1) break the problem into smaller and more manageable parts. a) Decomposition b) Pattern Recognition c) Algorithms d) Abstraction e) Evaluation f) Prototyping 2) Analyse the data, look for consistencies and differences to help make sense of the data. a) Decomposition b) Algorithms c) Abstraction d) Pattern Recognition e) Evaluation f) Prototyping 3) Remove any unnecessary details and focus on the important parts. a) Pattern Recognition b) Algorithms c) Decomposition d) Abstraction e) Evaluation f) Prototyping 4) Create a series of ordered steps taken to solve a problem. a) Pattern Recognition b) Algorithms c) Decomposition d) Abstraction e) Evaluation f) Prototyping

Computational Thinking

de
Imprimir
Incorporar

Ranking

Estilo visual

Opções

Alterar modelo

Restaurar arquivo salvo automaticamente: ?