The Institute for Data Science and Computing is pleased to announce the next MathWorks workshops. These sessions are independent of each other and will teach two different sets of skills.  You may register for one or both, but please note that the morning is at the College of Engineering at the Coral Gables campus, and the afternoon session is at the Miller School of Medicine.

Advanced Programming Techniques in MATLAB

Thursday, March 17, 2016 |  9:30 AM – 12:00 PM
College of Engineering, Room MEA 202
1251 Memorial Drive, McArthur Engineering Annex – Coral Gables campus

In this session you will gain an understanding of how different MATLAB data types are stored in memory and how you can program in MATLAB to use memory efficiently. In recent versions, MATLAB introduced several new programming concepts, including new function types. We will illustrate and explore the usage and benefits of the various function types under different conditions. You will learn how using the right function type can lead to more robust and maintainable code. Demonstrations will show you how to apply these techniques to problems that arise in typical applications such as image processing, optimization, and data analysis, including big data.

Highlights include:

• Memory handling in MATLAB
• Various function types

 

Please bring your own laptop (any OS).
This workshops is capped at 30 participants, and is on a first-come, first-served basis.  Please register early to avoid disappointment.

 

 

Mathematical Modeling and Simulation with MATLAB

1:30 – 4:00 PM
Batchelor Children’s Research Institute, Room 508A & B
Miller School of Medicine – Medical campus

1:30  – 4:00 PM

Mathematical models are critical to understanding and accurately simulating the behavior of complex systems. They enable important tasks such as forecasting system behavior, characterizing system response, and designing control systems. Attend this seminar to find out how you can use MATLAB and add-on products for your mathematical modeling tasks. You will also learn about different approaches that can be used to develop models. This includes leveraging pre-built graphical tools for specific modeling tasks such as parametric surface fitting, building and optimizing models using the MATLAB language, and deriving system equations using symbolic computation.

Highlights include:

• Fitting surface data using parametric models
• Predicting responses using regression trees
• Creating models derived from first principles
• Identifying parameters that optimize system performance
• Simulating models and developing custom post-processing routines
• Generating reports to document model derivation and simulation results

 

Register HERE

Please bring your own laptop (any OS).
This workshops is capped at 30 participants, and is on a first-come, first-served basis.  Please register early to avoid disappointment.