Prepare for college-level mathematics with a rigorous, application-driven curriculum. Master advanced calculus, linear algebra, probability & statistics, and mathematical modeling.
Master advanced derivative techniques for parametric curves and implicit relations with real-world applications.
Learn indefinite and definite integrals, substitution, integration by parts, and applications in physics and economics.
Master matrix arithmetic, determinants, matrix inverses, and solving systems using matrix methods.
Solve systems using Gaussian elimination, understand rank, linear combinations, and solution classification.
Explore vector spaces, bases, dimension, and understand matrices as linear transformations.
Learn Bayes' theorem, conditional probability, and apply Bayesian reasoning to real-world problems.
Master hypothesis testing, p-values, confidence intervals, and statistical significance testing.
Understand normal distributions, z-scores, sampling distributions, and the central limit theorem.
Explore inverse trig functions, hyperbolic functions, their derivatives, and applications.
Learn first-order ODEs, separation of variables, and applications in modeling dynamic systems.
Master parametric equations, polar coordinates, curve sketching, and area calculations.
Explore sets, logic, graph theory, counting principles, and applications in computer science.
Start with Parametric & Implicit Differentiation and build a strong foundation!