IE 523
fall 2024
Financial Computing
Credit: 4 hours.
Review of C++ programming: structures, classes, I/O, C++ standard libraries, Recursion. Linear Algebra tools and MILP solvers in C++. Computational aspects of probability, statistics and simulation in C++. Methods: Root-finding, Taylor's Expansion, FFTs, Dynamic Programming, Monte Carlo Methods. Financial computing case studies in C++.
4 graduate hours. No professional credit. Prerequisite: CS 225.
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