UNL IEEE PES/PELS/IAS Jt. SBC

IEEE

Free technical seminars of MATLAB!

Please join MathWorks for a pair of free technical seminars at University of Nebraska, Lincoln Campus. Wednesday, April 22 in the Nebraska Union (City Campus), Georgian Suite 

Register now if you’d like to attend either session for free: www.mathworks.com/seminars/UNL2015 

9:45 – 10:00 – Registration and sign-in, walk-ins welcome. 
10:00 a.m. – 12:00 p.m. 
SESSION 1: Beyond Excel: Enhancing Your Data Analysis with MATLAB 

Attend this free seminar to learn how to learn how MATLAB can accelerate your data analysis work by providing access to thousands of pre-built mathematical and advanced analysis functions, versatile visualization tools, and the ability to automate your analysis workflows. With MATLAB, you can efficiently explore, analyze, and visualize your data. 

This session is intended for people who are new to MATLAB. Experienced users may also benefit from the session, as the engineer will be showing capabilities from recent releases of MATLAB including the new ways to store and manage data commonly found in spreadsheets. 

1:15 – 1:30 – Registration and sign-in, walk-ins welcome. 
1:30 p.m. – 3:30 p.m. 
SESSION 2: Parallel Computing with MATLAB 

Large-scale simulations and data processing tasks that support engineering and scientific activities such as mathematical modeling, algorithm development, and testing can take an unreasonably long time to complete or require a lot of computer memory. You can speed up these tasks by taking advantage of high-performance computing resources, such as multicore computers, GPUs, computer clusters and cloud computing services. 

MathWorks parallel computing products let you use these resources from MATLAB without making major algorithmic changes to your computing environment. Using our products, you can reduce your programming effort, run an application across a range of high-performance computing resources and program and execute parallel code interactively or in batch mode. 

In this session you will learn how to boost the execution speed of computationally and data-intensive problems using MATLAB and the Parallel Computing Toolbox. We will introduce and demonstrate the high-level programming constructs that allow you to easily create parallel MATLAB applications without low-level programming. 

This session is intended for people who have some familiarity with MATLAB or other programming languages. Others may benefit from the session, as the MATLAB language is designed to be easily used by scientists and engineers. 

Please contact Ken Cleveland with any questions at 508-647-8005 or ken.cleveland@mathworks.com.