MATLAB and Simulink Seminars

MATLAB at the University of Hawaii

Kuykendall 101, University of Hawaii Manoa


Overview

MathWorks engineers will be on campus for a series of technical seminars for MATLAB users. Please join us for all or any that are of interest to you.

Session 1: MATLAB for Excel Users

This introductory seminar is intended for beginning users and those looking for a review. No prior programming experience or knowledge of MATLAB is assumed.  MATLAB is a programming environment for algorithm development, data analysis, visualization, and numerical computation. Using MATLAB, you can solve technical computing problems faster and easier than with traditional programming languages.  During this introductory 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.  We will demonstrate how to analyze and visualize data, introduce desktop tools for editing code, and show you how to publish and share your results.

Highlights include:

  • Accessing data from files, spreadsheets and other sources
  • Performing statistical analysis, curve and surface fitting routines
  • Developing algorithms and applications to automate your workflow
  • Generating reports in HTML and other file formats to share your work
  • Developing and sharing MATLAB apps, standalone executables and software components

Session 2: Machine Learning and Deep Learning with MATLAB

Machine learning is an integral part of data analytics, which deals with developing data-driven insights for better designs and decisions. However, developing effective analytics and integrating them into current processes can be challenging. In this session, you will learn how MATLAB can help you rapidly develop, evaluate, iterate, and choose the best predictive analytics algorithm.

Highlights include: 

  • Accessing and exploring data in MATLAB
  • Developing predictive models using machine learning and deep learning 
  • Gaining insight into model accuracy and performance
  • Visualize networks and gain insight into the black box nature of deep networks
  • Share analysis tools as standalone applications, Excel add-ins, or web applications

Registration closed