BIO 202 — Evolution
Interactive simulations · Coe College
What's holding this thing together across generations, and how can you tell when transmission stops?
Lessons
Unit 1 — Measuring spread and the best single summary
Lesson 1
Adding up coin flips until a bell appears
Lesson 2
Resampling to ask if new data still belongs
Lesson 3
Subtracting the line and reading what's left
Lesson 4
Finding the cloud of lines that all fit the data
Lesson 5
Shuffling the predictor to see what chance can do
Lesson 6
Watching the same biology give four different verdicts
Lesson 7
Tracing how much of a parent ends up in their child
Unit 2 — How proportions move when tokens get copied
Lesson 8
Counting the ratios that breed true
Lesson 9
Building the population where nothing changes
Lesson 10
Watching alleles wander in a finite population
Lesson 11
Reading a population's hidden size from how fast it loses variety
Lesson 12
Pushing the allele frequency with selection
Lesson 13
Where deleterious alleles get held in place
Unit 3 — How groups differ, mix, and get their structure
Lesson 14
Counting heterozygote deficits
Lesson 15
How far a population shifts when you breed from the extremes
Lesson 16
Spreading or staying — populations connected by migration
Lesson 17
Helping relatives when cooperation can spread
Lesson 18
Reading trees with rotated nodes
Lesson 19
Removing the family resemblance before comparing species
Unit 4 — How change piles up over long stretches · outlines (text ready, simulators pending)
Lesson 20
Measuring rates across sliding intervals
Lesson 21
Mutation target size and the parallel evolution it produces
Lesson 22
Reading selection off codon ratios
Lesson 23
How incompatibilities pile up between two diverging lineages
Lesson 24
Same outcome, three different histories
Lesson 25
Deciding one species or two — and what would change your mind
Unit 5 — How new units of accounting emerge · outlines (text ready, simulators pending)
Lesson 26 · core
Splitting a change in the average into two pieces
Lesson 27
When the chromosome becomes the unit
Lesson 28
When the genome wins out over the gene
Lesson 29
When the cell wins out over the genome
Lesson 30 · core
When cells stop competing — the body emerges
Lesson 31
When workers stop reproducing — the colony emerges
Lesson 32
When species outpersist each other
Lesson 33
Beyond the species — when the unit doesn't have a name yet
Lesson 34 · capstone
What is an individual?
Scaffolds — small, repeated practice
Short guess-and-check exercises. Each drills a single move across five rounds with different data, before the move gets a name.
Scaffold S1
"No trend" is a distribution
Scaffold S2
Reading the leftovers across datasets
Scaffold S3
Counting the well-mixed baseline
Scaffold S4
Odds a wandering token takes over
Scaffold S5
How long the wandering takes
Scaffold S6
Wandering, a push, or both?
Scaffold S7
How far the finches shift, year by year
Scaffold S8
Reading the push from the change
Scaffold S9
Where making and removing balance
Scaffold S10
Reading the deficit off the counts
Scaffold S11
The gap and the trickle between patches
Scaffold S12
When helping pays across relatedness
Scaffold S13
Reading trees with rotated nodes
Scaffold S14
How the rate shrinks with the window
Scaffold S15
Slopes before and after family history
Scaffold S16
Clashes pile up faster than time
Scaffold S17
How big a target chance has to hit
Scaffold S18
Reading a bias off two kinds of change
Scaffold S19
One end state, three ways to reach it
Scaffold S20
One kind or two — and what would flip it
Cross-cutting drills — bridge two lessons each
Scaffold S21
When holding something fixed helps, and when it hurts
Scaffold S22
What may you legitimately claim?
Scaffold S23
The cloud and the histogram are one cloud
Scaffold S24
When agreeing methods earn trust