Measure cells without confusing size and magnification
Calibrate synthetic and recorded images, document endpoint choices and distinguish measurement from interpretation.
Explain living systems by connecting measurements, matter, energy and inherited information.
This is the course outline. Open a unit to choose a lesson; every lesson opens on its own page. Explanations and experiments live inside those lesson pages.
The first twenty-eight lessons are available: cell measurement, cellular organization, diffusion, osmosis, enzyme investigations, photosynthesis, respiration, carbon accounting, coding sequences, meiosis, inheritance, evolution, organism regulation and ecology. A seed-growth notebook now supports your own repeated observations and a saved report. Twenty-two public cases, in the original and expanded sets, support answer practice and saved explanation drafts. Two measured-data lessons use the frozen CC0 Palmer penguins dataset to investigate variation, missingness and confounding. The cell-measurement lesson also provides a licensed onion micrograph with calibration, uncertainty and records you can append to your reflection. This bounded teaching sequence includes retained investigation and assessment workflows. Broader study and authentic practical evaluation remain distinct from authored content.
Use arithmetic, ratios and graph reading. Each investigation explains its additional mathematics. No programming is required. Scientific inquiry supplies optional preparation in fair comparisons and evidence.
0/28 currently published notebooks completed. Your saved lesson records are retained independently of course-content updates. This count is not full-course completion or demonstrated mastery.
Continue: Measure cells without confusing size and magnificationCalibrate synthetic and recorded images, document endpoint choices and distinguish measurement from interpretation.
Explain how membranes, ribosomes and genetic material support cellular functions without inferring invisible structures from size alone.
Distinguish net movement from the continuing motion of particles at equilibrium.
Use water and solute conservation to explain osmotic redistribution and recognize the effect of pressure in real cells.
Explain saturation and distinguish a rate from the total amount of product.
Design a substrate series with controls and distinguish capacity evidence from claims about temperature or pH.
Connect light capture, carbon fixation and an observable gas signal without treating light as matter.
Balance an ideal glucose-oxygen reaction and distinguish its material endpoint from rate and ATP yield.
Use a light-dark comparison to separate competing interpretations and state its assumptions.
Construct a conserved carbon ledger and distinguish organic-carbon change from wet mass or energy.
Distinguish coding-strand DNA, an mRNA codon and an amino-acid assignment while stating the fixed-frame assumption.
Classify the modeled coding consequence without inferring an organism-level effect from a codon alone.
Explain why DNA replication does not double ploidy and why meiosis reduces chromosome sets.
Calculate genotype probabilities and distinguish genotype, phenotype and allele frequency.
Interpret sampling variation without selectively reporting seeds that match a preferred ratio.
Calculate a normalized next-generation frequency and identify conditions that the model excludes.
Explain how allele frequencies can change under neutral sampling and compare replicated simulations without cherry-picking.
Interpret an unrooted quartet and compare minimum-change explanations without treating the best score as proof.
Explain symmetric gene flow and distinguish geographic separation, genetic difference and reproductive isolation.
Explain negative feedback as an interacting process and distinguish a model target from a biological normal range.
Reconcile plant water fluxes and explain how stomatal responses connect water balance with gas exchange.
Interpret carrying capacity as a contextual model parameter and identify when a coarse update gives an implausible forecast.
Calculate successive energy transfers without treating efficiency as universal or energy as a cycling nutrient.
Distinguish abundance density from detected richness and explain how spatial selection changes ecological evidence.
Reconstruct a measured-data summary and distinguish biological variation, missingness and measurement uncertainty.
Identify confounding in observational comparisons and design a better-supported follow-up.
Reconstruct a simultaneous nutrient update and explain how changing one transfer affects several pools.
Track a disturbance across a system boundary and specify which recovery outcomes the model cannot establish.
Keep plant identities, missing observations and comparison groups explicit. A saved submission requires human review.
The cases include reinforcement as well as transfer practice. First responses and feedback exposure are retained. Public case results do not establish course mastery.
Twenty-two CPU teaching models produce synthetic predictions; the separate penguin workbench analyzes recorded measurements. Captures preserve the appropriate model settings or frozen-dataset filters and explanations, not physical laboratory competence. The recorded onion image supports image measurement; practical microscope operation still needs observation and review beyond this release. Practice feedback checks particular claims; it does not automatically grade an entire scientific argument.
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