*New IB Math courses coming for the IB Class of 2021*

*New IB Math courses coming for the IB Class of 2021*

Hi everyone, I’ve been seeing a lot of posts lately about whether to choose Maths AA or AI, so I’ve decided to compile all my research as a M22 student who chose their subjects two years ago to try and give some insight for incoming IB students. I understand that choosing IB subjects is a crucial decision to make, so please do consult your school, seniors and other relevant people for the best advice. Since I am in no way an educational consultant and am just a M22 student, I cannot guarantee that my advice is world class, but I’ve ensured that this post contains some of the more crucial information about the two maths courses.

**What is Maths AA and AI?**

Maths AA and AI are the two new IB mathematics courses introduced which replaced the old IB mathematics curricula for first assessment in May 2021. Maths AA stands for Mathematics: Analysis and Approaches and Maths AI stands for Mathematics: Applications and Interpretations. If you are an IB Diploma, it is compulsory to take one of these two courses at either Standard Level or Higher Level.

**Why were they introduced to replace the old mathematics courses?**

There is no one officiated document which explicitly explains the reason for replacement. However, with my research across several IB documents, I have come across possible reasons for replacement.All IB subject syllabi are revised in aÂ seven-year teaching cycle, where the revision for mathematics subject were due in 2021. The massive revamps and updates are attributed to a “changing world” which “incorporates the latest education research and lessons learned from a thorough evaluation of the existing curriculum”.The construction of two separate mathematics courses is a response to the “different needs, aspirations, interests and abilities” of individual students, taken fromÂ this DP subject brief.In essence, to spice things up every 7 years, IB had this ingenious idea to split mathematics into two courses to allow for greater mathematics specialisation for their students.

**How are they equivalent to the old mathematics courses?**

It is not wise to compare the new mathematics courses with their old counterparts, as there are significant differences between them. There is no official correspondence, but a gross over simplification of the relation can be described as follows:

‘EQUIVALENT’ OLD SYLLABUS | ‘EQUIVALENT’ NEW SYLLABUS |
---|---|

Further Mathematics HL | (no equivalent) |

Mathematics HL | Mathematics: AA HL |

Mathematics SL | Mathematics: AA SL |

(no equivalent) | Mathematics: AI HL |

Mathematical Studies SL | Mathematics: AI SL |

**DISCLAIMER:**Â As previously mentioned, this is a gross oversimplification of the differences, and the source of the above table is from unreliable sources such as school opinion and unofficial online sources. Please do not base your decisions off of this table, and continue to read on.

**What are the differences between Maths AA and Maths AI?**Â *(tl;dr at end of question)*

Oh, this is the big one, so I’ll cut to the chase. The most prominent differences are found inÂ **the teaching hours for each of the courses’ components**, in this next table. If you can’t understand it, don’t worry, as I’ve explained it after the table.

COMPONENT NAME | AA SL | AI SL | AA HL | AI HL |
---|---|---|---|---|

Number and Algebra | 19 | 16 | 39 | 29 |

Functions | 21 | 31 | 32 | 42 |

Geometry and Trigonometry | 25 | 18 | 51 | 46 |

Statistics and Probability | 27 | 39 | 33 | 52 |

Calculus | 28 | 19 | 55 | 41 |

The table shows that there are significant differences between the two courses in terms of content weightage. In essence:

**Maths AA**Â gives more emphasis onÂ**Number & Algebra, Geometry & Trigonometry**Â andÂ**Calculus**.**Maths AI**Â gives more emphasis onÂ**Functions**Â andÂ**Statistics & Probability**.

The subject brief also describes the nature of the two courses’ syllabi:

**Maths AA:**Develops important mathematical concepts in a rigorous way

Solves abstract problems as well as ones set in a meaningful context

Emphasises on construction, communication and justification of correct mathematical arguments

Teaches students to have insights into mathematical form and structure

**Maths AI:**Emphasises on mathematics used in applications or mathematical modelling

Includes traditional components such as calculus and statistics

Develops strong technology skills

Encourages students to solve real world problems, construct and communicate them mathematically and interpret conclusions or generalisations

There is also a difference in theirÂ **assessments**.

**Maths AA**Â has one paper which prohibits the use of a calculator, Paper 1. Paper 2 and HL Paper 3 permit calculator use.**Maths AI**Â permits calculator use in all papers.

**Maths AA**Â paper 1 and paper 2 each are divided into two sections. Section A has short response questions, and Section B has extended-response questions.**Maths AI**Â paper 1 is exclusively short response questions, and paper 2 is exclusively extended response questions.

Note that HL paper 3 for both AI and AA are extended-response problem solving questions, and both of them share the same format, but have differing questions due to their differing syllabi.

**TL;DR**:Â **Maths AA**Â is the ‘analytical’ based, heavy on calculus and geometry/trigonometry. You cannot use a calculator in one paper.Â **Maths AI**Â is more ‘application’ based, heavy on functions and probability/statistics. You must use a calculator in all papers.

**Which one is more useful in university?**

Also one of the most common questions. Unfortunately, it is a very vague one. Neither is inherently ‘more’ useful, as it is entirely dependent on the region and your ambition in college or university.

If there is a preference for AA or AI in terms of courses, it exists for engineering or mathematics-heavy courses such as Physics or Math degrees. In these cases, AA is preferred or even required, but it only applies to countries that even differentiate between AA or AI.

I have made a very brief summary for certain popular countries for further studies and their trends for preferring AA or AI. But there exists so many exceptions that it is unjustifiable to even call it a ‘trend’ so please take this with a grain of salt and rely more on your own research.

**United States:**Â No AA/AI differentiation, but may require/prefer HL over SL for math heavy degrees**Canada:**Â No AA/AI differentiation, but may require/prefer HL over SL for math heavy degrees**Australia:**Â No AA/AI differentiation**United Kingdom:**Â There are cases of differentiation in a considerable number of universities. Generally, AA HL is the course which opens the most doors, as nearly all engineering and math heavy degrees require AA HL. Many competitive economics programs even prefer or require AA HL. Of course, there are major exceptions, most notably being Oxbridge which has no preference between the two, as they already have their own entrance exams which include maths. Unfortunately, I have personally never seen any case where AI is preferred over AA, but the other way round is very common. Do correct me in the comments if you come by any exception.

**DISCLAIMER:**Â As previously mentioned, there are an insane number of exceptions to the above ‘trends’ so be sure to research on your own as well!

**So, which course should I select?**

Honestly, this depends on a variety of factors. Most notably, your performance and attitude in studying mathematics, and your individual strengths or weaknesses in individual components that may lead you to choose one course or another. If you are one of those all-rounders in mathematics, then perhaps you could choose based on university plans. If you are not confident in mathematics skills but still want to pursue math-related degrees, it is also an important factor to consider.Overall, remember that you are going to spend 2 years with this subject, so make sure you like what you’re doing, and have confidence in doing well in the subject in your IB exams. Do remember to consult your teachers, school, friends and family for advice on subject selection.

So that pretty much is the end. I may have missed out certain points, maybe even have some inaccuracies, but it is the least I could do for future IB students. I hope you found this useful, and do feel free to comment with your own perspectives!

### Â New IBDPÂ **Mathematics: analysis and approaches **courses- Syllabus

**Topic 1: Number and algebra****– **SL content

- Topic : SL 1.1
- Operations with numbers in the form a Ã— 10
^{k}Â where 1 â‰¤ a < 10 and k is an integer.

- Operations with numbers in the form a Ã— 10
- Topic : SL 1.2
- Arithmetic sequences and series. Use of the formulae for the n
^{th}term and the sum of the first n terms of the sequence. - Use of sigma notation for sums of arithmetic sequences.
- Applications.
- Analysis, interpretation and prediction where a model is not perfectly arithmetic in real life.
- approximate common differences.

- Arithmetic sequences and series. Use of the formulae for the n
- Topic : SL 1.3Â
- Geometric sequences and series Use of the formulae for the n th term and the sum of the first n terms of the sequence.
- Use of sigma notation for the sums of geometric sequences.
- Applications
- Examples include the spread of disease, salary increase and decrease and population growth

- Topic : SL 1.4
- Financial applications of geometric sequences and series:
- compound interest
- annual depreciation

- Financial applications of geometric sequences and series:
- Topic : SL 1.5
- Laws of exponents with integer exponents.
- Introduction to logarithms with base 10 and e. Numerical evaluation of logarithms using technology.

- Topic : SL 1.6
- Simple deductive proof, numerical and algebraic; how to lay out a left-hand side to right-hand side (LHS to RHS) proof. The symbols and notation for equality and identity.

- Topic : SL 1.7
- Laws of exponents with rational exponents.
- Laws of logarithms.
- log
_{a}xy = log_{a}x + log_{a}y - loga\(\frac{x}{y}\)=logax – log
_{a}y - log
_{a}x^{m}= mlog_{a}x for a, x, y > 0

- log
- Change of base of a logarithm.
- log
_{a}x = \(\frac{log_bx}{log_ba}\)Â for a, b, x > 0

- log
- Solving exponential equations, including using logarithms

- Topic : SL 1.8
- Sum of infinite convergent geometric sequences.

- Topic : SL 1.9
- The binomial theorem: expansion of (a + b)
^{n}, n âˆˆ â„•. - Use of Pascalâ€™s triangle and
^{n}C_{r}

- The binomial theorem: expansion of (a + b)

**Topic 1: Number and algebra****– AH**L content

- Topic : AHL 1.10
- Counting principles, including permutations and combinations.
- Extension of the binomial theorem to fractional and negative indices, ie (a + b)
^{n }, n âˆˆ â„š.

- Topic : AHL 1.11
- Partial fractions

- Topic : AHL 1.12
- Complex numbers: the number i, where i
^{2}= âˆ’ 1. - Cartesian form z = a + bi; the terms real part, imaginary part, conjugate, modulus and argument.
- The complex plane.

- Complex numbers: the number i, where i
- Topic : AHL 1.13
- Modulusâ€“argument (polar) form \(z = r\left( {\cos \theta + {\text{i}}\sin \theta } \right) = r{\text{cis}}\theta = r{e^{{\text{i}}\theta }}\).
- Euler form: z = re
^{iÎ¸}. - Sums, products and quotients in Cartesian, polar or Euler forms and their geometric interpretation.

- Topic : AHL 1.14
- Complex conjugate roots of quadratic and polynomial equations with real coefficients.
- De Moivreâ€™s theorem and its extension to rational exponents.Â
- Powers and roots of complex numbers.

- Topic : AHL 1.15
- Proof by mathematical induction.
- Proof by contradiction.
- Use of a counterexample to show that a statement is not always true.

- Topic : AHL 1.16
- Solutions of systems of linear equations (a maximum of three equations in three unknowns), including cases where there is a unique solution, an infinity of solutions or no solution.

### Topic 2: Functions**– **SL content

- Topic: SL 2.1
- Different forms of the equation of a straight line.
- Gradient; intercepts.
- Lines with gradients m
_{1}and m_{2} - Parallel lines m
_{1}= m_{2}. - Perpendicular lines m
_{1}Ã— m_{2}= âˆ’ 1.

- Topic: SL 2.2
- Concept of a function, domain, range and graph. Function notation, for example f(x), v(t), C(n). The concept of a function as a mathematical model.
- Informal concept that an inverse function reverses or undoes the effect of a function. Inverse function as a reflection in the line y = x, and the notation f
^{âˆ’1}(x).

- Topic: SL 2.3
- The graph of a function; its equation \(y = f\left( x \right)\) .
- Creating a sketch from information given or a context, including transferring a graph from screen to paper. Using technology to graph functions including their sums and differences.

- Topic: SL 2.4
- Determine key features of graphs.
- Finding the point of intersection of two curves or lines using technology

- Topic: SL 2.5
- Composite functions.
- (f âˆ˜ g)(x) = f(g(x))

- Identity function.
- Finding the inverse function f
^{âˆ’1}(x)- (f âˆ˜ f
^{âˆ’1})(x) = (f^{âˆ’1}âˆ˜ f)(x) = x

- (f âˆ˜ f

- Composite functions.
- Topic: SL 2.6
- The quadratic function f(x) = ax
^{2}+ bx + c: its graph, y -intercept (0, c). Axis of symmetry. - The form f(x) = a(x âˆ’ p)(x âˆ’ q), x intercepts (p, 0) and (q, 0).The form f(x) = a (x âˆ’ h) 2 + k, vertex (h,k).

- The quadratic function f(x) = ax
- Topic: SL 2.7
- Solution of quadratic equations and inequalities. The quadratic formula.
- The discriminant \(\Delta = {b^2} – 4ac\)Â and the nature of the roots, that is, two distinct real roots, two equal real roots, no real roots.

- Topic: SL 2.8
- The reciprocal function f(x) = 1 x , x â‰ 0: its graph and self-inverse nature.
- The rational function \(x \mapsto \frac{{ax + b}}{{cx + d}}\) and its graph. Equations of vertical and horizontal asymptotes.

- Topic: SL 2.9
- Exponential functions and their graphs
- The function \(x \mapsto {a^x}\) , \(a > 0\) , and its graph.

- Logarithmic functions and their graphs:
- The function \(x \mapsto {\log _a}x\) , \(x > 0\) , and its graph

- Exponential functions and their graphs
- Topic: SL 2.10
- Solving equations, both graphically and analytically.
- Use of technology to solve a variety of equations, including those where there is no appropriate analytic approach.
- Applications of graphing skills and solving equations that relate to real-life situations

- Topic SL 2.11
- Transformations of graphs.
- Translations: y = f(x) + b; y = f(x âˆ’ a).
- Reflections (in both axes): y = âˆ’ f(x); y = f( âˆ’ x).
- Vertical stretch with scale factor p: y= p f(x).
- Horizontal stretch with scale factor \(\frac{1}{q}\): y = f(qx).

- Composite transformations.

- Transformations of graphs.

### Topic 2: Functions**– **AHL content

- Topic: AHL 2.12
- Polynomial functions, their graphs and equations; zeros, roots and factors.
- The factor and remainder theorems.
- Sum and product of the roots of polynomial equations.
- The fundamental theorem of algebra.

- Topic: AHL 2.13
- Rational functions of the form
- \(f(x)=(\frac{ax + b}{cx^2 + dx + e}),and \; f(x)=\frac{ax^2 + bx + c}{dx + e}\)

- Rational functions of the form
- Topic: AHL 2.14
- Odd and even functions.
- Finding the inverse function,Â \({f^{ – 1}}\) f
^{âˆ’1}(x), including domain restriction. Self-inverse functions.

- Topic: AHL 2.15
- Solutions of \(g\left( x \right) \geqslant f\left( x \right)\) both graphically and analytically
- Graphical or algebraic methods, for simple polynomials up to degree 3.
- Use of technology for these and other functions.

- Topic: AHL 2.16
- The graphs of the functions, \(y = \left| {f\left( x \right)} \right|\) and \(y = f\left( {\left| x \right|} \right)\),
- \(\frac{1}{{f\left( x \right)}}\) , y = f(ax + b), y = [f(x)]
^{2}

### Topic 3: Geometry and trigonometry-SL content

- Topic : SL 3.1
- The distance between two points in three dimensional space, and their midpoint.
- Volume and surface area of three-dimensional solids including right-pyramid, right cone, sphere, hemisphere and combinations of these solids.
- The size of an angle between two intersecting lines or between a line and a plane.

- Topic SL 3.2Â
- Use of sine, cosine and tangent ratios to find the sides and angles of right-angled triangles.
- The sine rule including the ambiguous case.
- \(\frac{a}{sinA}=\frac{b}{sinB}=\frac{c}{sinC}\)

- The cosine rule.
- \(c^2 = a^2 +b^2-2abcosC;\)
- \(cosC =\frac{a^2+ b^2-c^2}{2ab}\)

- Area of a triangle as \(\frac{1}{2}ab\sin C\) .

- Topic SL 3.3
- Applications of right and non-right angled trigonometry, including Pythagorasâ€™s theorem.
- Angles of elevation and depression.
- Construction of labelled diagrams from written statements.

- Topic SL 3.4
- The circle: radian measure of angles;
- length of an arc; area of a sector.

- Topic SL 3.5
- Definition of \(\cos \theta \) , \(\sin \theta \) in terms of the unit circle and \(\tan \theta \)Â as \(\frac{sin\theta }{cos\theta }\).
- Exact values of \(\sin\), \(\cos\) and \(\tan\) of \(0\), \(\frac{\pi }{6}\), \(\frac{\pi }{4}\), \(\frac{\pi }{3}\), \(\frac{\pi }{2}\) and their multiples.
- Extension of the sine rule to the ambiguous case

- Topic SL 3.6
- Pythagorean identities: \({\cos ^2}\theta + {\sin ^2}\theta = 1\) ;
- Double angle identities for sine and cosine
- The relationship between trigonometric ratios.

- Topic : SL 3.7
- The circular functions sinx, cosx, and tanx; amplitude, their periodic nature, and their graphs
- Composite functions of the formÂ f(x) = asin(b(x + c)) + d.
- Transformations.
- Real-life contexts.
- height of tide, motion of a Ferris wheel.

- Topic : SL 3.8
- Solving trigonometric equations in a finite interval, both graphically and analytically.
- Equations leading to quadratic equations in sinx, cosx or tanx.

### Topic 3: Geometry and trigonometry-AHL content

- Topic : AHL 3.9
- Definition of the reciprocal trigonometric ratios secÎ¸, cosecÎ¸ and cotÎ¸.
- Pythagorean identities:
- 1 + tan
^{2}Î¸ = sec^{2}Î¸ - 1 + cot2Î¸ = cosec
^{2}Î¸

- 1 + tan
- The inverse functions f(x) = arcsinx, f(x) = arccosx, f(x) = arctanx; their domains and ranges; their graphs.

- Topic : AHL 3.10
- Compound angle identities. Double angle identity for tan.

- Topic : AHL 3.11
- Relationships between trigonometric functions and the symmetry properties of their graphs.

- Topic : AHL 3.12
- Concept of a vector; position vectors; displacement vectors.
- Representation of vectors using directed line segments.
- Base vectors i, j, k.
- Components of a vector: \(v = \left( {\begin{array}{*{20}{c}} {{v_1}} \\ {{v_2}} \\ {{v_3}} \end{array}} \right) = {v_1}i + {v_2}j + {v_3}k\) .
- Algebraic and geometric approaches to the following:
- sum and difference of two vectors.
- the zero vector \(0\), the vector \( – v\) .
- multiplication by a scalar, \(kv\) , parallel vectors
- magnitude of a vector, \(\left| v \right|\) .unit vectors=\(\frac{\vec{v}}{\left | \vec{v} \right |}\)
- position vectors \(\overrightarrow {OA} = a\) .
- displacement vector \(\overrightarrow {AB} = b – a\) .

- Proofs of geometrical properties using vectors.

- Topic : AHL 3.13
- The definition of the scalar product of two vectors.
- Properties of the scalar product: \({\boldsymbol{v}} \cdot {\boldsymbol{w}} = {\boldsymbol{w}} \cdot {\boldsymbol{v}}\) ; \({\boldsymbol{u}} \cdot \left( {{\mathbf{v}} + {\boldsymbol{w}}} \right) = {\boldsymbol{u}} \cdot {\boldsymbol{v}} + {\boldsymbol{u}} \cdot {\boldsymbol{w}}\) ; \(\left( {k{\boldsymbol{v}}} \right) \cdot {\boldsymbol{w}} = k\left( {{\boldsymbol{v}} \cdot {\boldsymbol{w}}} \right)\) ; \({\boldsymbol{v}} \cdot {\boldsymbol{v}} = {\left| {\boldsymbol{v}} \right|^2}\) .

- The angle between two vectors.
- Perpendicular vectors; parallel vectors.

- The definition of the scalar product of two vectors.
- Topic : AHL 3.14
- Vector equation of a line in two and three dimensions: \(r = a + \lambda b\) .
- The angle between two lines.
- Simple applications to kinematics.

- Topic : AHL 3.15
- Coincident, parallel, intersecting and skew lines; distinguishing between these cases.
- Points of intersection.

- Topic : AHL 3.16
- The definition of the vector product of two vectors.
- Properties of the vector product: \({\text{v}} \times {\text{w}} = – {\text{w}} \times {\text{v}}\) ; \({\text{u}} \times ({\text{v}} + {\text{w}}) = {\text{u}} \times {\text{v}} + {\text{u}} \times {\text{w}}\) ; \((k{\text{v}}) \times {\text{w}} = k({\text{v}} + {\text{w}})\) ; \({\text{v}} \times {\text{v}} = 0\) .
- Geometric interpretation of \({\text{v}} \times {\text{w}}\) .

- Topic : AHL 3.17
- Vector equation of a plane \(r = a + \lambda b + \mu c\) .
- Use of normal vector to obtain the form \(r \cdot n = a \cdot n\) .
- Cartesian equation of a plane \(ax + by + cz = d\) .

- Topic : AHL 3.18
- Intersections of: a line with a plane; two planes; three planes.
- Angle between: a line and a plane; two planes.

**Topic 4 : Statistics and probability-SL content**

- Topic: SLÂ 4.1
- Concepts of population, sample, random sample and frequency distribution of discrete and continuous data.
- Reliability of data sources and bias in sampling.
- Interpretation of outliers.
- Sampling techniques and their effectiveness

- Topic: SLÂ 4.2
- Presentation of data (discrete and continuous): frequency distributions (tables).
- Histograms. Cumulative frequency; cumulative frequency graphs; use to find median, quartiles, percentiles, range and interquartile range (IQR).
- Production and understanding of box and whisker diagrams.

- Topic: SLÂ 4.3
- Measures of central tendency (mean, median and mode).
- Estimation of mean from grouped data.
- Modal class.
- Measures of dispersion (interquartile range, standard deviation and variance).
- Effect of constant changes on the original data.
- Quartiles of discrete data.

- Topic: SLÂ 4.4
- Linear correlation of bivariate data. Pearsonâ€™s product-moment correlation coefficient, r.
- Scatter diagrams; lines of best fit, by eye, passing through the mean point.
- Equation of the regression line of y on x.
- Use of the equation of the regression line for prediction purposes.
- Interpret the meaning of the parameters, a and b, in a linear regression y = ax + b.

- Topic: SLÂ 4.5
- Concepts of trial, outcome, equally likely outcomes, sample space (U) and event.
- The probability of an event \(A\) is \(P\left( A \right) = \frac{{n\left( A \right)}}{{n\left( U \right)}}\)
- The complementary events \(A\) and \({A’}\) (not \(A\)).
- Expected number of occurrences.

- Topic: SLÂ 4.6
- Use of Venn diagrams, tree diagrams, sample space diagrams and tables of outcomes to calculate probabilities.
- Combined events: P(A âˆª B) = P(A) + P(B) âˆ’ P(A âˆ© B).
- Mutually exclusive events: P(A âˆ© B) = 0.
- Conditional probability; the definition \(P\left( {\left. A \right|P} \right) = \frac{{P\left( {A\mathop \cap \nolimits B} \right)}}{{P\left( B \right)}}\).
- Independent events; the definition \(P\left( {\left. A \right|B} \right) = P\left( A \right) = P\left( {\left. A \right|B’} \right)\) .

- Topic: SLÂ 4.7
- Concept of discrete random variables and their probability distributions.
- Expected value (mean), for discrete data. Applications.

- Topic: SLÂ 4.8
- Binomial distribution. Mean and variance of the binomial distribution.

- Topic: SLÂ 4.9
- The normal distribution and curve.
- Properties of the normal distribution.
- Diagrammatic representation.
- Normal probability calculations.
- Inverse normal calculations

- Topic: SLÂ 4.10
- Equation of the regression line of x on y.
- Use of the equation for prediction purposes.

- Topic: SLÂ 4.11
- Formal definition and use of the formulae:
- \(P\left( {\left. A \right|P} \right) = \frac{{P\left( {A\mathop \cap \nolimits B} \right)}}{{P\left( B \right)}}\).
- \(P\left( {\left. A \right|B} \right) = P\left( A \right) = P\left( {\left. A \right|B’} \right)\) .

- Formal definition and use of the formulae:
- Topic: SLÂ 4.12
- Standardization of normal variables (z- values).
- Inverse normal calculations where mean and standard deviation are unknown.

**Topic 4 : Statistics and probability-AHL content**

- Topic: AHLÂ 4.13
- Use of Bayesâ€™ theorem for a maximum of three events.

- Topic: AHLÂ 4.14
- Variance of a discrete random variable.
- Continuous random variables and their probability density functions.
- Mode and median of continuous random variables.
- Mean, variance and standard deviation of both discrete and continuous random variables.
- The effect of linear transformations of X.

### Topic 5: Calculus-SL content

- Topic SL 5.1
- Introduction to the concept of a limit.
- Derivative interpreted as gradient function and as rate of change.

- Topic SL 5.2
- Increasing and decreasing functions.
- Graphical interpretation of f â€²(x) > 0, f â€²(x) = 0, f â€²(x) < 0.

- Topic SL 5.3
- Derivative of f(x) = ax
^{n}is f â€²(x) = anx^{nâˆ’1}, n âˆˆ â„¤ - The derivative of functions of the form f(x) = ax
^{n}+ bx^{nâˆ’1}. . . . where all exponents are integers.

- Derivative of f(x) = ax
- Topic SL 5.4
- Tangents and normals at a given point, and their equations.

- Topic: SL 5.5
- Introduction to integration as anti-differentiation of functions of the form f(x) = ax
^{n}+ bx^{nâˆ’1}+ …., where n âˆˆ â„¤, n â‰ âˆ’ 1. - Anti-differentiation with a boundary condition to determine the constant term.
- Definite integrals using technology.
- Area of a region enclosed by a curve y = f(x) and the x -axis, where f(x) > 0.

- Introduction to integration as anti-differentiation of functions of the form f(x) = ax
- Topic: SL 5.6
- Derivatives of \({x^n}\) , \(\sin x\) , \(\cos x\) , \(\tan x\) , \({{\text{e}}^x}\) and \(\ln x\) .
- Differentiation of a sum and a multiple of these functions.
- The chain rule for composite functions
- The product and quotient rules

- Topic: SL 5.7
- The second derivative.
- Graphical behaviour of functions, including the relationship between the graphs of \(f\) , \({f’}\) and \({f”}\) .

- Topic: SL 5.8
- Local maximum and minimum points. Testing for maximum and minimum.
- Optimization.
- Points of inflexion with zero and non-zero gradients.

- Topic SL 5.9
- Kinematic problems involving displacement \(s\), velocity \(v\) and acceleration \(a\) andÂ Total distance travelled.

- Topic SL 5.10
- Indefinite integral of x
^{n}(n âˆˆ â„š), sinx, cosx, \(\frac{1}{x}\)Â and e^{x}. - The composites of any of these with the linear function ax + b.
- Integration by inspection (reverse chain rule) or by substitution for expressions of the form:
- âˆ« kgâ€²(x)f(g(x))dx.

- Indefinite integral of x
- Topic SL 5.11
- Definite integrals, including analytical approach.
- 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.

### Topic 5: Calculus-AHL content

- Topic: AHL 5.12
- Informal understanding of continuity and differentiability of a function at a point.
- Understanding of limits (convergence and divergence).
- Definition of derivative from first principles as \(f’\left( x \right) = \mathop {\lim }\limits_{h \to 0} {\frac{{f\left( {x + h} \right) – f\left( x \right)}}{h}} \).

- Higher derivatives.

- Topic: AHL 5.13
- The evaluation of limits of the form \(\mathop {\lim }\limits_{x \to a} \frac{{f\left( x \right)}}{{g\left( x \right)}}\) and \(\mathop {\lim }\limits_{x \to \infty } \frac{{f\left( x \right)}}{{g\left( x \right)}}\) .using lâ€™HÃ´pitalâ€™s rule or the Maclaurin series.
- Repeated use of lâ€™HÃ´pitalâ€™s rule

- Topic: AHL 5.14
- Implicit differentiation.
- Related rates of change. Optimisation problems.

- Topic: AHL 5.15
- Derivatives of \(\tan x\), \(\sec x\) , cosec x , \(\cot x\) , \({a^x}\) , \({\log _a}x\) , \(\arcsin x\) , \(\arccos x\) and \(\arctan x\) .
- Indefinite integrals of the derivatives of any of the above functions. The composites of any of these with a linear function.Â
- Use of partial fractions to rearrange the integrand.

- Topic: AHL 5.16
- Integration by substitution.
- Integration by parts.
- Repeated integration by parts.

- Topic: AHL 5.17
- Area of the region enclosed by a curve and the y-axis in a given interval.
- Volumes of revolution about the \(x\)-axis or \(y\)-axis.

- Topic: AHL 5.18
- First order differential equations. Numerical solution of \(\frac{dy}{dx}\)Â = f(x, y) using Eulerâ€™s method.
- Variables separable.
- Homogeneous differential equation \(\frac{dy}{dx}\) = f(\(\frac{y}{x}\))using the substitution y = vx.
- Solution of yâ€² + P(x)y = Q(x), using the integrating factor.

- Topic: AHL 5.19
- Maclaurin series for \({{\text{e}}^x}\) , \(\\sin x\) , \(\cos x\) , \(\ln (1 + x)\) , \({(1 + x)^p}\) , \(P \in \mathbb{Q}\) .
- Use of simple substitution, products, integration and differentiation to obtain other series.
- Maclaurin series developed from differential equations.

### Â New DP mathematics courses- Syllabus

Two new courses will become part of the Diploma Programme (DP) in 2019, both taught at the Higher level (HL) and Standard level (SL). The first isÂ **Mathematics: analysis and approaches**Â and the second isÂ **Mathematics: applications and interpretation**.

From August 2019 the following courses, with first assessment in May 2021, are available:

- Mathematics: analysis and approaches SL
- Mathematics: analysis and approaches HL
- Mathematics: applications and interpretation SL
- Mathematics: applications and interpretation HL

**Students can only study one course in mathematics as part of their diploma.**

Each course approaches topics at varying levels of teaching hours. This guide will provide some insights into which course will be the best fit for your school and students.

The courses are separated by how they approach mathematics, described generally by the table below:

#### Mathematics: analysis and approaches

- Emphasis on algebraic methods
- Develop strong skills in mathematical thinking
- Real and abstract mathematical problem solving
- For students interested in mathematics, engineering physical sciences, and some economics

#### Mathematics: applications and interpretation

- Emphasis on modelling and statistics
- Develops strong skills in applying mathematics to the real-world
- Real mathematical problem solving using technology
- For students interested in social sciences, natural sciences, medicine, statistics, business, engineering, some economics, psychology and design

#### Subject breakdown

All of these courses (SL and HL in each) cover the same 5 topics within mathematics but with varying emphasis in each area: number and algebra, functions, geometry and trigonometry, statics and probability, and calculus. The chart below may help you select the right course based on the amount of time dedicated to a given topic.

## New IB Math coursesÂ for the IB Class of 2021 Onward

Â

Please see below the program documentation for a discussion of the math curriculum changes effective September 2019 for the IB Class of 2021.

The following chart summarizes the new courses and provides guidance in course selection:

Â

New math course started in September 2019 for IB Class of 2021 | Course description from IB | Approximate current equivalent | Recommended prior math background |

Mathematics: Applications and interpretation | This course is designed for students who enjoy describing the real world and solving practical problems using mathematics, those who are interested in harnessing the power of technology alongside exploring mathematical models and enjoy the more practical side of mathematics. | STANDARD LEVEL (SL): Â This class is most similar to the current Mathematical Studies SL course. Â HIGHER LEVEL (HL): Â This course will include new content, including statistics. It is intended to meet the needs of students whose interest in mathematics is more practical than theoretical but seek more challenging content. | STANDARD LEVEL (SL): Â Strong Algebra 1 skills Â HIGHER LEVEL (HL): Â Strong Algebra 2 skills |

Mathematics: Analysis and approaches | This course is intended for students who wish to pursue studies in mathematics at university or subjects that have a large mathematical content; it is for students who enjoy developing mathematical arguments, problem solving and exploring real and abstract applications, with and without technology. | STANDARD LEVEL (SL): Â This class is most similar to the current Mathematics SL course. Â HIGHER LEVEL (HL): Â This class is most similar to the current Mathematics HL course. | STANDARD LEVEL (SL): Â Strong Algebra 2H skills Â HIGHER LEVEL (HL): Â Very strong Algebra 2H skills |

Â

The following pages summarize the projected content of the new courses.

# The Content

The contentÂ is stillÂ underÂ development andÂ itemsÂ below may beÂ subject to changeÂ whenÂ the guides areÂ published:

Â

Mathematics:Â Analysis and approaches

TheÂ number and algebra SLÂ looks at:Â scientificÂ notation,Â arithmetic and geometric sequences and series and theirÂ applicationsÂ including financialÂ applications,Â lawsÂ ofÂ logarithmsÂ and exponentials,Â solving exponentialÂ equations, simpleÂ proof,Â approximations and errors, andÂ theÂ binomialÂ theorem.Â TheÂ number and algebra HLÂ looks at:Â permutations and combinations,Â partialÂ fractions,Â complexÂ numbers,Â proofÂ byÂ induction,Â contradictionÂ andÂ counter–example,Â andÂ solution ofÂ systems ofÂ linear equations.

Â

TheÂ functions SLÂ looks at:Â equations of straightÂ lines,Â concepts andÂ properties of functions andÂ theirÂ graphs, including composite,Â inverse,Â theÂ identity, rational,Â exponential,Â logarithmic and quadraticÂ functions.Â SoÂ lviÂ nÂ g equations both analyticallyÂ andÂ graphically,Â andÂ transformation ofÂ graphs.Â TheÂ functions HLÂ looks at:Â theÂ factorÂ andÂ remainder theorems, sums andÂ products ofÂ rootsÂ of polynomials,Â rationalÂ functions,Â oddÂ andÂ evenÂ functions,Â self–inverseÂ functions, solvingÂ functionÂ inequalities and the modulusÂ function.

Â

TheÂ geometry and trigonometry SLÂ looks at:Â volumeÂ andÂ surface area of 3d solids,Â rightÂÂ angledÂ andÂ nonÂ –rightÂ –angledÂ trigonometryÂ includingÂ bearings andÂ angles oÂ fÂ elevation and depression, radianÂ measure,Â theÂ unit circleÂ andÂ PythagoreanÂ identity,Â double angleÂ identities for sineÂ andÂ cosine,Â compositeÂ trigonometric functions,Â solvingÂ trigonometric equations. TheÂ geometry and trigonometry HLÂ looks at:Â reciprocalÂ trigonometricÂ ratios,Â inverseÂ trigonometricÂ functionÂ s, compound angleÂ identities ,doubleÂ angleÂ identityÂ forÂ tangent, symmetryÂ properties ofÂ trigonometric graphs,Â vectorÂ theory,Â applicationsÂ withÂ lines andÂ planes, and vectorÂ algebra.

Â

TheÂ statistics and probability SLÂ looks at:Â collectingÂ data andÂ using samplingÂ techniques,Â presenting dataÂ inÂ graphicalÂ form,Â measures ofÂ centralÂ tendency andÂ spread, correlation,Â regression,Â calculatingÂ probabilities,Â probabilityÂ diagrams,Â the normalÂ distributionÂ with standardizationÂ ofÂ variables, andÂ theÂ binomialÂ distribution.Â TheÂ statistics and probability HLÂ looks at:Â BayesÂ theorem,Â probabilityÂ distributions,Â probabilityÂ densityÂ functions, expectationÂ algebra.

TheÂ calculus SLÂ looks at:Â informalÂ ideas ofÂ limits and convergence,Â differentiationÂ including analysing graphicalÂ behaviourÂ ofÂ functions,Â findingÂ equations ofÂ normals andÂ tangents,Â optimization,Â kinematicsÂ involvingÂ displacement,Â velocity,Â accelerationÂ andÂ totalÂ distanceÂ travelled,Â the chain,Â productÂ and quotientÂ rules,Â definite andÂ indefiniteÂ integration.Â TheÂ calculus HLÂ looks at:Â introductionÂ toÂ continuityÂ and differentiability,Â convergence andÂ divergence,Â differentiationÂ fromÂ firstÂ principles, limits and L‘Hopital’sÂ rule,Â implicitÂ differentiation,Â derivativesÂ ofÂ inverse andÂ reciprocalÂ trigonometric functions,Â integrationÂ byÂ substitutionÂ andÂ parts, volumes oÂ fÂ revolution,Â solutionÂ ofÂ firstÂ orderÂ differentialÂ equationsÂ using Euler‘s method,Â byÂ separatingÂ variables andÂ usingÂ theÂ integrating factor,Â MaclaurinÂ series.

Â

Mathematics:Â Applications andÂ interpretation

TheÂ number and algebra SLÂ looks at:Â scientificÂ notation,Â arithmetic and geometric sequences and series and theirÂ applicationsÂ inÂ financeÂ includingÂ loanÂ repayments,Â simpleÂ treatmentÂ ofÂ logarithms and exponentials,Â simpleÂ proof,Â approximations andÂ errors.Â TheÂ number and algebra HLÂ looks at:Â lawsÂ ofÂ logarithms,Â complexÂ numbers andÂ theirÂ practicalÂ applications,Â matrices andÂ theirÂ applicationsÂ forÂ solving systemsÂ of equations,Â for geometric transformations,Â andÂ theirÂ applicationsÂ toÂ probability.

Â

TheÂ functions SLÂ looks at: creating,Â fitting andÂ using modelsÂ withÂ linear,Â exponential,Â naturalÂ logarithm,Â cubic and simpleÂ trigonometric functions.Â TheÂ functions HLÂ looks at:Â useÂ ofÂ log–log graphs,Â graphÂ transformations,Â creating, fitting andÂ using modelsÂ withÂ furtherÂ trigonometric,Â logarithmic,Â rational, logistic andÂ piecewise functions.

Â

TheÂ geometry and trigonometry SLÂ looks at:Â volumeÂ andÂ surface area of 3d solids,Â rightÂÂ angledÂ andÂ nonÂ –right–angledÂ trigonometryÂ includingÂ bearings,Â surface area andÂ volumeÂ of composite 3d solids,Â establishingÂ optimumÂ positions and pathsÂ using VoronoiÂ diagrams.

TheÂ geometry and trigonometry HLÂ looks at: vectorÂ concepts andÂ theirÂ applicationsÂ inÂ kinematics,Â applications oÂ fÂ adjacencyÂ matrices,Â andÂ tree andÂ cycle algorithms.

Â

TheÂ statistics and probability SLÂ looks at:Â collectingÂ data andÂ using samplingÂ techniques,Â presenting dataÂ inÂ graphicalÂ form,Â measuresÂ of centralÂ tendencyÂ andÂ spread,Â correlationÂ usingÂ Pearson‘sÂ proÂ duct–momentÂ andÂ Spearman’sÂ rankÂ correlationÂ coefficients, regression,Â calculatingÂ probabilities,Â probabilityÂ diagrams,Â theÂ normalÂ distribution,Â Chi–squaredÂ testÂ forÂ independence and goodness ofÂ fit.Â TheÂ statistics and probability HLÂ looks at: theÂ binomialÂ andÂ Poisson distributions,Â designingÂ dataÂ collectionÂ methods,Â testsÂ forÂ reliability andÂ validity,Â hypothesisÂ testingÂ and confidenceÂ intervals.

Â

TheÂ calculus SLÂ looksÂ at:Â differentiationÂ includingÂ analysingÂ graphicalÂ behaviorÂ ofÂ functions and optimisationÂ ,Â usingÂ simpleÂ integrationÂ andÂ theÂ trapezium/ t rapezoidalÂ ruleÂ to calculateÂ areasÂ ofÂ irregular shapes.Â TheÂ calculus HLÂ looks at:Â kinematicsÂ andÂ practicalÂ problemsÂ involvingÂ rates ofÂ change,Â volumes ofÂ revolution,Â settingÂ upÂ andÂ solving modelsÂ involvingÂ differentialÂ equationsÂ usingÂ numericalÂ andÂ analyticÂ methods,Â slopeÂ fields, coupledÂ andÂ second–orderÂ differentialÂ equations inÂ context.

### Â Old DP mathematics courses-Syllabus

### Topic 1â€”Number and algebra

- Topic 1.1 :
- Operations with numbers in the form a Ã— 10
^{k}where 1 â‰¤ a < 10 and k is an integer. - Arithmetic sequences and series; sum of finite arithmetic series; geometric sequences and series; sum of finite and infinite geometric series,
- Sigma notation,
- Applications.Â

- Operations with numbers in the form a Ã— 10
- Topic 1.2 :
- Arithmetic sequences and series.
- Use of the formulae for the n
^{th}term and the sum of the first n terms of the sequence. - Use of sigma notation for sums of arithmetic sequences.
- Applications. Example : simple interest over a number of years.
- Analysis, interpretation and prediction where a model is not perfectly arithmetic in real life. approximate common differences
- Exponents and logarithms,
- Laws of exponents; laws of logarithms,
- Change of base SL Paper 1

- Topic 1.3 :
- Geometric sequences and series. Use of the formulae for the n
^{th}term and the sum of the first n terms of the sequence. - Use of sigma notation for the sums of geometric sequences.
- Applications -Examples include the spread of disease, salary increase and decrease and population growth.
- Geometric sequences and series.
- Use of the formulae for the n
^{th}term and the sum of the first n terms of the sequence. - Counting principles, including permutations and combinations
- The binomial theorem: expansion of \({\left( {a + b} \right)^n}\), \(n \in N\)Â

- Geometric sequences and series. Use of the formulae for the n
- Topic 1.4 :
- Financial applications of geometric sequences and series:
- compound interest
- annual depreciation.

- Proof by mathematical induction.Â

- Financial applications of geometric sequences and series:
- Topic 1.5 :
- Laws of exponents with integer exponents.Â
- Introduction to logarithms with base 10 and e. Numerical evaluation of logarithms using technology. a
^{x}= b is equivalent to log_{a}b = x, that b > 0, and log_{e}x = lnx - Complex numbers: the number \({\text{i}} = \sqrt { – 1} \) ; the terms real part, imaginary part, conjugate, modulus and argument.
- Cartesian form \(z = a + {\text{i}}b\) .
- Sums, products and quotients of complex numbers.

- Topic 1.6 :
- Simple deductive proof, numerical and algebraic; how to lay out a left-hand side to right-hand side (LHS to RHS) proof.
- The symbols and notation for equality and identity. Example: Show that (x âˆ’ 3)
^{2}+ 5 â‰¡ x^{2}âˆ’ 6x + 14. - Modulusâ€“argument (polar) form \(z = r\left( {\cos \theta + {\text{i}}\sin \theta } \right) = r{\text{cis}}\theta = r{e^{{\text{i}}\theta }}\). The complex plane.
- Sums, products and quotients of complex numbers.

- Topic 1.7 :
- Laws of exponents with rational exponents.
- , if m is even this refers to the positive root.
- Laws of logarithms.
- log
_{a}xy = log_{a}x + log_{a}y - log
_{a}(x/y) = log_{a}x – log_{a}yÂ

- log
- Powers of complex numbers: de Moivreâ€™s theorem.
- Â \(n\)th roots of a complex number.

- Topic 1.8 :
- Conjugate roots of polynomial equations with real coefficients.

- Topic 1.9 :
- The binomial theorem: expansion of (a + b)
^{n}, n âˆˆ â„•. - Use of Pascalâ€™s triangle and
^{n}C_{r}

- The binomial theorem: expansion of (a + b)

**Topic 2â€”Functions**

- Topic 2.1
- Concept of function \(f:x \mapsto f\left( x \right)\) : domain, range; image (value)
- Odd and even functions.
- Composite functions \(f \circ g\)
- Identity function.
- One-to-one and many-to-one functions.
- Inverse function \({f^{ – 1}}\), including domain restriction. Self-inverse functions.

- Topic 2.2
- The graph of a function; its equation \(y = f\left( x \right)\) .
- Investigation of key features of graphs, such as maximum and minimum values, intercepts, horizontal and vertical asymptotes and symmetry, and consideration of domain and range.
- The graphs of the functions \(y = \left| {f\left( x \right)} \right|\) and \(y = f\left( {\left| x \right|} \right)\)
- The graph of \(\frac{1}{{f\left( x \right)}}\) given the graph of \(y = f(x)\) .

- Topic 2.3
- Transformations of graphs: translations; stretches; reflections in the axes.
- The graph of the inverse function as a reflection in \(y = x\).

- Topic 2.4
- The rational function \(x \mapsto \frac{{ax + b}}{{cx + d}}\) and its graph.
- The function \(x \mapsto {a^x}\) , \(a > 0\) , and its graph.
- The function \(x \mapsto {\log _a}x\) , \(x > 0\) , and its graph

- Topic 2.5
- Polynomial functions and their graphs.
- The factor and remainder theorems.
- The fundamental theorem of algebra.

- Topic 2.6
- Solving quadratic equations using the quadratic formula.
- Use of the discriminant \(\Delta = {b^2} – 4ac\) to determine the nature of the roots.
- Solving polynomial equations both graphically and algebraically.
- Sum and product of the roots of polynomial equations.
- Solution of \({a^x} = b\) using logarithms.
- Use of technology to solve a variety of equations, including those where there is no appropriate analytic approach.

- Topic 2.7
- Solutions of \(g\left( x \right) \geqslant f\left( x \right)\) .
- Graphical or algebraic methods, for simple polynomials up to degree 3.
- Use of technology for these and other functions.

**Topic 3â€” Geometry and trigonometry**

- Topic 3.1 :
- The circle: radian measure of angles.
- Length of an arc; area of a sector.Â

- Topic 3.2 :
- Definition of \(\cos \theta \) , \(\sin \theta \) and \(\tan \theta \) in terms of the unit circle.
- Exact values of \(\sin\), \(\cos\) and \(\tan\) of \(0\), \(\frac{\pi }{6}\), \(\frac{\pi }{4}\), \(\frac{\pi }{3}\), \(\frac{\pi }{2}\) and their multiples.
- Definition of the reciprocal trigonometric ratios \(\sec \theta \) , \(\csc \theta \) and \(\cot \theta \) .
- Pythagorean identities: \({\cos ^2}\theta + {\sin ^2}\theta = 1\) ; \(1 + {\tan ^2}\theta = {\sec ^2}\theta \) ; \(1 + {\cot ^2}\theta = {\csc ^2}\theta \) .

- Topic 3.3 :
- Compound angle identities.
- Double angle identities

- Topic 3.4 :
- Composite functions of the form \(f(x) = a\sin (b(x + c)) + d\) .
- Applications.

- Topic 3.5 :
- The inverse functions \(x \mapsto \arcsin x\) , \(x \mapsto \arccos x\) , \(x \mapsto \arctan x\) ; their domains and ranges; their graphs.

- Topic 3.6 :
- Algebraic and graphical methods of solving trigonometric equations in a finite interval, including the use of trigonometric identities and factorization.

- Topic 3.7 :
- The cosine rule.
- The sine rule including the ambiguous case.
- Area of a triangle as \(\frac{1}{2}ab\sin C\) .
- Applications.

- Topic 3.8
- Solving trigonometric equations in a finite interval, both graphically and analytically.
- Examples:
- 2sinx = 1, 0 â‰¤ x â‰¤ 2Ï€
- 2sin2x = 3cosx, 0Â° â‰¤ x â‰¤ 180Â°
- 2tan(3(x âˆ’ 4)) = 1, âˆ’ Ï€ â‰¤ x â‰¤ 3Ï€

- Equations leading to quadratic equations in sinx, cosx or tanx.
- Examples: 2sin
^{2}x + 5cosx + 1 = 0 for 0 â‰¤ x â‰¤ 4Ï€,

2sinx = cos2x, âˆ’ Ï€ â‰¤ x â‰¤ Ï€

- Examples: 2sin

- Solving trigonometric equations in a finite interval, both graphically and analytically.

**Topic 4â€”Statistics and probability**

- Topic 4.1
- Concept of a vector.
- Representation of vectors using directed line segments.
- Unit vectors; base vectors \(i\), \(j\), \(k\).
- Components of a vector: \(v = \left( {\begin{array}{*{20}{c}} {{v_1}} \\ {{v_2}} \\ {{v_3}} \end{array}} \right) = {v_1}i + {v_2}j + {v_3}k\) .
- Algebraic and geometric approaches to the sum and difference of two vectors.
- Algebraic and geometric approaches to the zero vector \(0\), the vector \( – v\) .
- Algebraic and geometric approaches to multiplication by a scalar, \(kv\) .
- Algebraic and geometric approaches to magnitude of a vector, \(\left| v \right|\) .
- Algebraic and geometric approaches to position vectors \(\overrightarrow {OA} = a\) .
- \(\overrightarrow {AB} = b – a\) .

- Topic 4.2
- The definition of the scalar product of two vectors.
- Properties of the scalar product: \({\boldsymbol{v}} \cdot {\boldsymbol{w}} = {\boldsymbol{w}} \cdot {\boldsymbol{v}}\) ; \({\boldsymbol{u}} \cdot \left( {{\mathbf{v}} + {\boldsymbol{w}}} \right) = {\boldsymbol{u}} \cdot {\boldsymbol{v}} + {\boldsymbol{u}} \cdot {\boldsymbol{w}}\) ; \(\left( {k{\boldsymbol{v}}} \right) \cdot {\boldsymbol{w}} = k\left( {{\boldsymbol{v}} \cdot {\boldsymbol{w}}} \right)\) ; \({\boldsymbol{v}} \cdot {\boldsymbol{v}} = {\left| {\boldsymbol{v}} \right|^2}\) .
- The angle between two vectors.
- Perpendicular vectors; parallel vectors.

- Topic 4.3
- Vector equation of a line in two and three dimensions: \(r = a + \lambda b\) .
- Simple applications to kinematics.
- The angle between two lines.

- Topic 4.4
- Coincident, parallel, intersecting and skew lines; distinguishing between these cases.
- Points of intersection.

- Topic 4.5
- The definition of the vector product of two vectors.
- Properties of the vector product: \({\text{v}} \times {\text{w}} = – {\text{w}} \times {\text{v}}\) ; \({\text{u}} \times ({\text{v}} + {\text{w}}) = {\text{u}} \times {\text{v}} + {\text{u}} \times {\text{w}}\) ; \((k{\text{v}}) \times {\text{w}} = k({\text{v}} + {\text{w}})\) ; \({\text{v}} \times {\text{v}} = 0\) .
- Geometric interpretation of \({\text{v}} \times {\text{w}}\) .

- Topic 4.6
- Vector equation of a plane \(r = a + \lambda b + \mu c\) .
- Use of normal vector to obtain the form \(r \cdot n = a \cdot n\) .
- Cartesian equation of a plane \(ax + by + cz = d\) .

- Topic 4.7
- Intersections of: a line with a plane; two planes; three planes.
- Angle between: a line and a plane; two planes.

**Topic 5 â€”Calculus**

- Topic 5.1 :
- Concepts of population, sample, random sample and frequency distribution of discrete and continuous data.
- Grouped data: mid-interval values, interval width, upper and lower interval boundaries.
- Mean, variance, standard deviation.

- Topic 5.2 :
- Concepts of trial, outcome, equally likely outcomes, sample space (U) and event.
- The probability of an event \(A\) is \(P\left( A \right) = \frac{{n\left( A \right)}}{{n\left( U \right)}}\)
- The complementary events \(A\) and \({A’}\) (not \(A\)).
- Use of Venn diagrams, tree diagrams, counting principles and tables of outcomes to solve problems.

- Topic 5.3 :
- Combined events; the formula for \(P\left( {A \cup B} \right)\) .
- Mutually exclusive events.

- Topic 5.4 :
- Conditional probability; the definition \(P\left( {\left. A \right|P} \right) = \frac{{P\left( {A\mathop \cap \nolimits B} \right)}}{{P\left( B \right)}}\) .
- Independent events; the definition \(P\left( {\left. A \right|B} \right) = P\left( A \right) = P\left( {\left. A \right|B’} \right)\) .
- Use of Bayesâ€™ theorem for a maximum of three events.

- Topic 5.5 :
- Concept of discrete and continuous random variables and their probability distributions.
- Definition and use of probability density functions.
- Expected value (mean), mode, median, variance and standard deviation.
- Applications.

- Topic 5.6 :
- Binomial distribution, its mean and variance.
- Poisson distribution, its mean and variance.

- Topic 5.7 :
- Normal distribution.
- Properties of the normal distribution.
- Standardization of normal variables.

**Topic 6 – Core: Calculus**

- Topic 6.1
- Informal ideas of limit, continuity and convergence.
- Definition of derivative from first principles as \(f’\left( x \right) = \mathop {\lim }\limits_{h \to 0} {\frac{{f\left( {x + h} \right) – f\left( x \right)}}{h}} \).
- The derivative interpreted as a gradient function and as a rate of change.
- Finding equations of tangents and normals.
- Identifying increasing and decreasing functions.
- The second derivative.
- Higher derivatives.

- Topic 6.2
- Derivatives of \({x^n}\) , \(\sin x\) , \(\cos x\) , \(\tan x\) , \({{\text{e}}^x}\) and \\(\ln x\) .
- Differentiation of sums and multiples of functions.
- The product and quotient rules.
- The chain rule for composite functions.
- Related rates of change.
- Implicit differentiation.
- Derivatives of \(\sec x\) , \(\csc x\) , \(\cot x\) , \({a^x}\) , \({\log _a}x\) , \(\arcsin x\) , \(\arccos x\) and \(\arctan x\) .

- Topic 6.3
- Local maximum and minimum values.
- Optimization problems.
- Points of inflexion with zero and non-zero gradients.
- Graphical behaviour of functions, including the relationship between the graphs of \(f\) , \({f’}\) and \({f”}\) .

- Topic 6.4
- Indefinite integration as anti-differentiation.
- Indefinite integral of \({x^n}\) , \(\sin x\) , \(\cos x\) and \({{\text{e}}^x}\) .
- Other indefinite integrals using the results from 6.2.
- The composites of any of these with a linear function.

- Topic 6.5
- Anti-differentiation with a boundary condition to determine the constant of integration.
- Definite integrals.
- Area of the region enclosed by a curve and the \(x\)-axis or \(y\)-axis in a given interval; areas of regions enclosed by curves.
- Volumes of revolution about the \(x\)-axis or \(y\)-axis.

- Topic 6.6
- Kinematic problems involving displacement \(s\), velocity \(v\) and acceleration \(a\).
- Total distance travelled.

- Topic 6.7
- Integration by substitution.
- Integration by parts.

### Optional

**Topic 7 – Option: Statistics and probability**

- Topic 7.1
- Cumulative distribution functions for both discrete and continuous distributions.
- Geometric distribution.
- Negative binomial distribution.
- Probability generating functions for discrete random variables.
- Using probability generating functions to find mean, variance and the distribution of the sum of \(n\) independent random variables.

- Topic 7.2
- Linear transformation of a single random variable.
- Mean of linear combinations of \(n\) random variables.
- Variance of linear combinations of \(n\) independent random variables.
- Expectation of the product of independent random variables.

- Topic 7.3
- Unbiased estimators and estimates.
- Comparison of unbiased estimators based on variances.
- \({\bar X}\) as an unbiased estimator for \(\mu \) .
- \({S^2}\) as an unbiased estimator for \({\sigma ^2}\) .

- Topic 7.4
- A linear combination of independent normal random variables is normally distributed. In particular, \(X{\text{ ~ }}N\left( {\mu ,{\sigma ^2}} \right) \Rightarrow \bar X{\text{ ~ }}N\left( {\mu ,\frac{{{\sigma ^2}}}{n}} \right)\) .
- The central limit theorem.

- Topic 7.5
- Confidence intervals for the mean of a normal population.

- Topic 7.6
- Null and alternative hypotheses, \({H_0}\) and \({H_1}\) .
- Significance level.
- Critical regions, critical values, \(p\)-values, one-tailed and two-tailed tests.
- Type I and II errors, including calculations of their probabilities.
- Testing hypotheses for the mean of a normal population.

- Topic 7.7
- Introduction to bivariate distributions.
- Covariance and (population) product moment correlation coefficient \(\rho \).
- Proof that \(\rho = 0\) in the case of independence and \( \pm 1\) in the case of a linear relationship between \(X\) and \(Y\).
- Definition of the (sample) product moment correlation coefficient \(R\) in terms of n paired observations on \(X\) and \(Y\).
- Its application to the estimation of \(\rho \).Informal interpretation of \(r\), the observed value of \(R\). Scatter diagrams.
- Topics based on the assumption of bivariate normality: use of the \(t\)-statistic to test the null hypothesis \(\rho = 0\) .
- Topics based on the assumption of bivariate normality: knowledge of the facts that the regression of \(X\) on \(Y\) (\({E\left. {\left( X \right)} \right|Y = y}\)) and \(Y\) on \(X\) (\({E\left. {\left( Y \right)} \right|X = x}\)) are linear.
- Topics based on the assumption of bivariate normality: least-squares estimates of these regression lines (proof not required).
- Topics based on the assumption of bivariate normality: the use of these regression lines to predict the value of one of the variables given the value of the other.

**Topic 8 – Option: Sets, relations and groups**

- Topic 8.1
- Finite and infinite sets.
- Subsets.
- Operations on sets: union; intersection; complement; set difference; symmetric difference.
- De Morganâ€™s laws: distributive, associative and commutative laws (for union and intersection).

- Topic 8.2
- Ordered pairs: the Cartesian product of two sets.
- Relations: equivalence relations; equivalence classes.

- Topic 8.3
- Functions: injections; surjections; bijections.
- Composition of functions and inverse functions.

- Topic 8.4
- Binary operations.
- Operation tables (Cayley tables).

- Topic 8.5
- Binary operations: associative, distributive and commutative properties.

- Topic 8.6
- The identity element \(e\).
- The inverse \({a^{ – 1}}\) of an element \(a\).Proof that left-cancellation and right-cancellation by an element a hold, provided that a has an inverse.
- Proofs of the uniqueness of the identity and inverse elements.

- Topic 8.7
- The definition of a group \(\left\{ {G, * } \right\}\) .
- The operation table of a group is a Latin square, but the converse is false.
- Abelian groups.

- Topic 8.8
- Example of groups: \(\mathbb{R}\), \(\mathbb{Q}\), \(\mathbb{Z}\) and \(\mathbb{C}\) under addition.
- Example of groups: integers under addition modulo \(n\).
- Example of groups: non-zero integers under multiplication, modulo \(p\), where \(p\) is prime.
- Symmetries of plane figures, including equilateral triangles and rectangles.
- Invertible functions under composition of functions.

- Topic 8.9
- The order of a group.
- The order of a group element.
- Cyclic groups.
- Generators.
- Proof that all cyclic groups are Abelian.

- Topic 8.10
- Permutations under composition of permutations.
- Cycle notation for permutations.
- Result that every permutation can be written as a composition of disjoint cycles.
- The order of a combination of cycles.

- Topic 8.11
- Subgroups, proper subgroups.
- Use and proof of subgroup tests.
- Definition and examples of left and right cosets of a subgroup of a group.
- Lagrangeâ€™s theorem.
- Use and proof of the result that the order of a finite group is divisible by the order of any element. (Corollary to Lagrangeâ€™s theorem.)

- Topic 8.12
- Definition of a group homomorphism.
- Definition of the kernel of a homomorphism.
- Proof that the kernel and range of a homomorphism are subgroups.
- Proof of homomorphism properties for identities and inverses.
- Isomorphism of groups.
- The order of an element is unchanged by an isomorphism.

**Topic 9 – Option: Calculus**

- Topic 9.1
- Infinite sequences of real numbers and their convergence or divergence.

- Topic 9.2
- Convergence of infinite series.
- Tests for convergence: comparison test; limit comparison test; ratio test; integral test.
- The \(p\)-series, \(\mathop \sum \nolimits \frac{1}{{{n^p}}}\) .Series that converge absolutely.
- Series that converge conditionally.
- Alternating series.
- Power series: radius of convergence and interval of convergence. Determination of the radius of convergence by the ratio test.

- Topic 9.3
- Continuity and differentiability of a function at a point.
- Continuous functions and differentiable functions.

- Topic 9.4
- The integral as a limit of a sum; lower and upper Riemann sums.
- Fundamental theorem of calculus.
- Improper integrals of the type \(\int\limits_a^\infty {f\left( x \right){\text{d}}} x\) .

- Topic 9.5
- First-order differential equations.
- Geometric interpretation using slope fields, including identification of isoclines.
- Numerical solution of \(\frac{{{\text{d}}y}}{{{\text{d}}x}} = f\left( {x,y} \right)\) using Eulerâ€™s method.
- Variables separable.
- Homogeneous differential equation \(\frac{{{\text{d}}y}}{{{\text{d}}x}} = f\left( {\frac{y}{x}} \right)\) using the substitution \(y = vx\) .Solution of \(y’ + P\left( x \right)y = Q\left( x \right)\), using the integrating factor.

- Topic 9.6
- Rolleâ€™s theorem.
- Mean value theorem.
- Taylor polynomials; the Lagrange form of the error term.
- Maclaurin series for \({{\text{e}}^x}\) , \(\\sin x\) , \(\cos x\) , \(\ln (1 + x)\) , \({(1 + x)^p}\) , \(P \in \mathbb{Q}\) .
- Use of substitution, products, integration and differentiation to obtain other series.
- Taylor series developed from differential equations.

- Topic 9.7
- The evaluation of limits of the form \(\mathop {\lim }\limits_{x \to a} \frac{{f\left( x \right)}}{{g\left( x \right)}}\) and \(\mathop {\lim }\limits_{x \to \infty } \frac{{f\left( x \right)}}{{g\left( x \right)}}\) .
- Using lâ€™HÃ´pitalâ€™s rule or the Taylor series.

**Topic 10 – Option: Discrete mathematics**

- Topic 10.1
- Strong induction.
- Pigeon-hole principle.

- Topic 10.2
- \(\left. a \right|b \Rightarrow b = na\) for some \(n \in \mathbb{Z}\) .
- The theorem \(\left. a \right|b\) and \(a\left| {c \Rightarrow a} \right|\left( {bx \pm cy} \right)\) where \(x,y \in \mathbb{Z}\) .
- Division and Euclidean algorithms.
- The greatest common divisor, gcd(\(a\),\(b\)), and the least common multiple, lcm(\(a\),\(b\)), of integers \(a\) and \(b\).
- Prime numbers; relatively prime numbers and the fundamental theorem of arithmetic.

- Topic 10.3
- Linear Diophantine equations \(ax + by = c\) .

- Topic 10.4
- Modular arithmetic.
- The solution of linear congruences.
- Solution of simultaneous linear congruences (Chinese remainder theorem).

- Topic 10.5
- Representation of integers in different bases.

- Topic 10.6
- Fermatâ€™s little theorem.

- Topic 10.7
- Graphs, vertices, edges, faces.
- Adjacent vertices, adjacent edges.
- Degree of a vertex, degree sequence.
- Handshaking lemma.
- Simple graphs; connected graphs; complete graphs; bipartite graphs; planar graphs; trees; weighted graphs, including tabular representation.
- Subgraphs; complements of graphs
- .Eulerâ€™s relation: \(v – e + f = 2\) ; theorems for planar graphs including \(e \leqslant 3v – 6\) , \(e \leqslant 2v – 4\) , leading to the results that \({\kappa _5}\) and \({\kappa _{3,3}}\) are not planar.

- Topic 10.8
- Walks, trails, paths, circuits, cycles.
- Eulerian trails and circuits.
- Hamiltonian paths and cycles.

- Topic 10.9
- Graph algorithms: Kruskalâ€™s; Dijkstraâ€™s.

- Topic 10.10
- Chinese postman problem.
- Travelling salesman problem.
- Nearest-neighbour algorithm for determining an upper bound.
- Deleted vertex algorithm for determining a lower bound.

- Topic 10.11
- Recurrence relations.
- Initial conditions, recursive definition of a sequence.
- Solution of first- and second-degree linear homogeneous recurrence relations with constant coefficients.
- The first-degree linear recurrence relation \({u_n} = a{u_{n – 1}} + b\) .
- Modelling with recurrence relations.