Difference between revisions of "Meta University/Goal"
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# Establish a [[Soundness|sound]] Cognitive Foundation gounded on Data: Data Structures and Algorithms to process the data. | # Establish a [[Soundness|sound]] Cognitive Foundation gounded on Data: Data Structures and Algorithms to process the data. | ||
# Support [[effective]] Decisions with [[Computational Thinking]]: Making sense of data with the help of mental models and computing tools. | # Support [[effective]] Decisions with [[Computational Thinking]]: Making sense of data with the help of mental models and computing tools. | ||
# | # [[Refine existing knowledge]] and [[produce new knowledge]]: Evangelize knowledge and data manipulation methods and tools to attenuate unnecessary [[information asymmetry]]. | ||
<noinclude> | <noinclude> |
Revision as of 03:05, 10 February 2022
The goal of MU is to provide the following tri-fold knowledge organization framework:
- Establish a sound Cognitive Foundation gounded on Data: Data Structures and Algorithms to process the data.
- Support effective Decisions with Computational Thinking: Making sense of data with the help of mental models and computing tools.
- Refine existing knowledge and produce new knowledge: Evangelize knowledge and data manipulation methods and tools to attenuate unnecessary information asymmetry.
All the above three goals should be unified with an extensible knowledge representation, retainment, and revisioning mechanism without loss of universality.
This requirement mandates the generalized knowledge container to have an extremely simple structure, as simple as a causally related data representation, called function. In other words, the goal of MU is to organize all content knowledge using an abstract model that represent knowledge as a generic function that could be composed of other functions recursively.
References