Course Outline
Part 1
An Overview of MATLAB
Goals: Provide a comprehensive look at what MATLAB is, its components, and its capabilities.
- Comparative Example: C vs. MATLAB
- Overview of MATLAB Products
- Application Areas for MATLAB
- Benefits of Using MATLAB
- Course Structure
Navigating the MATLAB Interface
Goal: Introduce the core features of the MATLAB integrated development environment (IDE) and its user interfaces, alongside an overview of the course themes.
- MATLAB Interface Overview
- Importing data from files
- Saving and loading variables
- Generating plots
- Customizing graphical outputs
- Computing statistics and best-fit lines
- Exporting graphics for integration with other applications
Variables and Expressions
Goal: Learn to enter MATLAB commands, with a strong focus on creating and accessing data within variables.
- Entering commands
- Creating variables
- Accessing help resources
- Retrieving and modifying variable values
- Creating character-based variables
Analyzing and Visualizing Vectors
Goal: Execute mathematical and statistical calculations on vectors and produce basic visualizations. Discover how MATLAB syntax allows for efficient calculations on entire datasets using a single command.
- Vector calculations
- Plotting vectors
- Essential plot options
- Annotating plots
Analyzing and Visualizing Matrices
Goal: Utilize matrices as mathematical objects or as collections of (vector) data. Understand the appropriate use of MATLAB syntax to differentiate between these applications.
- Size and dimensionality
- Matrix calculations
- Statistical analysis of matrix data
- Plotting multiple columns
- Reshaping and linear indexing
- Multidimensional arrays
Part 2
Automating Commands with Scripts
Goal: Organize MATLAB commands into scripts for easier reproduction and experimentation. As task complexity grows, entering long sequences of commands in the Command Window becomes impractical, making scripts essential.
- Modeling Example
- The Command History window
- Creating script files
- Executing scripts
- Using comments and code cells
- Publishing scripts
Handling Data Files
Goal: 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
- Handling mixed data types
- Working with cell arrays
- Converting between numerals, strings, and cells
- Exporting data
Creating Multiple Vector Plots
Goal: Generate more complex vector plots, such as multiple plots, and utilize color and string manipulation techniques to create visually compelling data representations.
- Understanding graphics structure
- Managing multiple figures, axes, and plots
- Plotting equations
- Using color effectively
- Customizing plots
Logic and Flow Control
Goal: Utilize logical operations, variables, and indexing techniques to write flexible code capable of making decisions and adapting to different scenarios. Explore other programming constructs for repeating code sections and interacting with users.
- Logical operations and variables
- Logical indexing
- Programming constructs
- Flow control mechanisms
- Loops
Visualizing Matrices and Images
Goal: Visualize images and matrix data in two or three dimensions. Examine the distinctions between displaying images and visualizing matrix data using image techniques.
- 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
Goal: Perform common 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 systems of linear equations with a single command.
- Handling missing data
- Correlation analysis
- Smoothing techniques
- Spectral analysis and FFTs
- Solving linear systems of equations
Writing Functions
Goal: Enhance automation by encapsulating modular tasks as user-defined functions. Understand how MATLAB resolves references to files and variables.
- Benefits of using functions
- Creating functions
- Adding comments
- Calling subfunctions
- Workspaces
- Subfunctions
- Path and precedence rules
Data Types
Goal: Explore data types, focusing on the syntax for creating variables and accessing array elements. Discuss methods for converting among data types. Data types vary based on the kind of data they contain and how that data is organized.
- MATLAB data types
- Integers
- Structures
- Converting types
File I/O
Goal: 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 detailed control when reading text files.
- Opening and closing files
- Reading and writing text files
- Reading and writing binary files
Note that the actual content delivered may be subject to minor discrepancies from the outline above without prior notification.
Conclusion
Note that the actual content delivered may be subject to minor discrepancies from the outline above without prior notification.
Goals: Summarize the key learnings
- A summary of the course content
- Information on other upcoming MATLAB courses
Note that the course delivery may be subject to a few minor discrepancies without prior notifications.
Requirements
- Fundamental undergraduate-level mathematical understanding, including linear algebra, probability theory, statistics, and matrix operations.
- Proficiency in basic computer operations.
- While not mandatory, a basic familiarity with another high-level programming language (such as C, PASCAL, FORTRAN, or BASIC) is preferred.
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
