Join us for complimentary MATLAB instructional seminars at University of Washington on Tuesday, May 22nd and Wednesday, May 23rd in the South Campus Center (SCC) Building, Room 316. Faculty, staff and students are all welcome to attend.
Use the registration links below to learn more about the material and to register for each session. Light refreshments will be provided at the beginning of each session.
--Register now--
Register for May 22nd Sessions at: www.mathworks.com/seminars/UW522
Register for May 23rd Sessions at: www.mathworks.com/seminars/UW523
--Agenda-
Tuesday, May 22, 2012
9:30 a.m. - 12:00 p.m.
Session 1: MATLAB for Data Analysis, Visualization and Code Generation
Part 1: Data Analysis and Visualization
During this technical presentation, we will show how the interactive analysis tools in MATLAB and its thousands of pre-built engineering and analysis functions let you quickly and accurately analyze data. We will provide an overview of the MATLAB technical computing environment, including desktop tools for editing and debugging code, publishing your work, 3-D visualization, and creating graphical user interfaces (GUIs).
Part 2: Generating C and C++ Code using MATLAB Coder
In this portion of the seminar, we will demonstrate the workflow for generating readable and portable C and C++ code from your MATLAB algorithms using MATLAB Coder. Using the command-line approach or the graphical project management tool, you can introduce implementation requirements to your algorithms written in MATLAB and then generate readable source code for standalone execution, integration with other software, accelerating MATLAB algorithms, or embedded implementation.
1:00 - 3:30 p.m.
Session 2: Optimizing MATLAB Code for Performance
Part 1: Speeding Up MATLAB Applications
We will discuss and demonstrate simple ways to improve and optimize your code that can boost the execution speed of your application. We will also address common pitfalls in writing MATLAB code and explore the use of the MATLAB Profiler to find bottlenecks.
Part 2: 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. We will introduce you to high-level programming constructs that allow you to parallelize MATLAB applications and run them on multiple processors. We will also demonstrate how to take advantage of GPUs to speed up computations without low-level programming.
Wednesday, May 23, 2012
9:30 a.m. - 12:00 p.m.
Session 1: Statistical Analysis for Medical Applications with MATLAB
Medical researchers and scientists visualize and analyze large amounts of data to extract patterns, identify trends and relationships between variables, test hypothesis, etc. 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.
1:00 - 3:00 p.m.
Session 2: Using MATLAB and SimBiology to Accelerate Systems Pharmacology Research in Academia
Systems pharmacology is an emerging paradigm in drug discovery and development. Drug developers are extending traditional PK/PD modeling techniques with mechanistic models of drug action and efficacy. This mechanism-based modeling approach is more suitable for prediction and extrapolation than pure empirical approaches. In this session, we will demonstrate how to use MATLAB and SimBiology to implement workflows that merge traditional PK/PD approaches with systems biology models.
I hope you can join us. Please contact me with any questions at 508-647-7516 or angelo.damato@mathworks.com.
