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Mathematics

The optimization, calculus, and linear algebra that make every other course possible — the prerequisite most economics programs assume you already have.

Syllabus

What the four units cover

Curated from MIT OpenCourseWare's 18.01SC Single Variable Calculus, 18.02SC Multivariable Calculus, and 18.06 Linear Algebra — filtered to the topics economics actually uses.

01

Differentiation & Optimization

Definitions and basic rules of differentiation; optimization and related rates; the mean value theorem and antiderivatives.

02

Multivariable Calculus & Constrained Optimization

Functions of two variables, tangent approximation, and optimization; the chain rule, gradient, and directional derivatives; Lagrange multipliers and constrained differentials — the machinery behind every utility- and cost-minimization problem.

03

Linear Algebra I: Systems & Structure

The geometry of linear equations and elimination with matrices; matrix operations and inverses; vector spaces and solving Ax = b; least squares approximations — the algebra underneath every regression model.

04

Linear Algebra II: Dynamics & Applications

Eigenvalues and eigenvectors; Markov matrices; linear programming.

Course Facts

At a glance

4 weeks, 2 sessions/week
All levels — no prior knowledge required
Hybrid: in-person or remote
Recommended before Econometrics

Who this is for

Everyone — from complete beginners to those looking to deepen existing knowledge. The only prerequisite is an interest in economics.