MATLAB tutorial provided by Zabeel is comprehensive introduction to the MATLAB technical computing environment. The MATLAB class is intended for beginning users and those looking for a review. No prior programming experience or knowledge of MATLAB programming or MATLAB CODE is assumed. Themes of data analysis, visualization, modeling, and programming are explored throughout the course. Becoming a Certified MATLAB Associate is the first step in the MATLAB certification.

1. 1

2. 2
Working with the MATLAB user interface
Entering commands and creating variables
Analyzing vectors and matrices
Visualizing vector and matrix data
Working with data files
Working with data types
Automating commands with scripts
Writing programs with logic and flow control
Writing functions
Day 1 of 3
Working with the
MATLAB User
Interface
Objective: Get an introduction to the main features of the MATLAB
integrated design environment and its user interfaces. Get an overview of
course themes.
Reading data from file
Saving and loading variables
MATLAB Fundamentals- Level 1
This three day course provides a comprehensive introduction to the MATLAB®
technical
computing environment. The course is intended for beginning users and those looking for a
review. No prior programming experience or knowledge of MATLAB is assumed. Themes of
data analysis, visualization, modeling, and programming are explored throughout the course.
Topics include:

3. 3
Plotting data
Customizing plots
Calculating statistics and best-fit line
Exporting graphics for use in other applications
Variables and
Expressions
Objective: Enter MATLAB commands, with an emphasis on creating and
accessing data in variables.
Entering commands
Creating variables
Getting help
Accessing and modifying values in variables
Creating character variables
Analysis and
Visualization with
Vectors
Objective: Perform mathematical and statistical calculations with vectors,
and create basic visualizations. See how MATLAB syntax enables
calculations on whole data sets with a single command.
Calculations with vectors
Plotting vectors
Basic plot options
Annotating plots
Analysis and
Visualization with
Matrices
Objective: Use matrices as mathematical objects or as collections of
(vector) data. Understand the appropriate use of MATLAB syntax to
distinguish between these applications.
Size and dimensionality
Calculations with matrices
Statistics with matrix data
Plotting multiple columns
Reshaping and linear indexing
Multidimensional arrays
Day 2 of 3
Automating
Commands with
Scripts
Objective: Collect MATLAB commands into scripts for ease of reproduction
and experimentation. As the complexity of your tasks increases, entering long
sequences of commands in the Command Window becomes impractical.
The Command History
Creating script files
Running scripts
Cells

4. 4
Publishing scripts
Working with
Data Files
Objective: Bring data into MATLAB from formatted files. Because imported
data can be of a wide variety of types and formats, emphasis is given to
working with cell arrays and date formats.
Importing data
Mixed data types
Cell arrays
Numbers, strings, and dates
Exporting data
Multiple Vector
Plots
Objective: Make more complex vector plots, such as multiple plots, and use
color and string manipulation techniques to produce eye-catching visual
representations of data.
Graphics structure
Multiple figures, axes, and plots
Plotting equations
Using color
Customizing plots
Logic and Flow
Control
Objective: Use logical operations, variables, and indexing techniques to
create flexible code that can make decisions and adapt to different situations.
Explore other programming constructs for repeating sections of code, and
constructs that allow interaction with the user.
Logical operations and variables
Logical indexing
Programming constructs
User interaction
Flow control
Loops
Matrix and Image
Visualization
Objective: Visualize images and matrix data in two or three dimensions.
Explore the difference in displaying images and visualizing matrix data using
images.
Vector and matrix data
3-D matrix visualization
2-D matrix visualization
Indexed images and colormaps
True color images

5. 5
Day 3 of 3
Data Analysis Objective: Perform typical data analysis tasks in MATLAB, including
developing and fitting theoretical models to real-life data. This leads
naturally to one of the most powerful features of MATLAB: solving
linear systems of equations with a single command.
Dealing with missing data
Correlation
Smoothing
Spectral analysis and FFTs
Regression models
Solving linear systems of equations
Writing Functions Objective: Increase automation by encapsulating modular tasks as user-
defined functions. Understand how MATLAB resolves references to
files and variables.
Creating functions
Calling functions
Workspaces
Subfunctions
Path and precedence
Troubleshooting Code
and Improving
Performance
Objective: Explore MATLAB tools for debugging and measuring code
performance. Very few programs work perfectly at the first attempt.
Tracking down all possible problems and unintended behaviors of a
program takes time and effort.
Debugging with the MATLAB Editor
Using breakpoints
Measuring code performance
Data Types Objective: Explore data types, focusing on the syntax for creating
variables and accessing array elements, and discuss methods for
converting among data types. Data types differ in the kind of data they
may contain and the way the data is organized.
MATLAB data types
Integers
Structures
Function handles
Converting types
File I/O Objective: Explore the low-level data import and export functions in

6. 6
MATLAB that allow precise control over text and binary file I/O. These
functions include textscan, which provides precise control of reading
text files.
Opening and closing files
Reading and writing text files
Reading and writing binary files
MATLAB : level 2
MathWorks Certified MATLAB Associate Exam
Becoming a Certified MATLAB Associate is the first step in the MATLAB® certification track. Earning this credential validates
your proficiency with MATLAB and can help you to enhance your credibility and accelerate your career. Mastery at this level
also prepares you for the next challenging level of certification, Certified MATLAB Professional.
Note: Certification exams are administered in English.
Prerequisites
MATLAB Fundamentals or equivalent experience using MATLAB ( Level 1)
Content
Topic Skills
Working with the MATLAB
User Interface
• Identify the core components of the MATLAB desktop
environment and explain their purpose
• Import data into the MATLAB environment using the Import
Wizard
• Examine data variables using the Variable Editor
• Create and customize data plots using Plot Tools
• Save and load MATLAB variables to and from disk
interactively
Variables and Expressions • Issue MATLAB commands in the Command Window
• Save and load MATLAB variables to and from disk
programmatically
• Create vector and matrix variables
• Create character arrays
• Access and manipulate the data stored in variables using row-
column indexing

7. 7
• Create larger, more complex array variables by combining
smaller elements and using matrix-creation functions
• Obtain help on MATLAB commands and navigate the
documentation browser
Analysis and Visualization
with Vectors
• Create new variables by applying arithmetic operations and
functions to existing variables
• Visualize vectors in two dimensions
• Label and annotate plots
Analysis and Visualization
with Matrices
• Determine the size and dimensionality of variables
• Use size and dimensionality concepts to perform matrix and
array (element-wise) operations
• Compute basic descriptive statistics for a data set
• Distinguish between the behavior of mathematical and
statistical functions in MATLAB
• Plot columns of a matrix as independent variables
• Access and manipulate the data stored in variables using
linear indexing
Automating Commands
with Scripts
• Use the Command History and the MATLAB Editor to write,
save, and execute script files
• Run a script file from the Command Window
• Write comments in code files to provide user help and
increase program readability
• Use cell mode to partition large scripts into smaller parts
Working with Data Files • Read and write data from and to commonly used file formats
• Create and concatenate character arrays and cell arrays of
characters
• Access and manipulate the data stored in cell arrays
• Convert between numeric and character data types
• Convert between numeric and character representations of
dates
Multiple Vector Plots • Make multiple plots on the same axes, on different axes
within the same window, and within separate windows
• Plot an equation by generating data points for a given range
• Use character array techniques to label and annotate plots
• Customize plot elements such as line style, color, and axis
appearance
Logic and Flow Control • Perform logical operations on variables and create logical
variables
• Access and manipulate the data stored in variables using
logical indexing

8. 8
• Use loops and logical branching in code files for automation
and decision making
• Create script files that obtain user input and display output
• Publish script files to a variety of file formats
Matrix and Image Visualization • Visualize matrix or image data by associating colors with
data values
• Visualize matrix data in two and three dimensions
Data Analysis • Call MATLAB functions to perform specific data-analysis
tasks, such as polynomial interpolation
• Solve matrix equations with the backslash operator
Writing Functions • Create and call a function file
• Set the MATLAB path to ensure a code file is visible
• Determine which file or variable is being accessed when a
MATLAB command is issued
Troubleshooting Code and
Improving Performance
• Use diagnostic tools to find and correct problems in code
files
• Measure code performance and locate inefficiencies
Data Types • Create data containers such as cell arrays and structure arrays
• Access and manipulate the data stored in structure arrays
• Create and use function handles
File I/O • Read and write data from and to files with arbitrary
formatting