COSC 70 Numerical and Computational Tools for Applied Science
This course provides a practical and principled coverage of useful numerical and computational tools of use in many disciplines. The first half of this course provides the mathematical (linear algebra) and computing (Matlab) framework upon which data analysis tools are presented. These tools include data fitting, Fourier analysis, dimensionality reduction, estimation, clustering, and pattern recognition. This course is designed for undergraduate and graduate students across the Sciences and Social Sciences.
Cross Listed Courses
, ENGS 20
or equivalent; MATH 8
or equivalent; MATH 22
or MATH 24
or equivalent, as approved by the instructor.
Distributive and/or World Culture