[Socrates] FW: CUNY MATLAB and Simulink Seminars

Michelle Fraboni Michelle.Fraboni at qc.cuny.edu
Tue Aug 23 13:16:29 EDT 2016

Hello everyone: 
Almost in time for the new semesterŠ,  CUNY will be hosting two (free)
seminars (September 13, 2016, 9:30 am ­ 12:30 pm & September 15, 2016,
9:30 am ­ 12:30 pm)  to introduce faculty to MATLAB and Simulink software,
recently purchased by CUNY for use by faculty, students and staff
More details about the workshops and registration are listed below.

Best - 


CUNY will be hosting two (free) seminars to introduce faculty to
MATLAB and Simulink software, recently purchased by CUNY for use by
faculty, students and staff University-wide.   This mathematical computing
software is used in an array of disciplines, including engineering,
physics and other sciences, math,
 computer science, and statistics.  Please distribute this information
broadly to faculty in these fields and help us publicize this opportunity
to your interested faculty and staff.

Those wanting to attend session 1 should register at:

Those wanting to attend session 2 should register at:

You are welcome to attend both sessions.  Walk-ins are also accepted for
those unsure of their availability.
SEMINAR 1: September 13, 2016, 9:30 am ­ 12:30 pm
395 Hudson Street, New York, NY, 5th Floor TECH at Central
This free seminar will provide basic information on using MATLAB and
Simulink to develop algorithms, visualize and analyze data, and perform
numeric computation.

Overview of MATLAB: This session will provide live demonstrations of the
€             Accessing data from many sources (files, other software,
hardware, etc.)
€             Using interactive tools for iterative exploration, design,
and problem solving
€             Automating and capturing work in easy-to-write scripts and
€             Sharing results with others by automatically creating reports
Overview of Simulink: This session shows how Simulink can provide
multi-domain simulation and Model-Based Design for dynamic and embedded
systems.  This session will provide demonstrations of the following:

€             Creating a new model from scratch
€             Using libraries of pre-defined blocks
€             Creating your own reusable sub-systems
€             Incorporating MATLAB code into Simulink models
SEMINAR 2: September 15, 2016, 9:30 am ­ 12:30 pm
CUNY Advanced Science Research Center
85 St. Nicholas Terrace
New York, NY 10031
5.210 Data Visualization Room, 5th Floor
This free seminar is more advanced, intended for those with some
experience with MATLAB/Simulink or those who attended the first seminar on
September 13th.  It will be especially helpful to those conducting

The two topics covered in this session are:
Machine Learning with MATLAB
This session will explore the fundamentals of machine learning, a
computational technique that takes data and produces a model to make
predictions.  Highlights include:
€             Accessing, exploring, analyzing, and visualizing data in
€             Feature selection and feature transformation
€             Specifying cross-validation schemes
€             Training, evaluating and using many different machine
learning models
€             Integrating trained models into applications such as
computer vision, signal processing, and data analytics
Optimizing and Accelerating your MATLAB Code
This session will demonstrate simple ways to improve and optimize your
code that can boost execution speed.  It will also address common pitfalls
in writing MATLAB code, explore the use of the MATLAB Profiler to find
bottlenecks, and introduce
 programming constructs to solve computationally and data-intensive
problems on multicore computers, clusters and GPUs.  Specifically, this
session will show:
Leveraging the power of vector and matrix operations in MATLAB
Identifying and addressing bottlenecks in your code
Converting MATLAB code to C/C++ using MATLAB Coder
Utilizing additional processing power available in multicore machines,
clusters, and clouds

Michelle C. Fraboni
Queens College Center for Teaching & Learning


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