Courses
41 courses
Kindergarten to grade 2
Kindergarten math
- Counting and number names
- Comparing numbers
- Putting together and taking apart
- Numbers 11 to 19
- Measuring and sorting
- Shapes
Grade 1 math
- Adding and subtracting within 20
- The equal sign and missing numbers
- Counting to 120
- Tens and ones
- Measuring length
- Time and data
- Shapes and equal parts
Grade 2 math
- Adding, subtracting and word problems
- Equal groups
- Place value to 1,000
- Adding and subtracting big numbers
- Measuring length
- Time, money and data
- Shapes and equal parts
Grades 3 to 5
Grade 3 math
- Multiplication and division
- Problem solving and patterns
- Place value and adding big numbers
- Fractions as numbers
- Time, measurement and data
- Area and perimeter
- Shapes
Grade 4 math
- Multiply, divide and solve problems
- Place value and multi-digit math
- Equivalent fractions and comparing
- Adding and multiplying fractions
- Decimal fractions
- Measurement, data and angles
- Lines, angles and shapes
Grade 5 math
- Expressions and patterns
- Place value and decimals
- Adding and subtracting fractions
- Multiplying and dividing fractions
- Measurement, data and volume
- The coordinate plane
- Classifying shapes
Grades 6 to 8
Grade 6 math
- Ratios and rates
- Dividing fractions
- Multi-digit numbers and decimals
- Negative numbers and the coordinate plane
- Expressions
- Equations and inequalities
- Two quantities that change together
- Area, surface area and volume
- Statistics
Grade 7 math
- Proportional relationships
- Operations with negative numbers
- Expressions
- Equations and inequalities
- Geometry
- Statistics and probability
Grade 8 math
- Rational and irrational numbers
- Exponents and roots
- Transformations, congruence and similarity
- Proportional relationships and slope
- Linear equations and systems
- Functions
- Linear functions and models
- The Pythagorean theorem
- Volume
- Patterns in data
High school
Algebra I
- Relationships between quantities
- Linear equations and inequalities
- Systems of equations
- Graphs of equations and inequalities
- Functions
- Linear and exponential models
- Quadratic expressions and equations
- Describing data
Geometry
- Congruence and proof
- Similarity and right triangles
- Circles
- Geometry with coordinates
- Area and volume
- Modeling with geometry
- Probability
Algebra II
- Polynomials
- Rational and radical equations
- Complex numbers
- Systems of equations
- Matrices
- Inequalities
- Exponential and logarithmic functions
- Trigonometric functions
- Building and modeling functions
- Variation
- Conic sections
- Modeling with data
- Statistics and inference
Integrated Math I
- Relationships between quantities
- Linear equations and inequalities
- Linear and exponential relationships
- Systems of equations
- Functions and their graphs
- Describing data
- Congruence and constructions
- Connecting algebra and geometry
Integrated Math II
- Extending the number system
- Quadratic functions
- Quadratic expressions and equations
- Similarity and right triangles
- Circles
- Volume and cross-sections
- Probability
Integrated Math III
- Inferences and conclusions from data
- Polynomial, rational and radical relationships
- Exponential and logarithmic functions
- Trigonometry of general triangles
- Trigonometric functions
- Mathematical modeling
Precalculus
- Functions: transformations, composition and inverses
- Polynomial and rational functions
- Exponential and logarithmic functions
- Trigonometric functions and the unit circle
- Inverse trigonometric functions and equations
- Trigonometric identities
- Laws of sines and cosines
- Vectors
- Polar coordinates and complex numbers
- Matrices and systems of equations
- Conic sections
- Parametric equations
- Sequences and series
- Introduction to limits
AP courses
AP Precalculus
- Polynomial and rational functions
- Exponential and logarithmic functions
- Trigonometric and polar functions
- Functions involving parameters, vectors and matrices
AP Calculus AB
- Limits and continuity
- Differentiation: definition and basic rules
- Differentiation: composite, implicit and inverse functions
- Contextual applications of differentiation
- Analytical applications of differentiation
- Integration and accumulation of change
- Differential equations
- Applications of integration
AP Calculus BC
- Limits and continuity
- Differentiation: definition and basic rules
- Differentiation: composite, implicit and inverse functions
- Contextual applications of differentiation
- Analytical applications of differentiation
- Integration and accumulation of change
- Differential equations
- Applications of integration
- Parametric equations, polar coordinates and vector-valued functions
- Infinite sequences and series
AP Statistics
- Exploring One-Variable Data and Collecting Data
- Probability, Random Variables, and Probability Distributions
- Inference for Categorical Data: Proportions
- Inference for Quantitative Data: Means
- Regression Analysis
- Beyond the AP exam (optional) (Optional)
College
College Algebra
- Algebraic expressions
- Equations and inequalities
- Functions and graphs
- Polynomial and rational functions
- Exponential and logarithmic functions
- Systems of equations
- Sequences and series
College Precalculus
- Functions
- Polynomial and rational functions
- Exponential and logarithmic functions
- Trigonometric functions
- Inverse functions, identities and equations
- Laws of sines and cosines
- Polar coordinates and complex numbers
- Vectors
- Matrices and systems
- Conic sections
- Parametric equations
- Sequences and series
- Introduction to limits
Calculus I
- Limits and continuity
- The derivative and its rules
- The chain rule and implicit differentiation
- Rates of change and linear approximation
- Maximum and minimum values, and curve sketching
- Integrals and the Fundamental Theorem of Calculus
- The substitution rule
- Net change and average value
Calculus II
- Areas and volumes
- Techniques of integration
- Further applications of integration
- Differential equations
- Parametric equations and polar coordinates
- Hyperbolic functions and complex exponentials
- Sequences and series
Introductory Statistics
- Collecting data
- Describing data
- Probability
- Random variables and distributions
- Sampling distributions
- Inference for proportions
- Inference for means
- Chi-square tests
- Correlation and regression
Calculus III (Multivariable)
- Vectors and the geometry of space
- Vector functions
- Partial derivatives
- Multiple integrals
- Vector calculus
Probability
- Sample spaces and the axioms
- Counting methods
- Conditional probability and Bayes' rule
- Independence
- Discrete random variables
- Expectation and variance
- Continuous random variables
- Joint distributions
- Covariance and correlation
- Limit theorems
- Moment generating functions
- Random vectors and the multivariate normal
- Random walks, Poisson processes and Markov chains
Statistical Inference
- Statistics and sampling distributions
- Point estimation
- Method of moments
- Maximum likelihood
- Confidence intervals
- Hypothesis testing
- Power and optimal tests
- Likelihood ratio tests
- t, chi-square and F tests
- Nonparametric methods and the bootstrap
- Bayesian inference
Regression Analysis
- Simple linear regression
- Inference in simple regression
- Residual diagnostics
- Multiple regression in matrix form
- Interpreting multiple regression
- Categorical predictors and interactions
- Model selection
- Multicollinearity
- Transformations and nonlinearity
- Logistic regression
- Regularization
Introduction to Data Science
- Data tables and tidy data
- Exploratory analysis and visualization
- Summary statistics
- Data cleaning
- Sampling and bias
- Simulation and the bootstrap
- Hypothesis testing by permutation
- Correlation and prediction
- Linear regression
- Classification
- Train/test split and overfitting
- Ethics and privacy
Linear Algebra for Data Science
- Vectors, dot products and norms
- Matrices as transformations
- Matrix multiplication
- Linear systems and elimination
- Rank and inverses
- Vector spaces and subspaces
- Bases and dimension
- Orthogonality and projections
- Least squares
- Eigenvalues and diagonalization
- Singular value decomposition
- Principal component analysis
Linear Algebra
- Linear systems and row reduction
- Span and solution sets
- Independence and linear transformations
- Matrix algebra
- Determinants
- Subspaces, bases and dimension
- Eigenvalues and eigenvectors
- Complex eigenvalues and dynamics
- Orthogonality and least squares
- Symmetric matrices
- Orthogonal matrices and quadratic forms
Vector Calculus
- Derivatives as matrices
- Extrema and Lagrange multipliers
- Coordinates and change of variables
- Vector fields and line integrals
- Green's theorem, curl and divergence
- Surfaces and surface integrals
- The theorems of Stokes and Gauss
- Vector calculus at work
Differential Equations
- First-order equations
- Exact equations and qualitative theory
- Hyperbolic functions and complex exponentials
- Second-order linear equations
- Forced equations
- Linear systems and phase portraits
- Series solutions
- Laplace transforms
Discrete Mathematics
- Logic
- Methods of proof
- Induction and recursion
- Sets, functions and relations
- Counting
- Number theory
- Recurrence relations
- Graphs and trees
Introduction to Proofs
- Logic and quantifiers
- Writing proofs
- Proof by contradiction
- Induction
- Sets
- Functions
- Equivalence relations
- Cardinality
- Limits with epsilon and delta
Real Analysis
- The real numbers
- Sequences
- Series
- Topology of the real line
- Limits and continuity
- Differentiation
- The Riemann integral
- Sequences and series of functions
Abstract Algebra
- Groups
- Subgroups and cyclic groups
- Permutation groups
- Cosets and Lagrange's theorem
- Homomorphisms and quotient groups
- Direct products and group actions
- Rings
- Polynomial rings and factorization
- Fields
Numerical Analysis
- Floating point and error
- Solving nonlinear equations
- Interpolation
- Numerical differentiation and integration
- Solving linear systems
- Least squares computation
- Computing eigenvalues
- Solving differential equations numerically
Mathematical Statistics
- Sampling distributions
- Point estimation
- Sufficiency and efficiency
- Confidence intervals
- Hypothesis testing
- Linear models
- Analysis of variance
- Goodness of fit and contingency tables
- Nonparametric methods and the bootstrap
Applied Statistics
- Describing data
- Probability models for data
- Sampling distributions
- Confidence intervals
- Hypothesis tests
- Categorical data
- Comparing several groups
- Regression and curve fitting
- Resampling methods
How Helio teaches it
Each step checked
A checker tests every step, Helio's and your child's.
Graphs drawn live
Lines, curves and shapes appear as Helio explains them.
Hints, not answers
Your child does the work, with help only as needed.