Computational Finance

CSCI-6120

Introduction to the computational and mathematical techniques for practical financial applications. The course will emphasize the algorithmic side of finance. Topics will be selected from pricing (options and derivatives), trading, risk-evaluation, selfish agents, sequential decisions, and portfolio optimization. Examples of the mathematical and algorithmic techniques covered are martingale measures, risk-neutral pricing and Monte Carlo, dynamic programing, and stochastic processes. Students cannot receive credit for both CSCI 4120 and CSCI 6120.

4 credits
Cross-listed with:
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2025
2024
2023
2022
Computational Finance (4c)
  • Malik Magdon-Ismail
Seats Taken: 10/50
2021
2020
2019
2018
Computational Finance (4c)
  • Malik Magdon-Ismail
Seats Taken: 10/0
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
2000
1999
1998