This page maps the syllabus of IB Mathematics: Analysis and Approaches SL to the Brilliant lessons that teach it. The IB organizes the course into five topics, and the numbered items within those topics are the rows below. Search by syllabus item or skill to find the closest match. An item is listed only where Brilliant content fully or in part addresses it directly.
Analysis and Approaches is the more algebraic of the IB's two mathematics courses; Applications and Interpretation is the other, and is not mapped here. Standard Level shares its syllabus with Higher Level, which adds further content of its own — that is a separate page.
Topic 1 — Number and algebra (SL 1.1–1.9, 19 suggested hours)
Topic 2 — Functions (SL 2.1–2.11, 21 suggested hours)
Topic 3 — Geometry and trigonometry (SL 3.1–3.8, 25 suggested hours)
| IB syllabus item | What the syllabus item asks | Brilliant targeted skill |
|---|---|---|
| SL.3.2 | Use of sine, cosine and tangent ratios to find the sides and angles of right-angled triangles; the sine rule; the cosine rule; the area of a triangle as ½·ab·sin C. | Trigonometric Functions — Finding special right triangle sides |
| SL.3.4 | The circle: radian measure of angles; length of an arc; area of a sector. | Trigonometric Functions — Computing arc length, Constructing angles in radians, Constructing unit circle arcs, Converting degrees and radians, Identifying angles from geometry; Polar Coordinate Plane — Computing arc lengths from angles, Computing arc lengths from fractions, Describing features in radians, Finding angles from arc lengths, Plotting points using radians |
| SL.3.5 | Definition of cos θ and sin θ in terms of the unit circle, including the relationship between angles in different quadrants; definition of tan θ as sin θ / cos θ; exact values of the trigonometric ratios of 0, π/6, π/4, π/3, π/2 and their multiples; extension of the sine rule to the ambiguous case. | Trigonometric Functions — Applying complementary angle relationships, Applying symmetry and periodicity rules, Determining tangent sign by quadrant, Evaluating sine and cosine, Evaluating tangent at an angle, Evaluating trig functions in radians, Evaluating trig values at key angles, Finding angle pairs for trig values, Reading cosine from circular motion, Reading sine from circular motion; Polar Coordinate Plane — Computing angles with inverse tangent, Computing x and y from polar, Converting to polar coordinates, Finding quadrants from angles |
| SL.3.6 | The Pythagorean identity cos²θ + sin²θ = 1; double angle identities for sine and cosine; the relationship between trigonometric ratios. | Trigonometric Functions — Using the Pythagorean identity |
| SL.3.7 | The circular functions sin x, cos x and tan x — amplitude, their periodic nature and their graphs; composite functions of the form f(x) = a·sin(b(x + c)) + d; transformations; real-life contexts. | Trigonometric Functions — Computing period from rotation speed, Finding transformed function periods, Identifying amplitude and midline, Identifying periodic function features, Identifying phase shift relationships, Matching functions with transformations, Predicting periodic values, Transforming periodic functions |
| SL.3.8 | Solving trigonometric equations in a finite interval, both graphically and analytically, including equations leading to quadratic equations in sin x, cos x or tan x. | Trigonometric Functions — Factoring non-linear trig equations, Solving equations from the tangent graph, Solving equations from trig graphs, Solving equations with inverse cosine, Solving equations with inverse sine, Solving trig equations on an interval |
Topic 4 — Statistics and probability (SL 4.1–4.12, 27 suggested hours)
| IB syllabus item | What the syllabus item asks | Brilliant targeted skill |
|---|---|---|
| SL.4.1 | Concepts of population, sample, random sample, discrete and continuous data; reliability of data sources and bias in sampling; interpretation of outliers; sampling techniques and their effectiveness. | Everyday Statistics — Using the outlier rule |
| SL.4.2 | Presentation of data, discrete and continuous: frequency distributions (tables); histograms; cumulative frequency and cumulative frequency graphs, used to find median, quartiles, percentiles, range and interquartile range; production and understanding of box and whisker diagrams. | Exploring Data Visually — Compare boxplots across datasets, Find frequencies and percentiles from a histogram, Group a data table to summarize categories, Read median, quartiles, and extremes from a boxplot, Reading histograms; Everyday Statistics — Comparing data sets with box plots, Matching data to box plots, Reading box plots |
| SL.4.3 | Measures of central tendency (mean, median and mode), including estimation of the mean from grouped data; modal class; measures of dispersion (interquartile range, standard deviation and variance); the effect of constant changes on the original data; quartiles of discrete data. | Everyday Statistics — Combining groups to find the mean, Comparing mean, median, and mode, Finding quartiles, Finding the mean (the average) of a data set, Finding the mean of uneven data, Finding the median, Seeing how outliers affect the mean, Splitting data into quarters, Updating the mean with new data, Updating the median with new data |
| SL.4.4 | Linear correlation of bivariate data; Pearson's product-moment correlation coefficient r; scatter diagrams and lines of best fit by eye passing through the mean point; the equation of the regression line of y on x, its use for prediction, and interpretation of the parameters a and b in y = ax + b. | Regression — Checking the groups inside data, Choosing the best predictor, Fitting a line to data, Interpreting correlations in context, Modeling one subgroup at a time, Predicting from a model equation, Predicting from a regression line, Reading correlation from a scatter plot, Spotting nonlinear relationships; Exploring Data Visually — Describe the relationship in a scatter plot, Describing how two things relate, Judging how strongly things relate |
| SL.4.5 | Concepts of trial, outcome, equally likely outcomes, relative frequency, sample space (U) and event; the probability of an event A as P(A) = n(A)/n(U); complementary events A and A′; expected number of occurrences. | Probability and Chance — Calculating probability, Changing probability by removing options, Comparing the likelihood of outcomes, Counting possible outcomes, Finding the probability something won't happen; Probability in Data — Estimating probabilities from past data |
| SL.4.6 | Use of Venn diagrams, tree diagrams, sample space diagrams and tables of outcomes to calculate probabilities; combined events, P(A ∪ B) = P(A) + P(B) − P(A ∩ B); mutually exclusive events, P(A ∩ B) = 0; conditional probability, P(A | B) = P(A ∩ B)/P(B); probabilities with and without replacement; independent events, P(A ∩ B) = P(A)P(B). | Probability in Data — Adding probabilities of separate outcomes, Combining probabilities across cases, Combining probabilities with a formula, Finding conditional probabilities from data, Finding probabilities of multi-step outcomes, Judging how often a rule fails; Probability and Chance — Counting outcomes across overlapping events, Finding probability given a condition, Finding probability of two unrelated events, Finding the probability of both events, Finding the probability of either event, Using Venn diagrams |
| SL.4.7 | Concept of discrete random variables and their probability distributions; expected value (mean) for discrete data; applications. | Probability and Chance — Calculating expected value, Calculating expected value for multiple events, Comparing expected values |
| SL.4.11 | Formal definition and use of the formulae P(A | B) = P(A ∩ B)/P(B) for conditional probabilities and P(A | B) = P(A) = P(A | B′) for independent events; testing for independence. | Probability in Data — Finding probability of two related events, Identifying when events affect each other |
Topic 5 — Calculus (SL 5.1–5.11, 28 suggested hours)
| IB syllabus item | What the syllabus item asks | Brilliant targeted skill |
|---|---|---|
| SL.5.1 | Introduction to the concept of a limit; the derivative interpreted as a gradient function and as a rate of change; forms of notation for the first derivative. | Calculus — Evaluating limits, Finding rates of change |
| SL.5.3 | The derivative of f(x) = a·xⁿ as f′(x) = a·n·x^(n−1) for n ∈ ℤ, and the derivative of functions of the form f(x) = a·xⁿ + b·x^(n−1) + … where all exponents are integers. | Calculus — Finding derivatives of polynomials |
| SL.5.4 | Tangents and normals at a given point, and their equations. | Calculus — Approximating functions with polynomials |
| SL.5.5 | Introduction to integration as anti-differentiation of functions of the form f(x) = a·xⁿ + b·x^(n−1) + …, where n ∈ ℤ and n ≠ −1; anti-differentiation with a boundary condition to determine the constant term; definite integrals using technology; the area of a region enclosed by a curve y = f(x) and the x-axis where f(x) > 0. | Calculus — Finding antiderivatives |
| SL.5.6 | Derivatives of xⁿ (n ∈ ℚ), sin x, cos x, eˣ and ln x; differentiation of a sum and a multiple of these functions; the chain rule for composite functions; the product and quotient rules. | Calculus — Finding trig and exponential derivatives, Using the chain and quotient rules |
| SL.5.8 | Local maximum and minimum points; testing for maximum and minimum; optimization; points of inflexion with zero and non-zero gradients; concavity. | Calculus — Finding higher-order derivatives, Finding maximums and minimums, Testing for maximums and minimums |
| SL.5.11 | Definite integrals, including the analytical approach, with ∫ from a to b of g′(x)dx = g(b) − g(a); areas of a region enclosed by a curve y = f(x) and the x-axis where f(x) can be positive or negative, without the use of technology; areas between curves. | Calculus — Evaluating integrals |
How this page is built
Every skill in the Brilliant math courses that reach IB Diploma level is mapped to the single syllabus item it aligns with most closely, using the IB's Mathematics: Analysis and Approaches guide for first assessment 2021 as the authority for what each syllabus item requires and where its boundaries fall. Skills that build toward a syllabus item without teaching its stated content are excluded, so a skill appears here only where it addresses the syllabus item directly.
Each skill links to a lesson where it is practised, and hovering a skill shows the description learners see for it. This page is regenerated from the mapping, so it reflects the current state rather than a fixed snapshot.