Quantitative Methods

Catalog description

This course aims to provide essential quantitative skills required for advanced studies and practical applications that are important in algorithm optimization, signal processing, data manipulation, analysis, and data-driven decision making under uncertainty. It covers a range of topics including vector and matrix operations, advanced calculus with a focus on differentiation and integration techniques, Fourier transformations, and basic statistics and probability.