I’m starting a MS in Statistics this Fall. Besides the graduate coursework I’m also planning on taking an extra undergrad class. I’m trying to decide between Data Structures and Introduction to Numerical Analysis. If my ultimate goal is working in industry, which course should I take?
Here are the topics covered in those classes:
Numerical Analysis: Introduction to the computation of approximate solutions to mathematical problems that cannot be solved by hand: analysis of errors; rootfinding for nonlinear equations in one variable; interpolation of functions; numerical integration.
Data Structures: Abstract data types, dynamic arrays, linked lists, trees and graphs, binary search trees, hash tables, storage management, complexity analysis of data structures.