Sponsored by Academic Computing Services / IST
Join MathWorks engineers for this free technical demonstration of MATLAB 2013 and how it can be used as a flexible platform for technical computing, statistical analysis, and application development in engineering, math, and science curricula and research.
To learn more or to register for the seminars, please visit: http://www.mathworks.com/seminars/NJIT2013
When: Thursday October 10, 2013 from 10:00 a.m - 3:00 p.m.
Where: New Jersey Institute of Technology (NJIT) -- Campus Center Ballroom B.
Register: Click here
Who Should Attend: Students, Faculty and Researchers
Agenda9:45 a.m. - Registration & Sign-in: (walk-ins welcome)
Session 1: Introduction to Data Analysis and Visualization with MATLAB
10:00 a.m. – 12:00 p.m.
MATLAB is a programming environment for algorithm development, data analysis, visualization, and numerical computation. Using MATLAB, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and FORTRAN.
During this introductory technical seminar, we will provide an overview of MATLAB and introduce you to the powerful statistical analysis and visualization capabilities available in the MATLAB product family. We will demonstrate how to analyze and visualize data, introduce desktop tools for editing and debugging code, and show you how to publish your results.
- Accessing data from files, spreadsheets and other sources
- Performing statistical analysis, curve and surface fitting routines
- Developing algorithms and applications to automate your workflow
- Generating reports in HTML and other file formats to share your work
12:45 – 1:00 p.m.- Registration and sign in: (walk-ins welcome)
Session 2: Optimizing and Accelerating Your MATLAB Code
1:00 p.m. – 3:00 p.m
Learn simple ways to optimize your MATLAB code to reduce the execution time of computationally intensive MATLAB applications. We will address common pitfalls in writing MATLAB code and show how to automatically generate portable C source code from MATLAB algorithms to accelerate computationally intensive portions of your code.
We will also introduce high-level programming constructs from the Parallel Computing Toolbox that allow you to create and run parallel MATLAB applications on multicore processors, GPU’s and clusters without low-level CUDA or MPI programming.
- Optimizing MATLAB code to boost execution speed
- Using MATLAB Coder to automatically generate portable C code
- Creating parallel applications to speed up independent tasks
- Scaling up to computer clusters, grid environments or clouds
- Employing GPUs to speed up your computations
Users with beginner to expert MATLAB skills are welcome to attend.
Any questions, comments or concerns? Contact Jolanta Soltis - (973) 596-2925