85 core topics
+ 85 prerequisite topics taught
as needed · approximately 46 hours of instruction
including spaced review
An adaptive diagnostic (up to
40 questions) places the student on the course's knowledge
graph — topics already known are credited, and instruction begins exactly
at the learning frontier. Every topic is taught with a worked-example
lesson and auto-graded practice; a topic is mastered at
75%+ and then maintained through spaced reviews on an
expanding schedule. A cumulative quiz follows every 6
lessons. Prerequisite gaps below the course are detected and taught rather
than skipped, so completion certifies the whole tower, not just the top.
| Limits: Graphical & Numerical
[E] |
What value a function approaches — which need not be the value it takes. |
| Evaluating Limits Algebraically
[M] |
Direct substitution — and the factor-and-cancel fix for 0/0. |
| One-Sided Limits
[M] |
Approaching from the left or right — and when the two disagree. |
| Limits by Rationalization
[H] |
Clearing a 0/0 form by multiplying by the conjugate. |
| Infinite Limits & Vertical Asymptotes
[M] |
Where a function blows up: reading the sign of an infinite limit. |
| Limits at Infinity
[M] |
End behavior of rational functions: compare the degrees. |
| Trig Limits
[M] |
The two special limits sin(x)/x → 1 and (1 − cos x)/x → 0. |
| The Squeeze Theorem
[M] |
Trapping a wild function between two tame ones with the same limit. |
| Continuity
[H] |
No jumps, holes, or blow-ups: the limit equals the value. |
| Intermediate Value Theorem
[M] |
A continuous function can't skip values: sign changes force roots. |
| The Limit Definition of the Derivative
[M] |
The derivative is the limit of average rates of change. |
| Derivatives Graphically
[M] |
Reading slopes off a graph. |
| The Power Rule
[M] |
d/dx xⁿ = n·xⁿ⁻¹ for any real n. |
| Sum & Constant-Multiple Rules
[M] |
Differentiate term by term. |
| The Product Rule
[M] |
(fg)′ = f′g + fg′. |
| The Quotient Rule
[M] |
(f/g)′ = (f′g − fg′)/g². |
| Derivatives of Trig Functions
[M] |
d/dx sin x = cos x, d/dx cos x = −sin x, d/dx tan x = sec²x. |
| Derivatives of Exponentials & Logs
[M] |
eˣ is its own derivative; (ln x)′ = 1/x. |
| The Chain Rule
[H] |
d/dx f(g(x)) = f′(g(x)) · g′(x). |
| Combining Differentiation Rules
[H] |
Product, quotient and chain rules together. |
| Implicit Differentiation
[H] |
Differentiating equations that mix x and y. |
| Derivatives of Inverse Trig
[M] |
(arcsin x)′ = 1/√(1−x²), (arctan x)′ = 1/(1+x²). |
| Derivatives of Inverse Functions
[M] |
(f⁻¹)′(b) = 1 / f′(f⁻¹(b)). |
| Higher-Order Derivatives
[M] |
Differentiating again: f″, f‴, … |
| Differentiability & Continuity
[M] |
Differentiable ⇒ continuous, but not conversely. |
| Tangent Lines & Linear Approximation
[M] |
The tangent line is the best local linear stand-in for f. |
| Motion: Position, Velocity, Acceleration
[M] |
v = s′, a = v′; at rest when v = 0. |
| Related Rates
[H] |
Differentiating a geometric relationship with respect to time. |
| Critical Points & Extrema
[M] |
Where f′ = 0 or is undefined — the candidates for extrema. |
| The Mean Value Theorem
[M] |
Somewhere, instantaneous rate equals average rate. |
| Increasing & Decreasing Intervals
[M] |
Sign of f′ decides the direction of f. |
| Concavity & Inflection Points
[M] |
f″ > 0 bends up, f″ < 0 bends down. |
| Curve Sketching & f, f', f''
[M] |
Reading the shape of f from its derivatives. |
| Optimization
[H] |
Maximizing or minimizing with calculus. |
| L'Hôpital's Rule
[M] |
For 0/0 or ∞/∞, differentiate top and bottom. |
| Indeterminate Forms
[M] |
0·∞ and repeated applications. |
| Antiderivatives
[M] |
Reversing differentiation: the power rule backwards. |
| Antiderivatives: Trig & Exponential
[M] |
∫cos = sin, ∫sin = −cos, ∫eˣ = eˣ, ∫1/x = ln|x|. |
| Riemann Sums
[M] |
Approximating area with rectangles. |
| The Trapezoidal Rule
[M] |
Averaging left and right sums. |
| Properties of Definite Integrals
[M] |
Linearity, additivity, and orientation. |
| The Fundamental Theorem: Evaluating Integrals
[M] |
∫ₐᵇ f = F(b) − F(a). |
| Accumulation Functions & FTC Part 1
[H] |
d/dx ∫ₐˣ f(t) dt = f(x). |
| u-Substitution
[H] |
The chain rule in reverse. |
| Integration by Parts (BC)
[H] |
∫u dv = uv − ∫v du. |
| Partial Fractions (BC)
[H] |
Splitting rational functions to integrate them. |
| Improper Integrals (BC)
[H] |
Integrals to infinity, defined by limits. |
| Integrals Yielding Inverse Trig
[H] |
1/(1+x²) → arctan, 1/√(1−x²) → arcsin. |
| Average Value of a Function
[M] |
f_avg = (1/(b−a)) ∫ₐᵇ f. |
| Motion: Displacement & Distance
[H] |
Displacement is ∫v; distance is ∫|v|. |
| Accumulation & Net Change
[H] |
Final amount = initial + ∫(rate). |
| Analyzing Accumulation Functions
[H] |
Reading g(x) = ∫f from the graph of f. |
| Area Between Curves
[H] |
∫(top − bottom) between the intersections. |
| Volumes: Disc & Washer
[H] |
V = π∫R² dx (discs), π∫(R² − r²) dx (washers). |
| Volumes by Cross-Section
[H] |
V = ∫A(x) dx for known cross-sectional areas. |
| Arc Length (BC)
[H] |
L = ∫√(1 + (y′)²) dx. |
| Differential Equations: Verifying Solutions
[M] |
A solution is a function that satisfies the equation. |
| Slope Fields
[M] |
A picture of dy/dx at every point. |
| Euler's Method (BC)
[H] |
Stepping along tangent lines. |
| Separation of Variables
[H] |
Move all y's left, all x's right, integrate both sides. |
| Exponential Growth & Decay Models
[M] |
dy/dt = ky means y = y₀e^{kt}. |
| Logistic Growth (BC)
[H] |
Growth limited by a carrying capacity L. |
| Parametric Derivatives (BC)
[H] |
dy/dx = (dy/dt)/(dx/dt). |
| Parametric Second Derivatives (BC)
[H] |
Differentiate dy/dx with respect to t, divide by dx/dt again. |
| Parametric Arc Length (BC)
[H] |
L = ∫√((dx/dt)² + (dy/dt)²) dt. |
| Vector-Valued Functions (BC)
[H] |
Differentiate component by component. |
| Motion in the Plane (BC)
[H] |
Speed is the magnitude of velocity. |
| Slopes of Polar Curves (BC)
[H] |
Convert to parametric: x = r cos θ, y = r sin θ. |
| Area in Polar Coordinates (BC)
[H] |
A = ½∫r² dθ. |
| Area Between Polar Curves (BC)
[H] |
Subtract the inner sweep from the outer sweep. |
| Convergence of Sequences (BC)
[M] |
A sequence converges if aₙ approaches a limit. |
| Geometric Series (BC)
[M] |
Σarⁿ = a/(1−r) when |r| < 1. |
| The nth-Term Test (BC)
[M] |
If terms don't go to 0, the series diverges — but 0 proves nothing. |
| Integral Test & p-Series (BC)
[M] |
Σ1/nᵖ converges iff p > 1. |
| Comparison Tests (BC)
[M] |
Compare with a series you already understand. |
| Alternating Series (BC)
[M] |
Alternating + decreasing to 0 ⇒ converges. |
| Alternating Series Error Bound (BC)
[H] |
|error| ≤ first omitted term. |
| The Ratio Test (BC)
[H] |
L = lim|aₙ₊₁/aₙ|: L<1 converges, L>1 diverges, L=1 says nothing. |
| Absolute vs Conditional Convergence (BC)
[M] |
Does it still converge with all terms made positive? |
| Radius of Convergence (BC)
[H] |
The ratio test gives |x − c| < R. |
| Interval of Convergence (BC)
[H] |
Check both endpoints separately. |
| Taylor Polynomials (BC)
[H] |
Matching derivatives at a point: Pₙ(x) = Σ f⁽ᵏ⁾(a)(x−a)ᵏ/k!. |
| Taylor & Maclaurin Series (BC)
[H] |
The big four: eˣ, sin x, cos x, 1/(1−x). |
| Manipulating Known Series (BC)
[H] |
Substitute, multiply, differentiate, integrate known series. |
| Lagrange Error Bound (BC)
[H] |
|Rₙ| ≤ M|x−a|ⁿ⁺¹/(n+1)!. |