Differential Equations
MIT OCW – Differential Equations
Course materials on first-order equations, linear systems, Laplace transforms, Fourier series and applications.
Discrete Mathematics
MIT OCW – Mathematics for Computer Science
Course materials on proofs, induction, graph theory, number theory, counting, probability and discrete structures.
Discrete Mathematics
Saylor Academy – Discrete Structures
Self-paced course covering logic, proofs, sets, relations, functions, graphs and combinatorics.
Probability and Statistics
Khan Academy – Statistics and Probability
Lessons and practice on descriptive statistics, probability, distributions, inference and regression.
Probability and Statistics
OpenStax – Introductory Statistics 2e
Open textbook covering descriptive statistics, probability, distributions, confidence intervals and hypothesis testing.
Probability and Statistics
OpenStax – Introductory Business Statistics 2e
Open textbook for statistics applied to business, economics and management decision-making.
Probability and Statistics
CMU OLI – Probability and Statistics
Online learning materials for probability, descriptive statistics, inference, regression and data analysis.
Numerical Methods
MIT OCW – Introduction to Numerical Methods
Course materials on numerical approximation, error, interpolation, integration, linear systems and differential equations.
Optimisation
MIT OCW – Optimization Methods
Course materials on linear, nonlinear and constrained optimisation for engineering and management applications.
Physics
OpenStax – University Physics Volume 1
Mechanics, waves and thermodynamics for calculus-based physics.
