Latest version (R2016b) of matlab has been installed on sphere

The latest version (R2016b) of matlab has been installed on sphere.  We have the following toolboxes: Simulink, Bioinformatics, Control, Curve_Fitting, Signal_Blocks, Data_Acq, Image, Instr_Control, Optimization, Distrib_Computing, Signal, SimMechanics, Simscape, Simulink_Control_Design, Stateflow, Statistics, Symbolic, Econometrics, Financial, and PDE.  The Econometrics and Financial toolboxes are older, and there is only one license for the PDE toolbox so please do not hold onto that toolbox unless necessary.

MATLAB Technical Seminars at UofT on May 15, 2014

Complimentary MATLAB seminars for educators, academic researchers and students at the University of Toronto have been scheduled:

Date: Thursday, May 15
Location: Claude T. Bissell Building, Room 205 (BL 205)
Time: 10:00 a.m. – 12:00 p.m.
1:00 – 3:00 p.m.

10:00 a.m. – 12:00 p.m.: Session 1: Image Processing and Computer Vision with MATLAB to Detect, Classify and Track Objects
Learn how to explore images and video, perform analyses, develop algorithms, optimize performance and easily share your results.

1:00 – 3:00 p.m.: Session 2: Introduction to Signal Processing with MATLAB
Learn how to acquire, analyze and visualize time-based signals and spectra in MATLAB and the Signal Processing Toolbox.

View the complete session descriptions and register at www.mathworks.com/seminars/UT-May2014.

MATLAB updated to latest stable version (R2014a)

MATLAB has been updated to R2014a (the latest stable version) on sphere.  Type matlab on sphere to access this new version.

MATLAB Technical Seminars at UofT on April 3 and 4, 2014

 

Complimentary MATLAB seminars for educators, academic researchers and students at University of Toronto have been scheduled:

Date: Thursday, April 3
Time: 1:00-3:00p.m.
Date: Friday, April 4
Time: 10:00a.m.-12:00p.m.
Location: Claude T. Bissell Building, Room 205 (BL 205)
 

Thursday, April 3
1:00-3:00p.m.: Session 1: Data Analytics and Machine Learning with MATLAB

Learn about machine learning techniques that are available in MATLAB, as well as, how to quickly explore your data, evaluate machine learning algorithms, compare results, and apply the best technique to your problem.

Friday, April 4
10:00a.m.-12:00p.m.
Session 2: Financial Modeling and Economic Analysis with MATLAB

Learn how to access data from multiple sources, and rapidly analyze and visualize data for financial modeling and economic analysis.

View complete session descriptions and register at http://www.mathworks.com/seminars/UT.