Morning: Data Analysis with MATLAB (no previous MATLAB experience needed)
Afternoon: Parallel Computing with MATLAB

Tue Feb 28 2012, 10:00-11:30am and 1:00-3:30pm Central Time

University of Oklahoma, Stephenson Research & Technology Center

SESSION I: Data Analysis with MATLAB
(No previous MATLAB experience needed)

9:45-10:00am Central Time: Registration and check-in
10:00-11:30am Central Time: Data Analysis with MATALB

Engineers, scientists, and data analysts worldwide use MATLAB to accelerate research and to reduce analysis and development time.

Attend this seminar to find out how you and your colleagues can use MATLAB and its add-on products to analyze your data more effectively and to overcome some of the limitations you face when using spreadsheets for data analysis.  We will provide an overview of MATLAB through live demonstrations.

SESSION II: Parallel Computing with MATLAB
Prerequisite: Session I, or equivalent MATLAB experience

12:45-1:00pm Central Time: Registration and check-in
1:00-3:30pm Central Time: Parallel Computing with MATLAB

In this session, you will learn how to solve computationally and data-intensive problems using multicore processors, GPUs and computer clusters.

You will be introduced to high-level programming constructs that allow you to parallelize MATLAB applications without CUDA or MPI programming and to run them on multiple processors.  You will also learn how to overcome the memory limits of your desktop computer and to solve problems that require manipulating very large matrices by distributing your data.

To register for this free workshop visit:

http://www.mathworks.com/seminars/OU2012/

People participating via videoconferencing will receive addtional details after registering.