Description
This course introduces computational methods for solving mathematical problems that arise in computer science, engineering, data analysis, and scientific computing. Topics include floating-point arithmetic and error analysis, solutions of non-linear equations and linear systems, interpolation and approximation, Monte Carlo simulation of random processes, and optimization. Students will apply these techniques to real-world problems such as fitting models to noisy data, simulating physical systems, and machine learning. Students will develop and evaluate numerical algorithms for these problems using a modern programming language.
Sumeet Khatri 