Level 6 / Honours-level integration
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Evolutionary genomics phylogenetics and population models
Build practical command of Evolutionary genomics phylogenetics and population models for Computational Biology Foundations: explain the concept, make applied-assessment-ready decisions, complete a hands-on public non-identifiable or synthetic dataset, bioinformatics notebook, sequence tool, provenance log, ethics worksheet, and scientific report exercise, and produce evidence that supports the Computational Biology and Bioinformatics Learner role. Work at Level 6 aligned depth by synthesize algorithms, evolutionary modelling, research design, ethics, and independent computational biology.
Advanced undergraduate study comparable in challenge to a bachelor's degree final year.
Assessment evidence: Honours-style independent project using public non-identifiable or synthetic data, dissertation, and presentation.
Academic level alignment describes learning depth. It does not confer university credit or an awarded qualification.
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1. Cells, genes, proteins, organisms, populations, and ecosystems
Evolutionary genomics phylogenetics and population models is studied through cells, genes, proteins, organisms, populations, and ecosystems. In this module, learners connect that foundation to biological organisation, evolution, molecular information, experimental evidence, computation, and ethical data use. At Level 6, the expected performance is to synthesise evidence and independently defend an honours-level decision; claims must follow from stated assumptions and relevant evidence rather than from terminology alone. Unlock the paid lesson to read the complete method, worked example, misconception analysis, glossary, evidence task, and answers.
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2. Variation, inheritance, selection, and biological function
Evolutionary genomics phylogenetics and population models is studied through variation, inheritance, selection, and biological function. In this module, learners connect that foundation to biological organisation, evolution, molecular information, experimental evidence, computation, and ethical data use. At Level 6, the expected performance is to synthesise evidence and independently defend an honours-level decision; claims must follow from stated assumptions and relevant evidence rather than from terminology alone. Unlock the paid lesson to read the complete method, worked example, misconception analysis, glossary, evidence task, and answers.
Lesson reading preview
Biological Sequence Analysis
Richard Durbin, Sean R. Eddy, Anders Krogh and Graeme Mitchison
Unlock the lesson for all three ranked books, lesson-fit guidance, reading tasks, and edition verification notes. Chapter or page references are shown only where a curator has recorded them.