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Courses and Events

The Datasim range of courses in Quantitative Finance have been designed for those professionals who model and develop derivatives products using robust and accurate numerical methods and who deploy the resulting algorithms in powerful object-oriented languages such as C++ and C#. Datasim is one of the few training institutions that can offer a number of courses on topics that are of vital importance in quantitative finance:

  • The Finite Difference Method (FDM) for one, two and three factor derivative modeling
  • The Monte Carlo method and simulation techniques for multi-factor problems
  • Numerical Methods for Quantitative Analysts
  • Introductory and Advanced C++ courses for finance
  • Multi-threaded and parallel processing in C++
  • C# for Computational Finance Applications


We give these courses in various venues throughout the world, for example, London, New York City and Frankfurt. Another popular option is in-company courses where the same courses as above can be given or alternatively a customized course based on your specifications.  Once you have finished our course you can avail of the free forums at the Datasim web site to ask questions on the course, download relevant code and communicate with other course attendees.

These courses were developed by Dr. Daniel J. Duffy, an internationally known trainer, Wiley author and practitioner of numerical methods in C++ for derivatives pricing. He is the author of three popular books on finance. At the moment he is developing a customisable C++ Monte Carlo framework which will be published as a Wiley book in 2007 (co-author is Dr. Jörg Kienitz).

Note: The distance learning courses can start at any time.

 

Course Dates

Date / durationCourseLocation
Any time
(Distance learning)
Distance Learning - Computational and Quantitative Finance in C++ (full course) Distance Learning
Any time
(Distance learning)
Distance Learning - Computational and Quantitative Finance in C++ (modules 4 - 6) Distance Learning
Any time
(Distance learning)
Distance Learning - Advanced Finite Difference Method for Quantitative Finance: Theory, Applications and Computation Distance Learning
Any time
(Distance learning)
Distance Learning - Mathematics for Quantitative and Computational Finance - Analysis, Algebra and Numerical Methods Distance Learning
Any time
(Distance learning)
Distance Learning - Advanced C++ - Programming Models, boost and Parallel Computation Distance Learning
Any time
(Distance learning)
Distance Learning - Advanced C# for Computational Finance and Derivatives' Pricing Distance Learning
Any time
(Distance learning)
Distance Learning - C++ and its Application in Finance Distance Learning
Any time
(Distance learning)
Distance Learning - Creating Add-in Excel Applications using C++ and C#; Interoperability Software Tools and Applications Distance Learning
Jul 19 - Jul 21 2010
(3 days)
C++ and its Application to Finance London
(United Kingdom)
Aug 25 - Aug 27 2010
(3 days)
C++ and its Application to Finance New York
(United States)
Sep 06 - Sep 08 2010
(3 days)
Advanced C# for Computational Finance and Derivatives' Pricing London
(United Kingdom)
Oct 18 - Oct 20 2010
(3 days)
Advanced C++ for Computational Finance London
(United Kingdom)
Oct 27 - Oct 29 2010
(3 days)
Advanced C++ for Computational Finance New York
(United States)
Nov 01 - Nov 03 2010
(3 days)
Advanced Finite Difference Method for Quantitative Finance: Theory, Applications and Computation New York
(United States)
Nov 10 - Nov 12 2010
(3 days)
Creating Add-in Excel Applications using C++ and C#; Interoperability Software Tools and Applications London
(United Kingdom)
Nov 15 - Nov 17 2010
(3 days)
Advanced Finite Difference Method for Quantitative Finance: Theory, Applications and Computation London
(United Kingdom)
Dec 01 - Dec 03 2010
(3 days)
Advanced C++ for Computational Finance Paris
(France)
Dec 06 - Dec 08 2010
(3 days)
Advanced Finite Difference Method for Quantitative Finance: Theory, Applications and Computation Paris
(France)