The MathWorks Sessions
Jim Cain
Enrollment limited: advance sign up required (see contact below)
Signup by: 08-Jan-2012
Limited to 50 participants.
Participants welcome at individual sessions (series)
Prereq: Prior MATLAB helpful
Learn more about how you can use MathWorks products as a flexible environment for technical computing and application development in engineering, math, and science curricula and research. Attend as many sessions as you wish.
Also cosponsored by The Student Information Processing Board.
For detailed information about the sessions and presenters, go to url below.
Web: http://www.mathworks.com/company/events/seminars/mit_iap12/
Contact: Lauren Tabolinsky, lauren.tabolinsky@mathworks.com
Sponsor: Electrical Engineering and Computer Science
Cosponsor: Office of Educational Innovation and Technology
Parallel Computing with MATLAB
Sarah Zaranek PhD and Jiro Doke, PhD, The Mathworks
Overcome the memory limits of your desktop computer and solve problems that require manipulating very large matrices by distributing your data. Solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters.
Mon Jan 23, 10am-12:30pm, 4-163
Advanced Graphics and Visualization in MATLAB
Sumit Tandon, Application Engineering, The MathWorks
Visualizing multidimensional data, viewing images, and manipulating graphics in MATLAB, techniques for customizing graphical displays, creating animations, and creating publication-quality graphics. Loading, processing, and viewing large images and data and visualizing higher dimension data with advanced 3D objects in a virtual reality environment.
Mon Jan 23, 01:30-03:30pm, 4-163
Introduction to MATLAB: Problem Solving and Programming
Laura Proctor, Kye Taylor, Training Engineers The MathWorks
MATLAB essential for classes or research. You’ll learn how to write a MATLAB script and create a report in HTML or some other format. You’ll also learn how to write your own MATLAB functions, use flow control, and create loops.
By the end of the session, you’ll have learned to create an application in MATLAB.
Bring a laptop to this hands-on lab!
Tue Jan 24, 01-05:30pm, 4-163
Mathematical Modeling with MATLAB
Loren Shure, PhD, Principal MATLAB Developer, The MathWorks
Find out how you can use MATLAB and related products for your mathematical modeling tasks.
Highlights include:
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; and
Generating reports to document model derivation and simulation results.
Wed Jan 25, 10am-12:30pm, 4-163
How Basic Communication Theory Turns into a 4F Wireless Systems Model in MATLAB
Houman Zarrinkoub, PhD, Senior Product Manager, The MathWorks
Highlights include:
Modeling, simulation, and visualizing the performance of the communications system in MATLAB;
Using Communications System Toolbox™ to incorporate components such as modulators, channel models, convolutional and turbo encoder/decoder, MIMO, and OFDM into your model; System-level throughput analysis with adaptive modulation based on channel characteristics.
Wed Jan 25, 01:30-04:30pm, 4-163
Introduction to Object-Oriented Programming in MATLAB
Abhishek Gupta, Application Engineer, The MathWorks
Learn to define classes and work with objects and highlight the benefits of this programming approach over traditional procedural techniques. Features covered include class definitions, properties, property attributes, methods, method attributes, and inheritance.
No knowledge of object-oriented programming is required.
Thu Jan 26, 10am-12:00pm, 4-163
Computer Vision with MATLAB
Bruce Tannenbaum, Technical Marketing Manager The MathWorks
Computer vision uses images and video to detect, classify, and track objects or events in order to understand a real-world scene. New capabilities for computer vision R&D in Computer Vision System Toolbox™ and additional toolboxes, automatic image registration and stereo image rectification with feature-based methods and texture classification algorithms.
Some experience with MATLAB and Image Processing Toolbox assumed.
Thu Jan 26, 01:30-03:30pm, 4-163
Applied Curve Fitting with MATLAB
Richard Willey, Technical Marketing Manager, The MathWorks
This session focuses on functions and algorithms in Statistics Toolbox and Optimization Toolbox™:
Nonparametric regression in low- and high-dimensional spaces; Sequential feature selection; Cross validation; Regularization techniques including lasso and ridge regression; and Logistic regression.
The session assumes a basic working knowledge of MATLAB, but advanced knowledge of statistics is not required.
Fri Jan 27, 10am-12:00pm, 4-163
Latest update: 06-Dec-2011
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