TECHNOLOGY-13 · Advanced · 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 | Engineering Systems, Energy and Emerging Technologies
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Sign in to save this learning pathPractical outcome: Compare two designs using constraints cost and failure modes.
Explain requirements tradeoffs using a visual and one worked real-world example. Context: Compare two designs using constraints cost and failure modes. End with a prediction or check-for-understanding.
Explain prototyping using a visual and one worked real-world example. Context: Compare two designs using constraints cost and failure modes. End with a prediction or check-for-understanding.
Explain tolerances using a visual and one worked real-world example. Context: Compare two designs using constraints cost and failure modes. End with a prediction or check-for-understanding.
Explain reliability using a visual and one worked real-world example. Context: Compare two designs using constraints cost and failure modes. End with a prediction or check-for-understanding.
Use the first concepts from this section. Compare two designs using constraints cost and failure modes. 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 failure-mode analysis using a visual and one worked real-world example. Context: Compare two designs using constraints cost and failure modes. End with a prediction or check-for-understanding.
Explain systems integration using a visual and one worked real-world example. Context: Compare two designs using constraints cost and failure modes. End with a prediction or check-for-understanding.
Explain verification versus validation using a visual and one worked real-world example. Context: Compare two designs using constraints cost and failure modes. End with a prediction or check-for-understanding.
Explain life-cycle design using a visual and one worked real-world example. Context: Compare two designs using constraints cost and failure modes. End with a prediction or check-for-understanding.
Compare two designs using constraints cost and failure modes. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Requirements tradeoffs, Prototyping, Tolerances and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Build a conceptual diagram of an energy or communication network.
Explain energy generation using a visual and one worked real-world example. Context: Build a conceptual diagram of an energy or communication network. End with a prediction or check-for-understanding.
Explain battery storage using a visual and one worked real-world example. Context: Build a conceptual diagram of an energy or communication network. End with a prediction or check-for-understanding.
Explain power grids using a visual and one worked real-world example. Context: Build a conceptual diagram of an energy or communication network. End with a prediction or check-for-understanding.
Explain semiconductor manufacturing concepts using a visual and one worked real-world example. Context: Build a conceptual diagram of an energy or communication network. End with a prediction or check-for-understanding.
Use the first concepts from this section. Build a conceptual diagram of an energy or communication network. 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 telecommunications using a visual and one worked real-world example. Context: Build a conceptual diagram of an energy or communication network. End with a prediction or check-for-understanding.
Explain satellite systems using a visual and one worked real-world example. Context: Build a conceptual diagram of an energy or communication network. End with a prediction or check-for-understanding.
Explain additive manufacturing using a visual and one worked real-world example. Context: Build a conceptual diagram of an energy or communication network. End with a prediction or check-for-understanding.
Explain sustainable materials using a visual and one worked real-world example. Context: Build a conceptual diagram of an energy or communication network. End with a prediction or check-for-understanding.
Build a conceptual diagram of an energy or communication network. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Energy generation, Battery storage, Power grids and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Evaluate an emerging-technology claim against demonstrated evidence.
Explain quantum computing concepts using a visual and one worked real-world example. Context: Evaluate an emerging-technology claim against demonstrated evidence. End with a prediction or check-for-understanding.
Explain augmented reality using a visual and one worked real-world example. Context: Evaluate an emerging-technology claim against demonstrated evidence. End with a prediction or check-for-understanding.
Explain edge computing using a visual and one worked real-world example. Context: Evaluate an emerging-technology claim against demonstrated evidence. End with a prediction or check-for-understanding.
Explain digital twins using a visual and one worked real-world example. Context: Evaluate an emerging-technology claim against demonstrated evidence. End with a prediction or check-for-understanding.
Use the first concepts from this section. Evaluate an emerging-technology claim against demonstrated evidence. 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 nanotechnology using a visual and one worked real-world example. Context: Evaluate an emerging-technology claim against demonstrated evidence. End with a prediction or check-for-understanding.
Explain biotechnology interfaces using a visual and one worked real-world example. Context: Evaluate an emerging-technology claim against demonstrated evidence. End with a prediction or check-for-understanding.
Explain technology readiness using a visual and one worked real-world example. Context: Evaluate an emerging-technology claim against demonstrated evidence. End with a prediction or check-for-understanding.
Explain hype versus evidence using a visual and one worked real-world example. Context: Evaluate an emerging-technology claim against demonstrated evidence. End with a prediction or check-for-understanding.
Evaluate an emerging-technology claim against demonstrated evidence. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Quantum computing concepts, Augmented reality, Edge computing and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Evaluate an emerging-technology claim against demonstrated evidence. 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 Engineering Systems, Energy and Emerging Technologies, 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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