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Florida State University initially developed the ADDIE framework in 1975 [3] to explain, “...the processes involved in the formulation of an instructional systems development (ISD) program for military interservice training that will adequately train individuals to do a particular job and which can also be applied to any interservice curriculum development activity.” [4] The model ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
PICK charts are a method to prioritize a number of action items or problem solving ideas. A pick chart allows visual comparison of action items relative to their impact to the problem being addressed vs. the ease/cost of implementation. In VERY rudimentary terms, PICK charts are a Return On Investment (ROI) method.
SADT uses two types of diagrams: activity models and data models. It uses arrows to build these diagrams. The SADT's representation is the following: A main box where the name of the process or the action is specified; On the left-hand side of this box, incoming arrows: inputs of the action.
D3: Develop Interim Containment Plan: Define and implement containment actions to isolate the problem from any customer. D4: Determine and Verify Root Causes and Escape Points: Identify all applicable causes that could explain why the problem has occurred. Also identify why the problem was not noticed at the time it occurred.
A network diagram can be created by hand or by using diagram software. There are two types of network diagrams, activity on arrow and activity on node . Activity on node diagrams are generally easier to create and interpret. To create an AON diagram, it is recommended (but not required) to start with a node named start. This "activity" has a ...
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