Mathematics
The de-streamed Grade 9 course — number sense, algebraic thinking, and a first taste of data and coding.
- linear relations
- solving equations
- geometry
- data & coding
Ontario curriculum from Grade 9 through Grade 12, plus first- and second-year undergraduate math. Click a subject to jump to it.
The de-streamed Grade 9 course — number sense, algebraic thinking, and a first taste of data and coding.
Academic Grade 10 — quadratic relations, analytic geometry, and the trigonometry of triangles.
Applied Grade 10 — measurement, proportional reasoning, and linear & quadratic relations through real models.
The gateway to MHF4U / MCV4U — function notation, transformations, rationals, exponentials, and trigonometry.
Mixed-track Grade 11 — quadratic, exponential, and trig functions through real-world models, plus financial math.
College-track Grade 11 — trigonometry, quadratics, exponentials, and personal finance for applied programs.
Polynomial, rational, logarithmic and trigonometric functions, plus average and instantaneous rates of change.
Limits, derivatives and curve sketching alongside vectors, lines and planes in 3-D.
Counting, probability, distributions and statistics — capped by the culminating data-management project.
College-track Grade 12 — trigonometry, statistics, and the financial mathematics applied programs expect.
The de-streamed Grade 9 course spanning biology, chemistry, physics, and earth & space science.
Academic Grade 10 — cells & systems, chemical reactions, optics, and climate change.
Applied Grade 10 — the same four strands (biology, chemistry, physics, earth science) through hands-on contexts.
Diversity of living things, evolution, genetic processes, and the anatomy of plants and animals.
Matter and bonding, the mole and quantities, chemical reactions, solutions, and gases.
Kinematics, forces, energy and work, waves and sound, and electricity & magnetism.
Ecosystems, human impact, sustainability, and managing natural resources.
Biochemistry, metabolism, molecular genetics, homeostasis, and population dynamics.
Structure & properties, energetics, kinetics, chemical equilibrium, and electrochemistry.
Dynamics, energy & momentum, gravitational/electric/magnetic fields, waves & light, and modern physics.
Astronomy, planetary geology, the atmosphere, and the recorded history of the Earth.
Limits done rigorously, continuity, derivatives and their applications, the mean-value theorem, and a careful treatment of the definite integral via Riemann sums.
Integration techniques, applications, improper integrals, sequences and series (including convergence tests and Taylor series), and an introduction to differential equations.
Functions of several variables, partial derivatives, multiple integrals, vector fields, and the three big theorems: Green, Stokes, and the divergence theorem.
First-order ODEs, second-order linear ODEs with constant coefficients, Laplace transforms, systems of ODEs, and an honest pass at modelling problems from physics and biology.
Systems of equations, matrices, determinants, vector spaces, linear maps, eigenvalues and eigenvectors. The first course where math starts to feel more like a language than a set of tricks.
If you’re working on something adjacent — IB HL math, AP Calculus BC, a competition prep, or a first-year course not listed above — get in touch. The roster is small but the syllabus is flexible.
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