MATLAB Fundamentals

This three-day course provides a comprehensive introduction to the MATLAB® technical computing environment. No prior programming experience or knowledge of MATLAB is assumed. Themes of data analysis, visualization, modelling, and programming are explored throughout the course.

Description

Day 1  Day 2  Day 3
Working with the MATLAB User Interface Analysis and Visualization with Matrices Analysing Data
Objective: Become familiar with the main features of the MATLAB integrated design environment and its user interfaces. Get an overview of course themes. 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: Perform typical data analysis tasks in MATLAB, including importing data from files, pre-processing data, fitting a model to data, and creating a customized visualization of the model.
  • Reading data from files
  • Creating and manipulating matrices
  • Importing from spreadsheets and delimited text files
  • Saving and loading variables
  • Performing calculations with matrices
  • Dealing with missing data
  • Plotting data
  • Calculating statistics with matrix data
  • Plotting functions
  • Customizing plots
  • Visualizing matrix data
  • Customizing plots
  • Exporting graphics for use in other applications
    
     
Variables and Commands Tables of Data Increasing Automation with Programming Constructs
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: Import data as a MATLAB table. Work with data stored as a table. Objective: Create flexible code that can interact with the user, make decisions, and adapt to different situations.
  • Entering commands
  • ·Storing data as a table
  • Programming constructs
  • Creating numeric and character variables
  • Operating on tables
  • User interaction
  • Making and annotating plots
  • Extracting data from tables
  • Decision branching
  • Getting help
  • Modifying tables
  • Loops
  • Creating and running live scripts
    
     
Analysis and Visualization with Vectors Conditional Data Selection Increasing Automation with Functions
Objective: Perform mathematical and statistical calculations with vectors. Use MATLAB syntax to perform calculations on whole data sets with a single command. Organize scripts into logical sections for development, maintenance, and publishing. Objective: Extract and analyze subsets of data that satisfy given criteria. 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.
  • Performing calculations with vectors
  • Logical operations and variables
  • Creating functions
  • Accessing and modifying values in vectors
  • Finding and counting
  • Calling functions
Formatting and sharing live scripts
  • Logical indexing
 Setting the MATLAB path
   
  • Debugging
   
  • Using breakpoints
   
  • Creating and using structures
  Organizing Data  
  Objective: Organize table data for analysis. Represent data using appropriate native MATLAB data types.  
 
  • Combining tables of data
  
 
  • Table metadata
  
 
  • Dates and durations
  
 
  • Discrete categories
  

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