Keywords

Instructions

Scan the QR codes for revision games to help you understand and remember the definitions of the keywords in each topic

You can access each of the revision games at tools.withcode.uk/keywords

The keywords, definitions and games shown here are covered by a Creative Commons Share Alike Non Commercial License. This means that teachers and students are free to adapt, use and share these resources freely, providing that you always credit the original author. For more information go to tools.withcode.uk/keywords/about

HT1: Media

1a: Understand the purpose and uses for mood boards

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1b: Understand the purpose and uses for mind maps

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1c: Understand the purpose and uses for visualisation diagrams

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1d: Understand the purpose and uses for storyboards

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1e: Understand the purpose and uses for scripts

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1f: Review mood boards, mind maps, visualisation diagrams, storyboards or scripts and suggest improvements

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1g: Understand the properties and limitations of file formats for still images, audio, moving images including video and animation

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1h: Be able to identify appropriate file formats for pre-production documents and final products in line with client requirements

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1i: Be able to use suitable naming conventions including version control and organisational requirements

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9 objectives, 55 keywords Revise

HT2: Data Science

2a: Define data science

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2b: Explain how visualising data can help identify patterns and trends in order to help us gain insights

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2c: Use an appropriate software tool to visualise data sets and look for patterns or trends

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2d: Recognise examples of where large data sets are used in daily life

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2e: Select criteria and use data sets to investigate predictions

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2f: Evaluate findings to support arguments for or against a prediction

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2g: Define the terms 'correlation' and 'outliers' in relation to data trends

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2h: Identify the steps of the investigative cycle

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2i: Solve a problem by implementing steps of the investigative cycle on a data set

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2j: Use findings to support a recommendation

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2k: Identify the data needed to answer a question defined by the learner

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2l: Create a data capture form

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2m: Describe the need for data cleansing

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2n: Apply data cleansing techniques to a data set

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2o: Visualise a data set

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2p: Analyse visualisations to identify patterns, trends, and outliers

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2q: Draw conclusions and report findings

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17 objectives, 80 keywords Revise

HT3: Cyber Security

3a: Explain the difference between data and information

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3b: Critique online services in relation to data privacy

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3c: Identify what happens to data entered online

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3d: Explain the need for the Data Protection Act

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3e: Recognise how human errors pose security risks to data

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3f: Implement strategies to minimise the risk of data being compromised through human error

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3g: Define hacking in the context of cyber security

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3h: Explain how a DDoS attack can impact users of online services

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3i: Identify strategies to reduce the chance of a brute force attack being successful

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3j: Explain the need for the Computer Misuse Act

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3k: List the common malware threats

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3l: Examine how different types of malware causes problems for computer systems

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3m: Question how malicious bots can have an impact on societal issues

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3n: Compare security threats against probability and the potential impact to organisations

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3o: Explain how networks can be protected from common security threats

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3p: Identify the most effective methods to prevent cyberattacks

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16 objectives, 99 keywords Revise

HT4: Data Representation

4a: Describe how digital images are composed of individual elements

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4b: Recall that the colour of each picture element is represented using a sequence of binary digits

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4c: Define key terms such as 'pixels', 'resolution', and 'colour depth'

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4d: Describe how an image can be represented as a sequence of bits

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4e: Describe how colour can be represented as a mixture of red, green, and blue, with a sequence of bits representing each colour's intensity

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4f: Compute the representation size of a digital image

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4g: Describe the trade-off between representation size and perceived quality for digital images

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4h: Perform basic image editing tasks using appropriate software and combine them in order to solve more complex problems requiring image manipulation

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4i: Explain how the manipulation of digital images amounts to arithmetic operations on their digital representation

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4j: Describe and assess the creative benefits and ethical drawbacks of digital manipulation

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4k: Recall that sound is a wave

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4l: Explain the function of microphones and speakers as components that capture and generate sound

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4m: Define key terms such as 'sample', 'sampling frequency/rate', 'sample size'

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4n: Describe how sounds are represented as sequences of bits

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4o: Calculate representation size for a given digital sound, given its attributes

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4p: Explain how attributes such as sampling frequency and sample size affect characteristics such as representation size and perceived quality, and the trade-offs involved

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4q: Recall that bitmap images and pulse code sound are not the only binary representations of images and sound available

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4r: Define 'compression', and describe why it is necessary

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18 objectives, 105 keywords Revise

HT5: Python

5a: Write programs that display messages, receive keyboard input, and use simple arithmetic expressions in assignment statements

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5b: Use selection (if-elif-else statements) to control the flow of program execution

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5c: Locate and correct common syntax errors

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5d: Create lists and access individual list items

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5e: Perform common operations on lists or individual items

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5f: Use iteration (while statements) to control the flow of program execution

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5g: Perform common operations on strings or individual characters

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5h: Use iteration (for statements) to iterate over list items

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5i: Perform common operations on lists or strings

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5j: Use iteration (for loops) to iterate over lists and strings

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5k: Use variables to keep track of counts and sums

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5l: Combine key programming language features to develop solutions to meaningful problems

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12 objectives, 95 keywords Revise

HT6: Physical Computing

6a: Describe what the micro:bit is.

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6b: List the built-in components for output and input.

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6c: Select hardware components that are fit for purpose.

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6d: Use selection and iteration to control program execution flow.

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6e: Use variables and data structures to keep track of information.

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6f: Write programs that interact with the physical world

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6g: Write programs that use the micro:bit's built-in output devices.

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6h: Write programs that use the micro:bit's built-in input devices.

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6i: Write programs that use the GPIO pins for input and output.

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6j: Write programs that exchange messages wirelessly.

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6k: Combine features to develop solutions to meaningful problems.

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6l: Call functions and use the results they return in expressions.

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6m: Use an IDE to write and execute a Python program.

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6n: Locate and correct common syntax errors.

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6o: Use an IDE to write Python programs for the micro:bit.

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6p: Test and debug Python programs for the micro:bit.

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6q: Combine components to solve meaningful problems.

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6r: Design a physical computing artifact purposefully.

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6s: Implement the design of a physical computing project.

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6t: Decompose the functions of a physical computing system.

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6u: Test, revise, and refine the design of a project.

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21 objectives, 128 keywords Revise