In cooperation with Virginia Tech's FDI (Faculty Development Initiative), the MathWorks will be presenting a Full Day workshop on Statistical Methods with MATLAB. Attendance at this classes is open and free of charge to all faculty, staff and students at Virginia Tech.
The workshop will be held from 8am to 4pm, Thursday, November 19 in room 3060 Torgersen Hall.
The class will be taught by Marshall Alphonso, Training Services, the MathWorks. This is the standard full day class that is offered by the MathWorks, which normally costs $325 per person.
Attendance is limited to 25 persons.
A version of this class was already offered on 29 October 2009. However, that version was a much-reduced 3-hour class offering just a selection of this full course.
This course provides an introduction to the statistical tools in the MATLAB Statistics Toolbox. We will demonstrate how statistical data can be stored, analyzed and displayed using MATLAB. There will be a number of hands-on exercises to ensure that participants understand the concepts.
Topics covered will include:
This is a hands-on class. There will be exercises designed to familiarize the student with the concepts, and to test understanding.
The agenda for this course is available online at http://www.mathworks.com/services/training/courses/ST01_1.html.
To attend, go to the FDI web site, http://www.fdi.vt.edu , and check under "Fall Short Courses" for the 19 November class
Statistical Methods in MATLABor go directly to this link:
MATLAB's Statistics Toolbox provides a comprehensive set of tools to assess and understand data. Statistics Toolbox includes functions and interactive tools for modeling data, analyzing historical trends, simulating systems, developing statistical algorithms, and learning and teaching statistics.
The toolbox supports a wide range of tasks, from calculating basic descriptive statistics to developing and visualizing multidimensional nonlinear models. It offers a rich set of statistical plot types and interactive graphics, such as polynomial fitting and response surface modeling.
All toolbox functions are written in the open MATLAB language so that you can inspect the algorithms, modify the source code, and create your own custom functions.
MathWorks documentation for the Statistics Toolbox is available at "http://www.mathworks.com/products/statistics/" .
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