Digital Systems and Concepts

Digital Systems and Concepts

Assessment

Flashcard

Computers

7th Grade

Medium

Created by

Mitchell Jones

Used 1+ times

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27 questions

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1.

FLASHCARD QUESTION

Front

Computational thinking

Back

The process of recognising aspects of computation in the world and being able to think logically, algorithmically, recursively and inferentially. It involves inferential thinking, defining problems through decomposition, documenting steps and decisions through algorithms, using programming languages and software, and evaluating solutions.

2.

FLASHCARD QUESTION

Front

Conventions

Back

General or formal agreements to ensure consistency and clarity when working with digital systems. Examples include program names and file names. Conventions can be mandatory or recommended.

3.

FLASHCARD QUESTION

Front

Cybersecurity

Back

An interdisciplinary field including ethics, government, law, organisational policies, and risk management. It involves defensive methods to detect and stop intruders and enable the operation of digital systems.

4.

FLASHCARD QUESTION

Front

Data analytics

Back

Processes and tools that allow organisations to acquire/extract data, analyse it to identify patterns or trends, draw inferences, and present findings using visual methods.

5.

FLASHCARD QUESTION

Front

Data structures

Back

The way data is stored to enable efficient algorithms to optimise program execution time and memory usage. Types include arrays, associative arrays, classes, fields, files, hash tables, linked lists, queues, records, and stacks.

6.

FLASHCARD QUESTION

Front

Data types

Back

Forms that data can take, including binary, Boolean, character, and numeric. They are characterised by the operations that can be performed on them. Examples include integer and floating point.

7.

FLASHCARD QUESTION

Front

Data visualisations

Back

Using software tools to present data as graphic representations like charts, histograms, graphs, maps, etc. They help identify patterns and relationships in large data sets.

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