Seminar Invitation: Speeding Up Analysis of Excel Data

	Date	16 February 2012
	Venue	The Pavilion, Cape Town
	Time	Session 1: 08:30 Session 2: 10:30
	MATLAB allows you to rapidly analyse data and build algorithms. As the complexity of these algorithms and size of the data grows, you can scale your computation to multiple processors, GPUs and the cloud. We will address each of the topics in our first double session seminar: Session One – Data analysis with MATLAB and Excel Session Two – Speeding up MATLAB using parallel computing You can either register for one or both of these sessions.

 

The first session will look at using MATLAB to analyse data that is stored in Excel. MATLAB through its ability to interact with Excel provides an environment to easily and quickly analyse and visualise your data. This analysis can then be used to build efficient new algorithms extending existing capabilities. This session is suitable for people who are new to MATLAB.

The second session will examine how the analysis can be speeded up using parallel computing to leverage the full capabilities of your desktop or laptop. Many algorithms require long periods of time to execute, either due to the complexity of the algorithms or due to the amount of data on which they operate. Parallel Computing Toolbox can be used to address these constraints. This session is suitable for existing MATLAB users or those wanting to speed up their algorithms or handle very large data sets.

Both sessions will include an introduction to the concepts as well as live demonstrations.

Who should attend?

The seminar is relevant to anyone involved in research, data analysis, and product development, including:

• Research engineers
• Test and evaluation engineers
• Calibration engineers
• Reliability engineers
• Design engineers
• Data analysts
• Scientists

Seminar Highlights

Session One:

• Access data from many sources, including Excel spreadsheets, databases, hardware and other software applications
• Quickly explore, analyse and visualise data with easy-to-use interfaces and built-in functions
• Perform statistical analysis, curve fitting and more
• Customise and automate analysis and reporting
  
  

Session Two:

• Reduce the run-time of algorithms and models
• Make use of parallel computing on multi-core/processor computers and GPUs
• Perform task or data parallelisation

 

Agenda

• 08:30 - 09:00 - Registration. Tea and Coffee
• 09:00 - 09:10 - Introduction
• 09:10 - 09:20 - Data Analysis Overview
• 09:20 - 10:20 - Data Analysis with MATLAB and Excel
• 10:20 - 10:30 - Wrap-up of Session One Q&A
• 10:30 - 10:50 - Tea and Coffee Break
                           Registration for Session Two
  
• 10:50 - 11:00 - Introduction to Parallel Computing
• 11:00 - 12:00 - Speeding up Applications Using Parallel Computing Toolbox
• 12:00 - 12:30 - Wrap-up of Session Two Q&A