TechSource Systems is MathWorks Authorised Reseller and Training Partner
Learn the fundamentals of MATLAB. Themes of data analysis, visualization, modeling, and programming are explored.
Complimentary Services: Post training email support & 1-hr consultation session within 1 month after the course completion!
This three-day course provides a comprehensive introduction to the MATLAB® technical computing environment for automotive engineers. Themes of data analysis, visualization, modeling, and programming are explored throughout the course, with an emphasis on practical application to automotive engineering. Topics include:
Engineers, researchers, scientists, and managers in the Automotive industry who are new to MATLAB or want to update their knowledge on the new version of MATLAB.
Undergraduate-level mathematics and experience with basic computer operations.
Upon the completion of the course, the participants will be able to:
Objective: Become familiar with the main features of the MATLAB integrated design environment and its user interfaces. Get an overview of course themes.
Objective: Enter MATLAB commands, with an emphasis on creating variables, accessing and manipulating data in variables, and creating basic visualizations. Collect MATLAB commands into scripts for ease of reproduction and experimentation.
Objective: Perform mathematical and statistical calculations with vectors. Use MATLAB syntax is to perform calculations on whole data sets with a single command. Organize scripts into logical sections for development, maintenance, and publishing.
Objective: Use matrices as mathematical objects or as collections of (vector) data. Understand the appropriate use of MATLAB syntax to distinguish between these applications.
Objective: Import data as a MATLAB table. Work with data stored as a table.
Objective: Extract and analyze subsets of data that satisfy given criteria.
Objective: Organize table data for analysis. Represent data using appropriate native MATLAB data types.
Objective: Perform typical data analysis tasks in MATLAB, including importing data from files, preprocessing data, fitting a model to data, and creating a customized visualization of the model.
Objective: Create flexible code that can interact with the user, make decisions, and adapt to different situations.
Objective: Increase automation by encapsulating modular tasks as user-defined functions. Understand how MATLAB resolves references to files and variables. Use MATLAB development tools to find and correct problems with code.