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+\section{Numerical Methods}\label{numerical-methods}
+
+Engineering
+
+\subsection{What is a numerical
+method?}\label{what-is-a-numerical-method}
+
+Numerical methods are techniques that transform mathematical problems
+into forms that can be solved using arithmetic and logical operations.
+Because digital computers excel at these computations, numerical methods
+are often referred to as computer mathematics.
+
+\subsection{Numerical Differentiation}\label{numerical-differentiation}
+
+Forwards difference Backwards difference
+
+\href{https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter20.00-Numerical-Differentiation.html}{Read
+More}
+
+\subsection{Roots and Optimization}\label{roots-and-optimization}
+
+Incremental Search Bisection Modified Secant Newton-Raphson
+
+\subsection{Numerical Integration}\label{numerical-integration}
+
+Trapezoidal
+
+Simpson's Rule
+
+\href{https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter21.00-Numerical-Integration.html}{Read
+More}
+
+\subsection{Numerical Solutions of Ordinary Differential
+Equations}\label{numerical-solutions-of-ordinary-differential-equations}
+
+Euler's Method - Forward - Backwards
+
+Runge-Kutta Method
+
+\href{https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter22.00-ODE-Initial-Value-Problems.html}{Read
+More}