Curriculum

커리큘럼

Lecture # AP Calculus AB / BC AP Statistics AP Precalculus
#01 Limits / Limit Definition / Continuity / Average vs Instantaneous Rate of Change One-Variable Data / Categorical Variables / Distribution / Summary Statistics Rates of Change
#02 Power / Product / Quotient / Chain / Trigonometric / Implicit / Inverse Differentiation Normal Distribution Polynomial and Rational Functions
#03 Applications of Differentiation I: Optimization Related Rates Two-Variable Data / Least Squares Regression / Residuals / Outliers Arithmetic and Geometric Sequences
#04 Applications of Differentiation II: MVT / EVT / IVT Relative and Absolute Extrema / Concavity Collecting Data / Bias / Sampling Methods / Experiments vs Observational Studies Inverse Functions / Composition of Functions / Logarithmic Functions / Exponential Functions
#05 Integrals: Power, Exponential, Trigonometric Riemann Sums / Summation Notation / U-Substitution Integration by Parts / Partial Fractions (BC) Probability / Binomial Distribution Trigonometry I
#06 Fundamental Theorem of Calculus / Average Value / Areas / Volumes Arc Length (BC) Probability / Geometric Distribution Trigonometry II
#07 Differential Equations: Slope Fields / Particular Solutions / Exponential Models / Euler’s Method (BC) / Logistic Models (BC) Sampling Distributions / Central Limit Theorem / Simulations Polar Coordinates
#08 Parametric Equations and Derivatives (BC) / Polar Coordinates and Areas (BC) Proportions / Confidence Interval Parametric Functions / Conic Sections
#09 Series and Tests for Convergence / Divergence / Improper Integrals (BC) / Absolute vs Conditional Convergence t-Distribution / Significance Test for a Mean / Paired Data / Type I & II Errors / Chi-Square Test Vectors
#10 Taylor Polynomials / Series Interval and Radius of Convergence / Error Bounds Confidence Interval and Hypothesis Test for Slope Matrices
Lecture # AP Calculus AB / BC AP Statistics AP Precalculus
#01 Limits / Limit Defini6on / Continuity Average vs Instantaneous Rate of Change One-Variable Data / Categorical Variables Rates of Change
#02 Power/Product/Quo6ent/Chain Rule Distribution Polynomial and Rational Functions I
#03 Trigonometric / Exponential Derivatives Implicit / Inverse Differentiation Summary Statistics Polynomial and Rational Functions II
#04 Applications of Differentiation I: Optimization Normal Distribution Modelling
#05 Applications of Differentiation II: Related Rates Two-Variable Data Arithmetic Sequences
#06 Applications of Differentiation III: MVT / EVT / IVT Relative and Absolute Extrema Concavity Least Squares Regression Geometric Sequences
#07 Integrals: Power, Exponential, Trigonometric U-Substitution Residuals / Outliers Inverse Functions / Composition of Functions
#08 Integration by Parts / Partial Frac6ons (BC) Collecting Data / Bias / Sampling Methods Logarithmic Expressions
#09 Riemann Sums / Summation Notation / Fundamental Theorem of Calculus / Average Value Experiments vs Observational Studies Exponential and Logarithmic Functions
#10 Areas / Volumes Arc Length (BC) Binomial Distribution Exponential and Logarithmic Functions Modelling
#11 Differential Equations: Slope Fields / Particular Solutions / Exponential Models Geometric Distribution Sine / Cosine / Tangent
#12 Euler’s Method (BC) / Logistic Models (BC) Sampling Distributions / Central Limit Theorem Trigonometric Equations and Inequalities
#13 Parametric Equations and Deriva6ves (BC) Simulations Secant / Cosecant / Cotangent
#14 Polar Coordinates / Areas (BC) Proportions & Confidence Interval I Polar Coordinates
#15 Series and Tests for Convergence / Divergence I / Improper Integrals (BC) Proportions & Confidence Interval II Parametric Functions I
#16 Tests for Convergence / Divergence II / Absolute vs Conditional Convergence t-Distribution / Significance Test for a Mean Parametric Functions II / Conic Sections
#17 Taylor Polynomials / Series Paired Data / Type I & II Errors Vectors
#18 Interval and Radius of Convergence / Error Bounds Chi-Square Test Matrices
#19 Series FRQ Confidence Interval and Hypothesis Test for Slope Inverse Matrix / Matrix Transformations
#20 Full Mock Review Full Mock Review Matrices as Functions / Modelling

aaaa

aaaa

aaaa

**특강 등록 안내


매주 월요일 새롭게 개강합니다.

정원은 15명 입니다.

환불은 서울시 교육청 학원환불규정을 따릅니다.