Course Outline
Part 1
A Brief Introduction to MATLAB
Objectives: Provide an overview of what MATLAB is, its components, and how it can benefit you
- An Example: C vs. MATLAB
- MATLAB Product Overview
- MATLAB Application Areas
- 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
- Customising plots
- Calculating statistics and best-fit lines
- Exporting graphics for use in other applications
Variables and Expressions
Objective: Enter MATLAB commands, with a focus on creating and accessing data stored in variables.
- Entering commands
- Creating variables
- Getting help
- Accessing and modifying values in variables
- Creating character variables
Analysis and Visualisation with Vectors
Objective: Perform mathematical and statistical calculations using vectors and create basic visualisations. Discover how MATLAB syntax enables calculations across entire datasets with a single command.
- Calculations with vectors
- Plotting vectors
- Basic plot options
- Annotating plots
Analysis and Visualisation with Matrices
Objective: Use matrices either as mathematical objects or as collections of (vector) data. Understand how to apply MATLAB syntax appropriately to distinguish between these uses.
- 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: Consolidate MATLAB commands into scripts to simplify reproduction and experimentation. As task complexity grows, 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 the wide variety of data types and formats, 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 colour and string manipulation techniques to produce visually engaging data representations.
- Graphics structure
- Multiple figures, axes, and plots
- Plotting equations
- Using colour
- Customising plots
Logic and Flow Control
Objective: Use logical operations, variables, and indexing techniques to develop flexible code capable of making decisions and adapting to different scenarios. Explore additional programming constructs for repeating code sections and those enabling user interaction.
- Logical operations and variables
- Logical indexing
- Programming constructs
- Flow control
- Loops
Matrix and Image Visualisation
Objective: Visualise images and matrix data in two or three dimensions. Examine the differences between displaying images and visualising matrix data using image techniques.
- Scattered interpolation using vector and matrix data
- 3-D matrix visualisation
- 2-D matrix visualisation
- Indexed images and colormaps
- True colour images
Part 3
Data Analysis
Objective: Perform typical data analysis tasks in MATLAB, including developing and fitting theoretical models to real-world data. This naturally leads 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: Enhance 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 between data types. Data types differ in the kind of data they can contain and how that data is organised.
- MATLAB data types
- Integers
- Structures
- Converting types
File I/O
Objective: Explore MATLAB's low-level data import and export functions, which allow precise control over text and binary file I/O. These functions include textscan, which offers detailed control when reading text files.
- Opening and closing files
- Reading and writing text files
- Reading and writing binary files
Please note that the actual delivery may differ slightly from the above outline without prior notification.
Conclusion
Please note that the actual delivery may differ slightly from the above outline without prior notification.
Objectives: Summarise what we have learned
- A summary of the course
- Other upcoming courses on MATLAB
Please note that the course may be subject to minor discrepancies during delivery without prior notification.
Requirements
- A basic understanding of undergraduate-level mathematical concepts, including linear algebra, probability theory, statistics, and matrices
- Fundamental computer operation skills
- Preferably, a basic grasp of another high-level programming language such as C, PASCAL, FORTRAN, or BASIC, though this is not essential
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
