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IB Maths AI SL scheme of work

A complete plan for IB Maths AI SL: 64 weeks, 256 lessons, with a quick check most weeks and a test at the end of each unit. Here is the whole plan at a glance and one lesson in full.

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A sample lesson, in full

Week 2 · Lesson 4 · Unit 1 · Number & Algebra

Approximation 2: Upper & Lower Bounds and Percentage Error

By the end of the lesson students can
Find upper and lower bounds of rounded values and calculate percentage error, such as the error when 3.14 is used for π.
Syllabus reference
SL Topic 1
Quick check FA2
Standard form, approximation and bounds
Misconceptions to watch for
Giving bounds as [value − 0.5×unit, value + 0.5×unit] with the wrong unit of accuracy; confusing percentage error with absolute error.
Then the unit test SA1 (week 6)
Unit 1 Test: Number & Algebra · Paper 1 style · calculator allowed · 45 mins
In the full plan, every lesson also has
The starter for the week, practice and homework on the topic in one click, and a tick to mark it taught for your class.

The course at a glance

FA = a short formative check in that week; SA = an end-of-unit test.

Year 1 (DP1)

32 weeks · 128 lessons · 21 quick checks (FA) · 5 unit tests (SA)

WeekLessonsChecks
Unit 0 · Prior Knowledge Bridge
1PK Diagnostic: Number Skills, Rounding & Standard Form · PK Refresher: Linear Equations, Graphs & Basic Algebra · PK Refresher: Basic Trigonometry, Ratio & Percentages · PK Refresher: Data Handling & Using the GDC/SpreadsheetsFA1
Unit 1 · Number & Algebra
2Standard Form 1: Converting & Interpreting Standard Form · Standard Form 2: Operations, Laws of Exponents (Integer Exponents), Calculator Notation & Estimation · Approximation 1: Decimal Places & Significant Figures · Approximation 2: Upper & Lower Bounds and Percentage ErrorFA2
3Sequences 1: Arithmetic Sequences (nth Term) · Sequences 2: Arithmetic Series (Sum Formula & Sigma Notation) · Sequences 3: Geometric Sequences (nth Term) · Sequences 4: Geometric Series (Sum Formula) & Growth ModelsFA3
4Financial Maths 1: Simple & Compound Interest · Financial Maths 2: Depreciation, Inflation & Currency Conversion · Financial Maths 3: Loans, Amortization & the GDC Finance Solver · Financial Maths 4: Annuities & Modelling Investments with SpreadsheetsFA4
5Systems of Linear Equations 1: Two Variables — Elimination, Substitution & GDC · Systems of Linear Equations 2: Three Variables with the GDC · Systems of Linear Equations 3: Modelling Real-World Problems · Polynomial Equations: Solving Polynomial Equations with the GDC & Interpreting RootsFA5
6Unit 1 Revision: Number & Algebra · Unit 1 Revision: Exam-Style GDC Problem Solving · Unit 1 Revision: Common Misconceptions Clinic · Summative Assessment 1 (SA1)SA1
Unit 2 · Functions
7Functions 1: Function Notation, Domain & Range · Straight Lines 1: Gradient, Intercepts & Equation of a Line · Straight Lines 2: Parallel & Perpendicular Lines · Quadratic Models 1: Factorised & Vertex FormFA6
8Quadratic Models 2: Solving Quadratics — Zeros, Axis of Symmetry & Vertex (GDC and Formula) · Quadratic Models 3: Graphing Parabolas with the GDC · Quadratic Models 4: Modelling Projectile Motion & Optimisation Contexts · Exponential Models 1: Exponential Growth & DecayFA7
Linear Models 2: Piecewise Linear Models · Functions 3: Domain & Range of a Model in Context · Quadratic Models 5: Fitting a Quadratic to Data · Exponential Growth & Decay in Context: Reading the Parameters
9Exponential Models 2: The Number e & Continuous Growth · Exponential Models 3: Finding Parameters of Exponential Models from Data Points & Context · Logarithms 1: log₁₀ & ln — Evaluating with Technology & Solving aˣ = b · Exponential Models 4: Solving for Time or Rate with Logarithms & the GDCFA8
10Straight Lines 3: Linear Models — Cost, Revenue & Break-Even · Further Models 1: Direct & Inverse Variation and Cubic Models · Further Models 2: Sinusoidal Models — a sin(bx) + d and a cos(bx) + d (Degrees) · Functions 2: Inverse Functions, Key Features of Graphs & the Modelling CycleFA9
Further Models 3: Direct & Inverse Variation · Further Models 4: Cubic Models in Context · Further Models 5: Sinusoidal Models from Data · Choosing a Model: Comparing Linear, Quadratic & Exponential Fits
11Unit 2 Revision: Functions · Unit 2 Revision: Exam-Style Problem Solving · Unit 2 Revision: Common Misconceptions Clinic · Summative Assessment 2 (SA2)SA2
Unit 3 · Geometry & Trigonometry
123D Geometry 1: Distances & Midpoints in 3D · 3D Geometry 2: Volume & Surface Area of 3D Solids · Right-Angle Trig 1: SOHCAHTOA & the GDC · 3D Geometry 3: Angles Between Two Lines and Between a Line and a PlaneFA10
13Right-Angle Trig 2: Angles of Elevation & Depression · Right-Angle Trig 3: Bearings & Right-Angle Problems in 3D · Non-Right-Angle Trig 1: The Sine Rule · Circle Geometry 1: Arc Length & Sector Area (Degrees)FA11
14Non-Right-Angle Trig 2: The Cosine Rule · Non-Right-Angle Trig 3: Area of a Triangle (½ab sin C) · Voronoi Diagrams 1: Perpendicular Bisectors & Constructing Cells · Voronoi Diagrams 2: Completing a Voronoi Diagram for Multiple SitesFA12
15Voronoi Diagrams 3: Nearest-Neighbour Interpolation in Context · Voronoi Diagrams 4: Adding a New Site & the Toxic Waste Dump Problem · Consolidation: Geometry & Trigonometry Problem Solving · Consolidation: Voronoi Diagrams & Real-World ApplicationsFA13
16Unit 3 Revision: Geometry & Trigonometry · Unit 3 Revision: Exam-Style Problem Solving · Unit 3 Revision: Common Misconceptions Clinic · Summative Assessment 3 (SA3)SA3
Unit 4 · Statistics & Probability
17Statistics 1: Populations, Samples, Sampling Techniques & Bias · Central Tendency 1: Frequency Tables & Histograms; Mean, Median & Mode · Spread: Variance & Standard Deviation · Statistics 2: Cumulative Frequency, Quartiles, Box Plots & OutliersFA14
18Correlation 1: Scatter Diagrams & Pearson's Correlation Coefficient · Correlation 2: Line of Best Fit & Linear Regression · Correlation 3: Spearman's Rank Correlation, Causation & Limitations · Probability 1: Basic Probability, Venn Diagrams & Sample SpacesFA15
Statistics 3: Grouped Data — Estimating the Mean & Standard Deviation · Statistics 4: Comparing Data Sets with Box Plots · Correlation 4: Interpreting r and the Regression Line · Correlation 5: When to Use Spearman's Rank
19Probability 2: Tree Diagrams & Combined Events · Probability 3: Conditional Probability & Independence · Discrete Distributions 1: Discrete Random Variables & E(X) · Discrete Distributions 2: The Binomial DistributionFA16
Probability 4: Sample Spaces & Expected Numbers of Outcomes · Probability 5: Two-Way Tables & Conditional Probability · Discrete Distributions 3: Expected Value & Fair Games · Discrete Distributions 4: Binomial Probabilities with Technology
20Continuous Distributions 1: The Normal Distribution · Continuous Distributions 2: Normal Probabilities & Inverse Normal with the GDC · Chi-Squared 1: Contingency Tables & Expected Frequencies · Chi-Squared 2: H₀/H₁, Significance Level, Test Statistic, df, p-values/Critical Values & ConclusionsFA17
Continuous Distributions 3: Normal Probabilities in Context · Continuous Distributions 4: Inverse Normal — Finding Boundaries · χ² Test for Independence: A Full Test from a Contingency Table · Hypothesis Testing Language: p-Values, Critical Values & Conclusions
21Unit 4 Revision: Statistics & Probability · Unit 4 Revision: Exam-Style Problem Solving · Unit 4 Revision: Common Misconceptions Clinic · Summative Assessment 4 (SA4)SA4
Unit 5 · Calculus
22Rates of Change 1: Average Rate of Change & Gradients of Chords · Rates of Change 2: Instantaneous Rate of Change & the Gradient of a Curve · Differentiation 1: Differentiating Powers of x · Differentiation 2: Differentiating Sums & Constant MultiplesFA18
23Differentiation 3: Negative Integer Powers, Rewriting Expressions & Gradient at a Point · Differentiation 4: Interpreting f′(x) — Increasing/Decreasing & Sketching Gradient Graphs · Tangents & Normals: Finding Equations at a Point · Optimisation 1: Stationary Points — Solving f′(x) = 0 (Algebraically & with the GDC)FA19
24Optimisation 2: Classifying Maxima & Minima Using the Sign of f′(x) & the GDC · Optimisation 3: Optimisation Problems in Context (Area, Volume, Cost) · Integration 1: Reversing Differentiation (Indefinite Integrals) & Finding c from a Boundary Condition · Integration 2: Definite Integrals with the GDC & Area Under a CurveFA20
25Integration 3: Areas Using the GDC & Integration in Context · Trapezium Rule 1: Estimating Area Under a Curve · Trapezium Rule 2: Accuracy & Comparing with Integration · Consolidation: CalculusFA21
Differentiation 5: Gradient Functions in Context · Tangents & Normals 2: Where the Gradient Takes a Given Value · Optimisation 4: Setting Up Area, Volume & Cost Problems · Integration 4: Areas Under Curves in Context
26Full Course Revision: Number, Algebra & Functions · Full Course Revision: Geometry, Statistics & Calculus · Full Course Revision: Exam Technique & GDC Efficiency · Summative Assessment 5 (SA5): End-of-Year 1 Mock ExamSA5
Year 2 (DP2): show the plan

Year 2 (DP2)

32 weeks · 128 lessons · 18 quick checks (FA) · 6 unit tests (SA)

WeekLessonsChecks
Unit 4 · Statistics & Probability
1Hypothesis Testing Review: H₀, H₁, Significance Levels & p-values · Chi-Squared 3: The χ² Goodness-of-Fit Test · IA Workshop 1: The Exploration — Criteria A–E, Strong Explorations & Choosing a Topic · Chi-Squared 4: Goodness of Fit — Degrees of Freedom & Conclusions in ContextFA1
2t-Tests 1: Comparing Two Means with the t-Test · IA Workshop 2: Aim, Plan & the Level of Mathematics — Topic Approval · t-Tests 2: One-Tailed & Two-Tailed Tests with Technology · Choosing a Test: χ² Independence, χ² Goodness of Fit or t-Test?FA2
Chi-Squared 5: Goodness of Fit to Uniform & Given-Ratio Distributions · t-Tests 3: The Pooled Two-Sample t-Test & Its Assumptions · t-Tests 4: Reading Technology Output & Writing the Decision · Choosing a Test 2: Exam-Style Mixed Questions
3Data Collection Revisited: Sampling Techniques, Bias & Reliability of Data · Bivariate Data: Interpreting Regression Parameters & the Dangers of Extrapolation · Probability in Context: Harder Venn Diagram & Conditional Problems · Consolidation: Statistics & Probability Long-Response QuestionsFA3
Sampling 2: Choosing a Sampling Technique · Bivariate Data 2: Regression with Technology & Interpreting a and b · Probability in Context 2: Expected Value in Games & Decisions · Binomial & Normal in Context: Multi-Step Problems
4Unit 4 Revision: Statistical Tests · Unit 4 Revision: Exam-Style Problem Solving · IA Workshop 3: Writing Up — Communication & Mathematical Presentation (Criteria A & B) · Summative Assessment 1 (SA1)SA1
Unit 2 · Functions (Modelling)
5The Modelling Cycle: Choosing a Model from Data & Context · Exponential Models Revisited: Fitting with Technology & Interpreting Parameters · Sinusoidal Models Revisited: Amplitude, Period & Principal Axis from Data · Cubic & Variation Models in ContextFA4
Exponential Models in Context: Half-Life & Doubling Time · Sinusoidal Models 2: Writing the Model from a Description · Variation Models 2: Fitting y = axⁿ with Technology · Evaluating a Model: Testing Predictions & Reasonable Domains
Unit 1 · Number & Algebra (Applications)
6Financial Maths 5: Amortisation Tables & Comparing Loans · Financial Maths 6: Annuities, Inflation & Real Value · Sequences in Context: Arithmetic vs Geometric Models · Approximation & Error in Measured DataFA5
Unit 3 · Geometry & Trigonometry (Applications)
7Voronoi Diagrams 5: Interpreting Regions & Toxic-Waste-Dump Problems in Context · 3D Problems: Angles, Distances & Surface Area in Context · IA Workshop 4: Personal Engagement, Reflection & Use of Mathematics (Criteria C, D & E) · Bearings & Navigation ProblemsFA6
Unit 5 · Calculus (Applications)
8Rates of Change in Context: Interpreting dy/dx with Units · Optimisation Revisited: Cost, Profit & Volume Problems · Integration in Context: Areas & Accumulated Change · Calculus Long-Response QuestionsFA7
Rates of Change 3: Increasing & Decreasing Intervals · Optimisation 5: Profit & Cost Models · Trapezium Rule 3: Estimating Areas from Tables of Data · Integration in Context 2: Accumulated Change
Unit 2 · Functions (Modelling)
9Linear Models & Break-Even Revisited · Quadratic Models & Optimising with Technology · Solving Equations with Technology: Intersections & Zeros · Functions Long-Response QuestionsFA8
Unit 1 · Number & Algebra (Revision)
10IA Draft Deadline: Complete Draft In — Final Self-Check Against Criteria A–E · Review: Standard Form, Approximation & Error · Review: Arithmetic & Geometric Sequences and Series · Review: Financial Mathematics & the Finance SolverFA9 IA-D
Unit 2 · Functions (Revision)
11Review: Functions — Domain, Range & Inverses · Review: Graphing with Technology — Key Features · Review: Logarithms & Exponential Equations · Review: Choosing & Fitting ModelsFA10
Unit 3 · Geometry & Trigonometry (Revision)
12Review: Coordinate Geometry & Perpendicular Bisectors · Review: Right-Angled & Non-Right-Angled Trigonometry · Review: Arcs, Sectors, Volume & Surface Area · Review: Voronoi DiagramsFA11
Unit 4 · Statistics & Probability (Revision)
13IA Workshop 5: Acting on Draft Feedback & Finalising the Exploration · Review: Descriptive Statistics & Box Plots · Review: Probability & Tree Diagrams · Review: Binomial & Normal DistributionsFA12
Unit 5 · Calculus (Revision)
14Review: Derivatives & Rates of Change · Review: Tangents & Normals · Review: Stationary Points & Optimisation · Review: Integration & the Trapezium RuleFA13
Full Course Revision · End of Term 1
15Full Course Revision: Paper 1 (Calculator, Short Response) Technique · Full Course Revision: Paper 2 (Calculator, Extended Response) Technique & GDC Efficiency · Full Course Revision: Mixed Past-Paper Questions · Summative Assessment 2 (SA2): End-of-Term TestSA2
Mock Examinations · Preparation
16Pre-Mock Revision: Number, Algebra & Functions · Pre-Mock Revision: Geometry & Trigonometry · Pre-Mock Revision: Statistics & Probability · Pre-Mock Revision: Calculus
Mock Examinations
17Mock Exam: Paper 1 (Calculator, Short Response, 90 mins) · Mock Exam: Paper 2 (Calculator, Extended Response, 90 mins) · Post-Mock Review: Paper 1 — Mark Scheme Walk-Through & Corrections · Post-Mock Review: Paper 2 — Error Analysis & a Personal Revision PlanSA3
Unit 4 · Statistics & Probability (Targeted Revision)
18Targeted Revision: Hypothesis Tests & χ² · Targeted Revision: t-Tests · IA Workshop 6: Final Checks — Referencing, Academic Integrity & Presentation · Targeted Revision: Correlation & RegressionFA14
Unit 2 · Functions (Targeted Revision)
19IA Final Submission: Exploration Handed In with the Academic-Integrity Declaration · Targeted Revision: Exponential Models · Targeted Revision: Sinusoidal Models · Targeted Revision: Quadratic & Cubic ModelsFA15 IA-F
Unit 1 · Number & Algebra (Targeted Revision)
20Targeted Revision: Loans & Annuities · Targeted Revision: Geometric Sequences & Growth · Targeted Revision: Systems of Equations with the GDC · Targeted Revision: Percentage Error & BoundsFA16
Unit 3 · Geometry & Trigonometry (Targeted Revision)
21Targeted Revision: Voronoi Diagrams & Perpendicular Bisectors · Targeted Revision: 3D Geometry · Targeted Revision: Sine & Cosine Rules · Targeted Revision: Arcs & SectorsFA17
Unit 5 · Calculus (Targeted Revision)
22Targeted Revision: Differentiation · Targeted Revision: Tangents & Normals · Targeted Revision: Optimisation · Targeted Revision: Integration & the Trapezium RuleFA18
Exam Practice · Paper 1 (Calculator, Short Response)
23Paper 1 Practice: Short-Response Questions by Topic · Paper 1 Practice: Mixed Short-Response Questions · GDC Skills: Solvers, Graphs, Statistics & Finance Apps Under Time Pressure · Paper 1 Practice: A Timed Half Paper
Exam Practice · Paper 2 (Calculator, Extended Response)
24Paper 2 Practice: Extended-Response Questions with the GDC · Paper 2 Practice: Interpreting & Communicating Results in Context · Command Terms & Mark Schemes: Show That, Hence, Justify & Accuracy (3 s.f.) · Paper 2 Practice: A Timed Half Paper
Exam Practice · Timed Papers
25Summative Assessment 4 (SA4): Timed Paper 1 · Summative Assessment 4 (SA4): Timed Paper 2 · SA4 Review: Corrections on Both Papers · Final Revision Priorities: Choosing Your Weakest TopicsSA4
Final Revision · Weak-Topic Clinics
26Weak-Topic Clinic: Number, Algebra & Functions · Weak-Topic Clinic: Geometry & Trigonometry · Weak-Topic Clinic: Statistics & Probability · Weak-Topic Clinic: Calculus
Final Revision · Past Papers
27Past-Paper Walk-Through: Paper 1 · Past-Paper Walk-Through: Paper 2 · Past-Paper Practice: Mixed Long-Response Questions · Past-Paper Practice: Questions Students Choose
Final Revision · Exam Readiness
28Exam Readiness: Formula Booklet Fluency & What Is Not in It · Exam Readiness: Time Management, Marks per Minute & Checking · Exam Readiness: Last Questions & Personal Revision Plans · Exam Leave Begins: Revision Timetable Check-In

The full plan: every lesson with its objective, starters, practice and homework links, your own order and dates, and a tick to mark each lesson taught.

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What the course covers

Every syllabus point in plain English, with practice for each: IB Maths AI SL syllabus checklist.