [[ | Gasing method's [[GABER Read|rational arithmetic]] and [[name|naming convention]] provides the intellectual grounding for how to convert seemingly complex problem into decidable problems with a generalizable approach to know the range of errors. | ||
=Instrumentation= | =Instrumentation= | ||
Latest revision as of 05:25, 23 March 2022
Gasing Computation is a curriculum designed to guide novice learners to acquire the mental model of decision making with data. To deal with data of different sizes, Gasing Computation introduces concepts regarding abstraction, approximation, and instrumentation to gain practical results.
Abstraction
Gasing method's mathematics and physics sections provides the basis for abstracting physical phenomenon and logical concepts into bite-sized patterns to enable correct yet sufficiently accurate assessment of problem framing.
Approximation
Gasing method's rational arithmetic and naming convention provides the intellectual grounding for how to convert seemingly complex problem into decidable problems with a generalizable approach to know the range of errors.
Instrumentation
Gasing method incorporate formalisms derived from Quantum Natural Language Processing and String Diagrams to help visualize and model the problem of interest, while allowing networked and cloud-based computing instrument to scale-up and scale-out to provide enough computational resources to solve the problem with automated procedures. Gasing method also provides the curriculum to incrementally grow the vocabulary of learners to use publicly available computing resources or public domain algorithms to tackle open ended problems.