CHEMISTRY-13 · Advanced · ENGLISH · PLANNED
Connect visible observations, particle models and chemical notation.
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 Chemistry | Materials, Environmental and Industrial Chemistry
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Sign in to save this learning pathPractical outcome: Compare candidate materials for reusable packaging.
Explain polymer chains using a visual and one worked real-world example. Context: Compare candidate materials for reusable packaging. End with a prediction or check-for-understanding.
Explain polymerisation concepts using a visual and one worked real-world example. Context: Compare candidate materials for reusable packaging. End with a prediction or check-for-understanding.
Explain glass transition using a visual and one worked real-world example. Context: Compare candidate materials for reusable packaging. End with a prediction or check-for-understanding.
Explain cross-linking using a visual and one worked real-world example. Context: Compare candidate materials for reusable packaging. End with a prediction or check-for-understanding.
Use the first concepts from this section. Compare candidate materials for reusable packaging. 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 ceramics using a visual and one worked real-world example. Context: Compare candidate materials for reusable packaging. End with a prediction or check-for-understanding.
Explain composites using a visual and one worked real-world example. Context: Compare candidate materials for reusable packaging. End with a prediction or check-for-understanding.
Explain nanomaterial size effects using a visual and one worked real-world example. Context: Compare candidate materials for reusable packaging. End with a prediction or check-for-understanding.
Explain surface chemistry using a visual and one worked real-world example. Context: Compare candidate materials for reusable packaging. End with a prediction or check-for-understanding.
Compare candidate materials for reusable packaging. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Polymer chains, Polymerisation concepts, Glass transition and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Interpret a supplied water or air dataset with uncertainty.
Explain atmospheric reactions using a visual and one worked real-world example. Context: Interpret a supplied water or air dataset with uncertainty. End with a prediction or check-for-understanding.
Explain aqueous speciation using a visual and one worked real-world example. Context: Interpret a supplied water or air dataset with uncertainty. End with a prediction or check-for-understanding.
Explain carbon cycle chemistry using a visual and one worked real-world example. Context: Interpret a supplied water or air dataset with uncertainty. End with a prediction or check-for-understanding.
Explain pollutant partitioning using a visual and one worked real-world example. Context: Interpret a supplied water or air dataset with uncertainty. End with a prediction or check-for-understanding.
Use the first concepts from this section. Interpret a supplied water or air dataset with uncertainty. 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 persistence using a visual and one worked real-world example. Context: Interpret a supplied water or air dataset with uncertainty. End with a prediction or check-for-understanding.
Explain water treatment principles using a visual and one worked real-world example. Context: Interpret a supplied water or air dataset with uncertainty. End with a prediction or check-for-understanding.
Explain environmental sampling using a visual and one worked real-world example. Context: Interpret a supplied water or air dataset with uncertainty. End with a prediction or check-for-understanding.
Explain life-cycle assessment using a visual and one worked real-world example. Context: Interpret a supplied water or air dataset with uncertainty. End with a prediction or check-for-understanding.
Interpret a supplied water or air dataset with uncertainty. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Atmospheric reactions, Aqueous speciation, Carbon cycle chemistry and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Build a material-and-energy balance for a benign process model.
Explain process flow diagrams using a visual and one worked real-world example. Context: Build a material-and-energy balance for a benign process model. End with a prediction or check-for-understanding.
Explain mass balance using a visual and one worked real-world example. Context: Build a material-and-energy balance for a benign process model. End with a prediction or check-for-understanding.
Explain energy balance using a visual and one worked real-world example. Context: Build a material-and-energy balance for a benign process model. End with a prediction or check-for-understanding.
Explain heterogeneous catalysis using a visual and one worked real-world example. Context: Build a material-and-energy balance for a benign process model. End with a prediction or check-for-understanding.
Use the first concepts from this section. Build a material-and-energy balance for a benign process model. 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 separation processes using a visual and one worked real-world example. Context: Build a material-and-energy balance for a benign process model. End with a prediction or check-for-understanding.
Explain electrochemical manufacturing concepts using a visual and one worked real-world example. Context: Build a material-and-energy balance for a benign process model. End with a prediction or check-for-understanding.
Explain green chemistry metrics using a visual and one worked real-world example. Context: Build a material-and-energy balance for a benign process model. End with a prediction or check-for-understanding.
Explain circular material flows using a visual and one worked real-world example. Context: Build a material-and-energy balance for a benign process model. End with a prediction or check-for-understanding.
Build a material-and-energy balance for a benign process model. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Process flow diagrams, Mass balance, Energy balance and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Build a material-and-energy balance for a benign process model. 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 Materials, Environmental and Industrial Chemistry, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
Molecular models, reaction accounting and supplied laboratory data. 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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