Pearson Edexcel · International A-Level · Further Mathematics

1 Complex arithmetic and quadratic roots 2 Parabolas and rectangular hyperbolas 3 Matrix operations, inverses and plane transformations 4 Bisection and Newton root finding · ⁨Biseksi dan pencarian akar Newton⁩ 5 Finite sums and induction 6 Deduction, contradiction and induction · ⁨Deduksi, kontradiksi, dan induksi⁩

1 Quadratics and inequalities · ⁨Kuadrat dan ketaksamaan⁩ 2 Series, finite differences and Taylor expansions · ⁨Deret, beda hingga, dan ekspansi Taylor⁩ 3 Complex numbers and roots 4 Differential equations and numerical solutions · ⁨Persamaan diferensial dan solusi numerik⁩ 5 Second-order linear differential equations · ⁨Persamaan diferensial linear orde dua⁩ 6 Polar curves and area · ⁨Kurva polar dan luas⁩

1 Hyperbolic functions and inverse relations · ⁨Fungsi hiperbolik dan hubungan invers⁩ 2 Conics, parametric curves and tangent reasoning 3 Chain, product, quotient and implicit differentiation · ⁨Rantai, perkalian, pembagian, dan diferensiasi implisit⁩ 4 Substitution, parts and partial fractions · ⁨Substitusi, pecahan parsial⁩ 5 Spatial vectors, lines and angles · ⁨Vektor spasial, garis, dan sudut⁩ 6 Matrix transformations, inverses and eigenvalues

1 Kinematics and Newton's laws · ⁨Kinematik dan hukum Newton⁩ 2 Vectors and transformation geometry · ⁨Vektor dan geometri transformasi⁩ 3 Moments, equilibrium and centres of mass · ⁨Momen, kesetimbangan, dan pusat massa⁩ 4 Inclined planes, friction and connected particles

1 Kinematics and Newton's laws · ⁨Kinematik dan hukum Newton⁩ 2 Moments, equilibrium and centres of mass · ⁨Momen, kesetimbangan, dan pusat massa⁩ 3 Work, energy, power and collisions 4 Projectile motion and variable acceleration

1 Elasticity, circular motion and variable dynamics 2 Differential equations and numerical solutions · ⁨Persamaan diferensial dan solusi numerik⁩ 3 Moments, equilibrium and centres of mass · ⁨Momen, kesetimbangan, dan pusat massa⁩

1 Data summaries, histograms and interpretation · ⁨Ringkasan data, histogram, dan interpretasi⁩ 2 Probability, trees and conditional reasoning · ⁨Probabilitas, pohon keputusan, dan penalaran bersyarat⁩ 3 Regression, financial models and residuals · ⁨Regresi, model keuangan dan residual⁩ 4 Binomial, normal and Poisson models · ⁨Model binomial, normal, dan Poisson⁩

1 Binomial, normal and Poisson models · ⁨Model binomial, normal, dan Poisson⁩ 2 Sampling and a large data set 3 Hypothesis testing and contextual conclusions · ⁨Uji hipotesis dan kesimpulan kontekstual⁩ 4 Continuous distributions and density functions

1 Confidence intervals, chi-square and regression 2 Sampling and a large data set 3 Regression, financial models and residuals · ⁨Regresi, model keuangan dan residual⁩

1 Algorithms, networks and linear programming · ⁨Algoritma, jaringan, dan pemrograman linear⁩ 2 Critical paths and scheduling 3 Sorting, packing and network algorithms