CHEMISTRY-12 · Undergraduate · 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 | Biochemistry and Chemical Biology
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Sign in to save this learning pathPractical outcome: Relate molecular structure to a supplied food-composition example.
Explain amino acids using a visual and one worked real-world example. Context: Relate molecular structure to a supplied food-composition example. End with a prediction or check-for-understanding.
Explain peptide bonds using a visual and one worked real-world example. Context: Relate molecular structure to a supplied food-composition example. End with a prediction or check-for-understanding.
Explain protein structure using a visual and one worked real-world example. Context: Relate molecular structure to a supplied food-composition example. End with a prediction or check-for-understanding.
Explain carbohydrates using a visual and one worked real-world example. Context: Relate molecular structure to a supplied food-composition example. End with a prediction or check-for-understanding.
Use the first concepts from this section. Relate molecular structure to a supplied food-composition example. 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 lipids using a visual and one worked real-world example. Context: Relate molecular structure to a supplied food-composition example. End with a prediction or check-for-understanding.
Explain nucleotides using a visual and one worked real-world example. Context: Relate molecular structure to a supplied food-composition example. End with a prediction or check-for-understanding.
Explain nucleic acids using a visual and one worked real-world example. Context: Relate molecular structure to a supplied food-composition example. End with a prediction or check-for-understanding.
Explain noncovalent interactions using a visual and one worked real-world example. Context: Relate molecular structure to a supplied food-composition example. End with a prediction or check-for-understanding.
Relate molecular structure to a supplied food-composition example. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Amino acids, Peptide bonds, Protein structure and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Fit a simple enzyme-rate dataset and state model limits.
Explain enzyme active sites using a visual and one worked real-world example. Context: Fit a simple enzyme-rate dataset and state model limits. End with a prediction or check-for-understanding.
Explain michaelis-menten model using a visual and one worked real-world example. Context: Fit a simple enzyme-rate dataset and state model limits. End with a prediction or check-for-understanding.
Explain km using a visual and one worked real-world example. Context: Fit a simple enzyme-rate dataset and state model limits. End with a prediction or check-for-understanding.
Explain vmax using a visual and one worked real-world example. Context: Fit a simple enzyme-rate dataset and state model limits. End with a prediction or check-for-understanding.
Use the first concepts from this section. Fit a simple enzyme-rate dataset and state model limits. 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 competitive inhibition using a visual and one worked real-world example. Context: Fit a simple enzyme-rate dataset and state model limits. End with a prediction or check-for-understanding.
Explain allosteric regulation using a visual and one worked real-world example. Context: Fit a simple enzyme-rate dataset and state model limits. End with a prediction or check-for-understanding.
Explain atp coupling using a visual and one worked real-world example. Context: Fit a simple enzyme-rate dataset and state model limits. End with a prediction or check-for-understanding.
Explain redox cofactors using a visual and one worked real-world example. Context: Fit a simple enzyme-rate dataset and state model limits. End with a prediction or check-for-understanding.
Fit a simple enzyme-rate dataset and state model limits. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Enzyme active sites, Michaelis-Menten model, Km and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Trace carbon and energy through a simplified pathway map.
Explain glycolysis accounting using a visual and one worked real-world example. Context: Trace carbon and energy through a simplified pathway map. End with a prediction or check-for-understanding.
Explain citric acid cycle using a visual and one worked real-world example. Context: Trace carbon and energy through a simplified pathway map. End with a prediction or check-for-understanding.
Explain electron transport using a visual and one worked real-world example. Context: Trace carbon and energy through a simplified pathway map. End with a prediction or check-for-understanding.
Explain oxidative phosphorylation using a visual and one worked real-world example. Context: Trace carbon and energy through a simplified pathway map. End with a prediction or check-for-understanding.
Use the first concepts from this section. Trace carbon and energy through a simplified pathway map. 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 fatty-acid metabolism using a visual and one worked real-world example. Context: Trace carbon and energy through a simplified pathway map. End with a prediction or check-for-understanding.
Explain photosynthetic carbon fixation using a visual and one worked real-world example. Context: Trace carbon and energy through a simplified pathway map. End with a prediction or check-for-understanding.
Explain metabolic regulation using a visual and one worked real-world example. Context: Trace carbon and energy through a simplified pathway map. End with a prediction or check-for-understanding.
Explain isotope tracing concept using a visual and one worked real-world example. Context: Trace carbon and energy through a simplified pathway map. End with a prediction or check-for-understanding.
Trace carbon and energy through a simplified pathway map. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Glycolysis accounting, Citric acid cycle, Electron transport and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Trace carbon and energy through a simplified pathway map. 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 Biochemistry and Chemical Biology, 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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