MATLAB Computational Finance Conference 2014

Abstracts

These free, hands-on classes are a sample of MathWorks training offerings and allow attendees to use the products with the guidance of an experienced MathWorks instructor. Space is limited to 20 people, and laptops will be provided for use during the class. If you are interested, email mabel@mathworks.com.

MATLAB Programming

11:20 a.m.–12:40 p.m.
Pragya Lakhotia, Senior Team Lead, Training Services, MathWorks

This hands-on session provides an introduction to the MATLAB technical computing environment for financial professionals. Themes of data import, analysis, visualization, and modeling are explored throughout the session. Topics include:

  • Importing data from spreadsheets
  • Representing financial data in MATLAB
  • Visualizing data
  • Accessing subsets of data

About the Speaker

Pragya Lakhotia focuses on MATLAB and computational finance courses. She primarily delivers trainings on MathWorks financial products and has been working with finance industry professionals on creating customized training curricula. She has a M.S. in electrical engineering from NYU-Poly and over seven years of teaching experience with MathWorks and academic institutions.

Probability Distributions and Regression in MATLAB

2:00–3:20 p.m.
Pragya Lakhotia, Senior Team Lead, Training Services, MathWorks

Gain hands-on experience using the functionality in Statistics Toolbox™ to fit probability distributions to a data set and perform predictive modeling by fitting a linear model to a data set in this session. Topics include:

  • Fitting probability distributions to data
  • Comparing multiple fits
  • Fitting linear models to data

About the Speaker

Pragya Lakhotia focuses on MATLAB and computational finance courses. She primarily delivers trainings on MathWorks financial products and has been working with finance industry professionals on creating customized training curricula. She has a M.S. in electrical engineering from NYU-Poly and over seven years of teaching experience with MathWorks and academic institutions.

Writing Robust MATLAB Code

3:40–5:00 p.m.
Pragya Lakhotia, Senior Team Lead, Training Services, MathWorks

Experience writing robust applications by using built-in MATLAB functions, programming constructs, and employing standard techniques for handling error conditions. Topics include:

  • Creating flexible function interfaces
  • Checking for warning and error conditions

About the Speaker

Pragya Lakhotia focuses on MATLAB and computational finance courses. She primarily delivers trainings on MathWorks financial products and has been working with finance industry professionals on creating customized training curricula. She has a M.S. in electrical engineering from NYU-Poly and over seven years of teaching experience with MathWorks and academic institutions.

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