Course Outline
Part 1
A Brief Introduction to MATLAB
Objectives: Provide an overview of what MATLAB is, its components, and its capabilities.
- Example: C vs. MATLAB
- MATLAB Product Overview
- MATLAB Application Fields
- What MATLAB can do for you?
- The Course Outline
Working with the MATLAB User Interface
Objective: Introduce the main features of the MATLAB integrated design environment and its user interfaces, along with an overview of the course themes.
- MATLAB Interface
- Reading data from files
- Saving and loading variables
- Plotting data
- Customizing plots
- Calculating statistics and best-fit lines
- Exporting graphics for use in other applications
Variables and Expressions
Objective: Learn to enter MATLAB commands, focusing on creating and accessing data within 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. Discover how MATLAB syntax enables calculations on entire datasets 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 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
Part 2
Automating Commands with Scripts
Objective: Group MATLAB commands into scripts for ease of reproduction and experimentation. As task complexity increases, entering long sequences of commands in the Command Window becomes impractical.
- A Modelling Example
- The Command History
- Creating script files
- Running scripts
- Comments and Code Cells
- Publishing scripts
Working with Data Files
Objective: Import data into MATLAB from formatted files. Given that imported data can vary widely in type and format, emphasis is placed on working with cell arrays and date formats.
- Importing data
- Mixed data types
- Cell arrays
- Conversions among numerals, strings, and cells
- Exporting data
Multiple Vector Plots
Objective: Create more complex vector plots, such as multiple plots, and use color and string manipulation techniques to produce engaging visual representations of data.
- Graphics structure
- Multiple figures, axes, and plots
- Plotting equations
- Using color
- Customizing plots
Logic and Flow Control
Objective: Utilize 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 code sections and allowing user interaction.
- Logical operations and variables
- Logical indexing
- Programming constructs
- Flow control
- Loops
Matrix and Image Visualization
Objective: Visualize images and matrix data in two or three dimensions. Explore the differences in displaying images versus visualizing matrix data using images.
- Scattered Interpolation using vector and matrix data
- 3-D matrix visualization
- 2-D matrix visualization
- Indexed images and colormaps
- True color images
Part 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 MATLAB's most powerful features: solving linear systems of equations with a single command.
- Dealing with missing data
- Correlation
- Smoothing
- Spectral analysis and FFTs
- 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.
- Why functions?
- Creating functions
- Adding comments
- Calling subfunctions
- Workspaces
- Subfunctions
- Path and precedence
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 how that data is organized.
- MATLAB data types
- Integers
- Structures
- Converting types
File I/O
Objective: Explore low-level data import and export functions in MATLAB that allow precise control over text and binary file I/O. These functions include textscan, which provides precise control when reading text files.
- Opening and closing files
- Reading and writing text files
- Reading and writing binary files
Note that the actual delivered course might be subject to minor discrepancies from the outline above without prior notification.
Conclusion
Note that the actual delivered course might be subject to minor discrepancies from the outline above without prior notification.
Objectives: Summarize what we have learned
- A summary of the course
- Other upcoming courses on MATLAB
Note that the course might be subject to a few minor discrepancies when being delivered without prior notifications.
Requirements
- Fundamental undergraduate-level mathematical knowledge, including linear algebra, probability theory, statistics, and matrix concepts
- Basic computer literacy
- Familiarity with at least one high-level programming language (such as C, PASCAL, FORTRAN, or BASIC) is preferred but not mandatory
Testimonials (2)
The many examples and the building of the code from start to finish.
Toon - Draka Comteq Fibre B.V.
Course - Introduction to Image Processing using Matlab
Many useful exercises, well explained
