Prepare for college-level mathematics with a rigorous, application-driven curriculum. Explore advanced calculus techniques, foundational linear algebra, modern probability and statistics, advanced functions and equations, discrete mathematics, and hands-on mathematical modeling.
Parametric/implicit differentiation and definite/indefinite integrals
Matrices, inverses, Gaussian elimination, and vector spaces
Bayesian reasoning, hypothesis testing, normal and sampling distributions
Inverse trigonometric and hyperbolic functions with ODEs
Sets, logic, graph theory, and advanced counting principles
Multivariable optimization and dynamic systems
Master parametric and implicit differentiation, integration techniques, and applications
Understand matrix operations, vector spaces, and linear transformations
Apply Bayesian inference, hypothesis testing, and distribution analysis
Create and analyze mathematical models for real-world applications
Parametric and implicit differentiation, integration techniques, and applications in physics and economics.
Matrix operations, inverses, Gaussian elimination, vector spaces, and linear transformations.
Bayes' theorem, experimental design, hypothesis testing, normal and sampling distributions.
Inverse trigonometric and hyperbolic functions, ODE fundamentals, parametric and polar representations.
Sets and logic, graph theory, advanced counting with inclusion–exclusion and generating functions.
Multivariable optimization, dynamic systems (ODE/difference), and interdisciplinary case studies.
Rigorous curriculum that bridges high school and college-level mathematics
Connect advanced mathematics to physics, economics, computer science, and engineering
Complex mathematical problems with step-by-step solutions and multiple approaches