BIOLOGY-11 · 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 | Developmental Biology and Neuroscience
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Sign in to save this learning pathPractical outcome: Interpret a time series showing cell-fate changes.
Explain cell fate using a visual and one worked real-world example. Context: Interpret a time series showing cell-fate changes. End with a prediction or check-for-understanding.
Explain potency using a visual and one worked real-world example. Context: Interpret a time series showing cell-fate changes. End with a prediction or check-for-understanding.
Explain morphogen gradients using a visual and one worked real-world example. Context: Interpret a time series showing cell-fate changes. End with a prediction or check-for-understanding.
Explain pattern formation using a visual and one worked real-world example. Context: Interpret a time series showing cell-fate changes. End with a prediction or check-for-understanding.
Use the first concepts from this section. Interpret a time series showing cell-fate changes. 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 gastrulation using a visual and one worked real-world example. Context: Interpret a time series showing cell-fate changes. End with a prediction or check-for-understanding.
Explain organogenesis using a visual and one worked real-world example. Context: Interpret a time series showing cell-fate changes. End with a prediction or check-for-understanding.
Explain gene regulatory networks using a visual and one worked real-world example. Context: Interpret a time series showing cell-fate changes. End with a prediction or check-for-understanding.
Explain regeneration using a visual and one worked real-world example. Context: Interpret a time series showing cell-fate changes. End with a prediction or check-for-understanding.
Interpret a time series showing cell-fate changes. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Cell fate, Potency, Morphogen gradients and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Explain an electrical trace from a neuron model.
Explain resting potential using a visual and one worked real-world example. Context: Explain an electrical trace from a neuron model. End with a prediction or check-for-understanding.
Explain ion channels using a visual and one worked real-world example. Context: Explain an electrical trace from a neuron model. End with a prediction or check-for-understanding.
Explain action potential using a visual and one worked real-world example. Context: Explain an electrical trace from a neuron model. End with a prediction or check-for-understanding.
Explain synaptic transmission using a visual and one worked real-world example. Context: Explain an electrical trace from a neuron model. End with a prediction or check-for-understanding.
Use the first concepts from this section. Explain an electrical trace from a neuron 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 neurotransmitters using a visual and one worked real-world example. Context: Explain an electrical trace from a neuron model. End with a prediction or check-for-understanding.
Explain synaptic plasticity using a visual and one worked real-world example. Context: Explain an electrical trace from a neuron model. End with a prediction or check-for-understanding.
Explain neural circuits using a visual and one worked real-world example. Context: Explain an electrical trace from a neuron model. End with a prediction or check-for-understanding.
Explain glial cells using a visual and one worked real-world example. Context: Explain an electrical trace from a neuron model. End with a prediction or check-for-understanding.
Explain an electrical trace from a neuron model. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Resting potential, Ion channels, Action potential and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Relate a behavioural task to competing neural explanations.
Explain sensory coding using a visual and one worked real-world example. Context: Relate a behavioural task to competing neural explanations. End with a prediction or check-for-understanding.
Explain motor control using a visual and one worked real-world example. Context: Relate a behavioural task to competing neural explanations. End with a prediction or check-for-understanding.
Explain learning and memory using a visual and one worked real-world example. Context: Relate a behavioural task to competing neural explanations. End with a prediction or check-for-understanding.
Explain sleep mechanisms using a visual and one worked real-world example. Context: Relate a behavioural task to competing neural explanations. End with a prediction or check-for-understanding.
Use the first concepts from this section. Relate a behavioural task to competing neural explanations. 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 decision circuits using a visual and one worked real-world example. Context: Relate a behavioural task to competing neural explanations. End with a prediction or check-for-understanding.
Explain brain imaging principles using a visual and one worked real-world example. Context: Relate a behavioural task to competing neural explanations. End with a prediction or check-for-understanding.
Explain causal perturbation concepts using a visual and one worked real-world example. Context: Relate a behavioural task to competing neural explanations. End with a prediction or check-for-understanding.
Explain limits of brain-behaviour inference using a visual and one worked real-world example. Context: Relate a behavioural task to competing neural explanations. End with a prediction or check-for-understanding.
Relate a behavioural task to competing neural explanations. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Sensory coding, Motor control, Learning and memory and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Relate a behavioural task to competing neural explanations. 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 Developmental Biology and Neuroscience, 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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