TECHNOLOGY-02 · Secondary · ENGLISH · PLANNED
Follow a real task through a system, then design and troubleshoot it.
Study time is an initial activity estimate, excluding extra reading, revision and extended laboratory or project work. Videos and question bodies have not been produced by adding this outline.
Complete these courses or demonstrate equivalent knowledge. These are recommended prerequisites, not enforced enrolment locks.
YouTube playlist: ARK Technology | How Computers Work
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Sign in to save this learning pathPractical outcome: Encode a small image and compare storage requirements.
Explain bits using a visual and one worked real-world example. Context: Encode a small image and compare storage requirements. End with a prediction or check-for-understanding.
Explain bytes using a visual and one worked real-world example. Context: Encode a small image and compare storage requirements. End with a prediction or check-for-understanding.
Explain binary numbers using a visual and one worked real-world example. Context: Encode a small image and compare storage requirements. End with a prediction or check-for-understanding.
Explain hexadecimal using a visual and one worked real-world example. Context: Encode a small image and compare storage requirements. End with a prediction or check-for-understanding.
Use the first concepts from this section. Encode a small image and compare storage requirements. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain text encoding using a visual and one worked real-world example. Context: Encode a small image and compare storage requirements. End with a prediction or check-for-understanding.
Explain pixels using a visual and one worked real-world example. Context: Encode a small image and compare storage requirements. End with a prediction or check-for-understanding.
Explain sampled sound using a visual and one worked real-world example. Context: Encode a small image and compare storage requirements. End with a prediction or check-for-understanding.
Explain compression using a visual and one worked real-world example. Context: Encode a small image and compare storage requirements. End with a prediction or check-for-understanding.
Encode a small image and compare storage requirements. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Bits, Bytes, Binary numbers and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Trace an instruction through a simplified processor.
Explain logic gates using a visual and one worked real-world example. Context: Trace an instruction through a simplified processor. End with a prediction or check-for-understanding.
Explain adders using a visual and one worked real-world example. Context: Trace an instruction through a simplified processor. End with a prediction or check-for-understanding.
Explain registers using a visual and one worked real-world example. Context: Trace an instruction through a simplified processor. End with a prediction or check-for-understanding.
Explain instruction cycle using a visual and one worked real-world example. Context: Trace an instruction through a simplified processor. End with a prediction or check-for-understanding.
Use the first concepts from this section. Trace an instruction through a simplified processor. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain cpu using a visual and one worked real-world example. Context: Trace an instruction through a simplified processor. End with a prediction or check-for-understanding.
Explain memory using a visual and one worked real-world example. Context: Trace an instruction through a simplified processor. End with a prediction or check-for-understanding.
Explain cache using a visual and one worked real-world example. Context: Trace an instruction through a simplified processor. End with a prediction or check-for-understanding.
Explain storage devices using a visual and one worked real-world example. Context: Trace an instruction through a simplified processor. End with a prediction or check-for-understanding.
Trace an instruction through a simplified processor. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Logic gates, Adders, Registers and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Explain why two applications need isolated resources.
Explain processes using a visual and one worked real-world example. Context: Explain why two applications need isolated resources. End with a prediction or check-for-understanding.
Explain threads using a visual and one worked real-world example. Context: Explain why two applications need isolated resources. End with a prediction or check-for-understanding.
Explain scheduling using a visual and one worked real-world example. Context: Explain why two applications need isolated resources. End with a prediction or check-for-understanding.
Explain virtual memory using a visual and one worked real-world example. Context: Explain why two applications need isolated resources. End with a prediction or check-for-understanding.
Use the first concepts from this section. Explain why two applications need isolated resources. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain file systems using a visual and one worked real-world example. Context: Explain why two applications need isolated resources. End with a prediction or check-for-understanding.
Explain permissions using a visual and one worked real-world example. Context: Explain why two applications need isolated resources. End with a prediction or check-for-understanding.
Explain device drivers using a visual and one worked real-world example. Context: Explain why two applications need isolated resources. End with a prediction or check-for-understanding.
Explain interrupts using a visual and one worked real-world example. Context: Explain why two applications need isolated resources. End with a prediction or check-for-understanding.
Explain why two applications need isolated resources. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Processes, Threads, Scheduling and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Explain why two applications need isolated resources. Submit an original worked artifact, evidence or tests, assumptions and a reflection. Rubric: correctness, method, practical usefulness, reproducibility and communication. Self-reviewed, not certified.
6–12 balanced questions sampling every section of How Computers Work, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
System diagrams, design reviews and bounded prototypes. Guided work leads to an independent attempt, with a diagram, explanation, trace, calculation or tested artifact. Question bodies are generated when opened in your private learning path. Programming submissions are stored as text; the platform does not execute submitted code.
Use original or appropriately licensed datasets. Practical science activities use models or supplied data unless a qualified supervisor has reviewed a physical experiment.
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