Mathematics

Mathematics for Computer Science

Principles of Discrete Applied Mathematics

Topics in Mathematics with Applications in Finance

Projection Theory

Real Analysis

Graph Theory and Additive Combinatorics

Introduction to Probability and Statistics

Differential Calculus

Transfer Functions and the Laplace Transform

Matrix Calculus for Machine Learning and Beyond

Linear Partial Differential Equations: Analysis and Numerics

Probability and Random Variables

Theory of Numbers

Real Analysis

Introduction to Functional Analysis

Linear Algebra

Design and Analysis of Algorithms

Modern Algebra

Principles of Discrete Applied Mathematics

Introduction to Partial Differential Equations