BIOLOGY-09 · Undergraduate · ENGLISH · PLANNED
Zoom from organism to mechanism, then evaluate the biological evidence.
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 Biology | Molecular Biology and Genomics
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Sign in to save this learning pathPractical outcome: Explain how a cell maintains information using annotated diagrams.
Explain dna replication enzymes using a visual and one worked real-world example. Context: Explain how a cell maintains information using annotated diagrams. End with a prediction or check-for-understanding.
Explain leading and lagging strands using a visual and one worked real-world example. Context: Explain how a cell maintains information using annotated diagrams. End with a prediction or check-for-understanding.
Explain proofreading using a visual and one worked real-world example. Context: Explain how a cell maintains information using annotated diagrams. End with a prediction or check-for-understanding.
Explain dna repair using a visual and one worked real-world example. Context: Explain how a cell maintains information using annotated diagrams. End with a prediction or check-for-understanding.
Use the first concepts from this section. Explain how a cell maintains information using annotated diagrams. 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 recombination mechanisms using a visual and one worked real-world example. Context: Explain how a cell maintains information using annotated diagrams. End with a prediction or check-for-understanding.
Explain chromatin using a visual and one worked real-world example. Context: Explain how a cell maintains information using annotated diagrams. End with a prediction or check-for-understanding.
Explain telomeres using a visual and one worked real-world example. Context: Explain how a cell maintains information using annotated diagrams. End with a prediction or check-for-understanding.
Explain genome organisation using a visual and one worked real-world example. Context: Explain how a cell maintains information using annotated diagrams. End with a prediction or check-for-understanding.
Explain how a cell maintains information using annotated diagrams. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering DNA replication enzymes, Leading and lagging strands, Proofreading and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Interpret a supplied gene-expression experiment with controls.
Explain transcription initiation using a visual and one worked real-world example. Context: Interpret a supplied gene-expression experiment with controls. End with a prediction or check-for-understanding.
Explain rna processing using a visual and one worked real-world example. Context: Interpret a supplied gene-expression experiment with controls. End with a prediction or check-for-understanding.
Explain translation initiation using a visual and one worked real-world example. Context: Interpret a supplied gene-expression experiment with controls. End with a prediction or check-for-understanding.
Explain protein targeting using a visual and one worked real-world example. Context: Interpret a supplied gene-expression experiment with controls. End with a prediction or check-for-understanding.
Use the first concepts from this section. Interpret a supplied gene-expression experiment with controls. 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 prokaryotic regulation using a visual and one worked real-world example. Context: Interpret a supplied gene-expression experiment with controls. End with a prediction or check-for-understanding.
Explain eukaryotic regulation using a visual and one worked real-world example. Context: Interpret a supplied gene-expression experiment with controls. End with a prediction or check-for-understanding.
Explain regulatory rnas using a visual and one worked real-world example. Context: Interpret a supplied gene-expression experiment with controls. End with a prediction or check-for-understanding.
Explain protein degradation using a visual and one worked real-world example. Context: Interpret a supplied gene-expression experiment with controls. End with a prediction or check-for-understanding.
Interpret a supplied gene-expression experiment with controls. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Transcription initiation, RNA processing, Translation initiation and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Analyse a benign public sequence dataset without conducting wet-lab manipulation.
Explain sequencing principles using a visual and one worked real-world example. Context: Analyse a benign public sequence dataset without conducting wet-lab manipulation. End with a prediction or check-for-understanding.
Explain read quality using a visual and one worked real-world example. Context: Analyse a benign public sequence dataset without conducting wet-lab manipulation. End with a prediction or check-for-understanding.
Explain sequence alignment using a visual and one worked real-world example. Context: Analyse a benign public sequence dataset without conducting wet-lab manipulation. End with a prediction or check-for-understanding.
Explain genome assembly concept using a visual and one worked real-world example. Context: Analyse a benign public sequence dataset without conducting wet-lab manipulation. End with a prediction or check-for-understanding.
Use the first concepts from this section. Analyse a benign public sequence dataset without conducting wet-lab manipulation. 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 variant calling concept using a visual and one worked real-world example. Context: Analyse a benign public sequence dataset without conducting wet-lab manipulation. End with a prediction or check-for-understanding.
Explain transcriptomics using a visual and one worked real-world example. Context: Analyse a benign public sequence dataset without conducting wet-lab manipulation. End with a prediction or check-for-understanding.
Explain gene annotation using a visual and one worked real-world example. Context: Analyse a benign public sequence dataset without conducting wet-lab manipulation. End with a prediction or check-for-understanding.
Explain functional inference limits using a visual and one worked real-world example. Context: Analyse a benign public sequence dataset without conducting wet-lab manipulation. End with a prediction or check-for-understanding.
Analyse a benign public sequence dataset without conducting wet-lab manipulation. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Sequencing principles, Read quality, Sequence alignment and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Analyse a benign public sequence dataset without conducting wet-lab manipulation. 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 Molecular Biology and Genomics, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
Annotated systems, sequence analysis and observational investigations. 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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