"During the 16 lectures, the following topics will be covered: [a] Introduction and programming preliminaries: Philosophy of numerical analysis, programming languages, errors, introduction to course software. Discussion of the types of engineering problems which require solution by numerical methods. [b] Linear algebraic equations (Chapter 2):} Gaussian elimination, LU factorization, symmetry and banding, pivoting, iterative methods. [c] Nonlinear equations (Chapter 3):} Simple iteration, interpolation methods, extrapolation methods, systems of equations. Outcomes: Students will have a fundamental understanding of how the numerical algorithms work for solving linear and nonlinear equations. Student will also have access to a free suite of source code for solving a very wide range of engineering problems (many more than can be covered in this course) Reading: Students are encouraged to consult the textbook mentioned above."