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피어슨 에덱셀 · International A-Level · Further Mathematics

Choose a lesson to begin. · ⁨시작할 수업을 선택하십시오.⁩

Course units and learning goals · ⁨과정 단위 및 학습 목표⁩ →These lessons teach selected course objectives. Check the remaining coverage gaps; the material is not a complete preparation programme. · ⁨이 수업은 선택된 과정 목표를 다룹니다. 나머지 미달성 항목을 확인하십시오. 이 자료는 완전한 준비 프로그램이 아닙니다.⁩

1 FP1 · Further Pure Mathematics 1 0 / 6

1 Complex arithmetic and quadratic roots 2 Parabolas and rectangular hyperbolas 3 Matrix operations, inverses and plane transformations 4 Bisection and Newton root finding · ⁨이분법(bisection)과 뉴턴의 근 구하기⁩ 5 Finite sums and induction 6 Deduction, contradiction and induction

2 FP2 · Further Pure Mathematics 2 0 / 6

1 Quadratics and inequalities 2 Series, finite differences and Taylor expansions 3 Complex numbers and roots 4 Differential equations and numerical solutions · ⁨미분방정식과 수치해⁩ 5 Second-order linear differential equations 6 Polar curves and area

3 FP3 · Further Pure Mathematics 3 0 / 6

1 Hyperbolic functions and inverse relations · ⁨쌍곡선 함수와 역관계⁩ 2 Conics, parametric curves and tangent reasoning 3 Chain, product, quotient and implicit differentiation 4 Substitution, parts and partial fractions 5 Spatial vectors, lines and angles 6 Matrix transformations, inverses and eigenvalues

4 M1 · Mechanics 1 0 / 4

1 Kinematics and Newton's laws 2 Vectors and transformation geometry · ⁨벡터와 변환 기하학⁩ 3 Moments, equilibrium and centres of mass 4 Inclined planes, friction and connected particles · ⁨기울어진 평면, 마찰력 및 연결된 입자⁩

5 M2 · Mechanics 2 0 / 4

1 Kinematics and Newton's laws 2 Moments, equilibrium and centres of mass 3 Work, energy, power and collisions · ⁨일, 에너지,aces 및 충돌⁩ 4 Projectile motion and variable acceleration

6 M3 · Mechanics 3 0 / 3

1 Elasticity, circular motion and variable dynamics · ⁨탄성, 원주 운동 및 가변 동역학⁩ 2 Differential equations and numerical solutions · ⁨미분방정식과 수치해⁩ 3 Moments, equilibrium and centres of mass

7 S1 · Statistics 1 0 / 4

1 Data summaries, histograms and interpretation · ⁨데이터 요약, 히스토그램 및 해석⁩ 2 Probability, trees and conditional reasoning 3 Regression, financial models and residuals · ⁨회귀, 금융 모델 및 잔차⁩ 4 Binomial, normal and Poisson models

8 S2 · Statistics 2 0 / 4

1 Binomial, normal and Poisson models · ⁨이항 분포, 정규 분포 및 포아송 모델⁩ 2 Sampling and a large data set 3 Hypothesis testing and contextual conclusions 4 Continuous distributions and density functions · ⁨연속 분포 및 밀도 함수⁩

9 S3 · Statistics 3 0 / 3

1 Confidence intervals, chi-square and regression 2 Sampling and a large data set 3 Regression, financial models and residuals · ⁨회귀, 금융 모델 및 잔차⁩

10 D1 · Decision Mathematics 1 0 / 3

1 Algorithms, networks and linear programming 2 Critical paths and scheduling · ⁨임계 경로와 일정 계획⁩ 3 Sorting, packing and network algorithms