MathematicsLower Saxony curriculum · Gymnasium

Mathematics – grade 12/13

Qualification phase (G9: grades 12 and 13). The core curriculum has separate learning areas for the basic (gA) and the higher requirement level (eA) and does not distribute them over the years, so they are the same for the double grade 12 and 13. The codes are our own.

Unit gA-1Curve fitting with polynomial functions (basic level)

Turning properties into conditions on the function term, solving linear systems algorithmically and adjusting a parameter to a given property.

Unit gA-2From change to total – integral calculus (basic level)

Reconstructing totals from rates of change, the integral as a limit of Riemann sums, the fundamental theorem, areas bounded by graphs and antiderivatives.

gA-2.1Definite integral

Reconstructed totals, Riemann sums, the fundamental theorem and areas.

gA-2.2Antiderivative

Stating, developing and checking antiderivatives with the rules of differentiation.

Unit gA-3The exponential function e^x (basic level)

The base e via (eˣ)′ = eˣ, combining and composing with other functions, product and chain rules, exponential equations and limited growth.

Unit gA-4Spatial visualisation and coordinates (basic level)

Points and vectors in space, vector operations, lines and planes in parametric form, distances between points, the dot product, angles and relative positions of lines.

gA-4.1Spatial visualisation and coordinates

Points and vectors as tuples, addition and scalar multiplication, collinearity, lines and planes in parametric form.

gA-4.2Measures and positions

Distances between points, dot product and orthogonality, angles, relative positions and intersections of lines.

gA-4.3Optional extensions

Lines and planes, normal form, equations of circles and spheres.

Unit gA-5Data and chance (basic level)

Conditional probability and independence, expected value and standard deviation, the binomial distribution with prediction intervals and simulations.

gA-5.1Conditional probability and stochastic independence

Developing it with tree diagrams and two-way tables, checking stages for independence.

gA-5.2Expected value and standard deviation of discrete random variables

Calculating and interpreting measures, fair games.

gA-5.3Binomial distribution

Judging the model, calculating probabilities and measures, interpreting histograms, prediction intervals and whether a sample is compatible.

Unit eA-1From change to total – integral calculus (higher level)

As at basic level, plus the integral function, ln as an antiderivative of 1/x, solids of revolution and improper integrals.

eA-1.1Definite integral

Reconstructed totals, Riemann sums, the fundamental theorem and areas.

eA-1.2Integral function and antiderivative

The integral function as accumulation or area function, antiderivatives including ln.

eA-1.3Further topics

Volumes of solids of revolution about the x-axis, improper integrals.

Unit eA-2Growth models – exponential function (higher level)

Comparing limited and logistic growth, differential equations as models, the exponential function with its derivative, combinations and compositions, and exponential equations.

eA-2.1Investigating growth processes

Limited and logistic growth, asymptotic behaviour, differential equations.

eA-2.2Exponential function e^x

The base e, derivatives, product and chain rules, exponential equations and family parameters.

Unit eA-3Spatial visualisation and coordinates (higher level)

As at basic level, plus projection onto the plane with matrices, planes in normal and coordinate form, distances between points, lines and planes, and Gaussian elimination.

eA-3.1Spatial visualisation and coordinates

Points and vectors, vector operations, collinearity and oblique drawings with projection matrices.

eA-3.2Forms of representation

Lines and planes in parametric, normal and coordinate form.

eA-3.3Measures and positions

Distances, dot product, angles, relative positions of lines and planes, and Gaussian elimination.

eA-3.4Optional extensions

Vectors in other contexts, further transformation matrices, equations of circles and spheres.

Unit eA-4Curve fitting and families of functions (higher level)

Classifying functions by global properties and fitting them to data, piecewise functions, and families of polynomial and exponential functions.

eA-4.1Curve fitting

Using symmetry, behaviour for large |x|, asymptotes and periodicity, setting up conditions, continuity and differentiability.

eA-4.2Families of functions

The effect of the family parameter and fitting to properties.

Unit eA-5Data and chance (higher level)

As at basic level, plus causal and stochastic independence, the normal distribution, approximating the binomial distribution and confidence intervals.

eA-5.1Conditional probability and stochastic independence

Tree diagrams and two-way tables, causal and stochastic independence.

eA-5.2Expected value and standard deviation of discrete random variables

Calculating and interpreting measures, fair games.

eA-5.3Binomial distribution

The model, probabilities, measures, histograms, prediction intervals and simulations.

eA-5.4Normal distribution

Discrete and continuous random variables, parameters of the normal distribution.

eA-5.5Binomial and normal distribution

Approximating the binomial distribution, sigma intervals and confidence intervals.

The summaries describe the curriculum in our own words. The original text is authoritative. Original text (German): Kerncurriculum, Gymnasium, Mathematics, grade 12/13