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.

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)
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
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