Introduction to Numerical Analysis
MIT OpenCourseWare presents this course on numerical methods for solving science and engineering problems. Topics include root finding, interpolation, approximation of functions, numerical integration, differential equations, and both direct and iterative methods for linear algebra systems. The course covers how to analyze the efficiency and accuracy of these techniques rather than treating them as black boxes. Materials include lecture notes, problem sets, and exam materials as published by MIT, making it suitable for self-study by students with a background in calculus and linear algebra. The course is free to access through MIT OpenCourseWare, with no certificate offered. It gives a solid foundation for anyone who needs to implement or understand numerical methods used throughout applied mathematics, physics, and engineering.