Seminars

MATLAB Tools for Teaching and Research
An Introduction to Predictive Data Analytics

Location:
Universidad Politécnica de Cataluña
Venue:
Salón de Actos – EEBE
Date:
25 de Octubre
Time:
12:00 – 15:00

Overview

In the first half of this seminar, we will explore the teaching and research tools available in MATLAB with the Total Academic Headcount license (campus-wide access license) and e-learning platforms, such as:

The second part of the seminar will be delivered in English. You will learn how Data Analytics can turn large volumes of complex data into actionable information and improve design and decision-making processes. You will learn approaches and techniques available in MATLAB to tackle these challenges, including:

  • Accessing, exploring, and analyzing data stored in files, the web, and data warehouses.
  • Tips for cleaning, visualizing, and combining complex multivariate data sets.
  • Prototyping, testing, and refining predictive models using machine learning methods.
  • Integrating and running analytics within enterprise business systems and interactive web applications

Who Should Attend

Teachers, researchers, and students interested in learning more about MATLAB capabilities for Data Analysis and Machine Learning, as well as MathWorks e-learning software and tools available at the university.

About the Presenter

Loren Shure has worked at MathWorks for over 30 years. For the first 27 of these years, Loren co-authored several MathWorks products in addition to adding core functionality to MATLAB, including major contributions to the design of the MATLAB language. She is currently part of the Application Engineering team, enabling Loren to spend more time and energy working with customers.

She graduated from MIT with a B.Sc. in physics and has a Ph.D. in marine geophysics from the University of California, San Diego, Scripps Institution of Oceanography. She is a Senior Member of IEEE.

Loren writes about MATLAB on her blog: The Art of MATLAB (https://blogs.mathworks.com/loren).

Agenda

Time Title
  Registration
45 min MATLAB Tools for Teaching and Research
15 min Break
1h 45 min Data Analytics with MATLAB
15 min Q&A