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  2. ADDIE model - Wikipedia

    en.wikipedia.org/wiki/ADDIE_Model

    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 ...

  3. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    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]

  4. CDIO Initiative - Wikipedia

    en.wikipedia.org/wiki/CDIO_Initiative

    CDIO are trademarked initials for Conceive Design Implement Operate. The CDIO Initiative is an educational framework that stresses engineering fundamentals set in the context of conceiving, designing, implementing and operating real-world systems and products.

  5. Program evaluation and review technique - Wikipedia

    en.wikipedia.org/wiki/Program_Evaluation_and...

    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 ...

  6. Federated learning - Wikipedia

    en.wikipedia.org/wiki/Federated_learning

    Diagram of a Federated Learning protocol with smartphones training a global AI model. Federated learning (also known as collaborative learning) is a machine learning technique focusing on settings in which multiple entities (often referred to as clients) collaboratively train a model while ensuring that their data remains decentralized. [1]

  7. Scientific modelling - Wikipedia

    en.wikipedia.org/wiki/Scientific_modelling

    Scientific modelling is an activity that produces models representing empirical objects, phenomena, and physical processes, to make a particular part or feature of the world easier to understand, define, quantify, visualize, or simulate.

  8. Systems analysis - Wikipedia

    en.wikipedia.org/wiki/Systems_analysis

    The field of system analysis relates closely to requirements analysis or to operations research. It is also "an explicit formal inquiry carried out to help a decision maker identify a better course of action and make a better decision than they might otherwise have made." [2]

  9. Conceptual model - Wikipedia

    en.wikipedia.org/wiki/Conceptual_model

    Entity–relationship modeling is a database modeling method, used to produce a type of conceptual schema or semantic data model of a system, often a relational database, and its requirements in a top-down fashion. Diagrams created by this process are called entity-relationship diagrams, ER diagrams, or ERDs.