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Course Outline

Part 1

A Brief Introduction to MATLAB

Objectives: Provide a comprehensive overview of MATLAB’s capabilities, components, and potential applications.

  • Example: Comparing C and MATLAB
  • Overview of MATLAB Products
  • Application Domains for MATLAB
  • Benefits of Using MATLAB
  • Course Structure

Working with the MATLAB User Interface

Objective: Familiarize participants with the core features of the MATLAB integrated development environment and its interface, while outlining the course's primary themes.

  • MATLAB Interface
  • Importing data from files
  • Saving and loading variables
  • Data plotting
  • Customizing plots
  • Calculating statistics and fitting lines
  • Exporting graphics for use in external applications

Variables and Expressions

Objective: Master MATLAB command entry, with a focus on creating and accessing data within variables.

  • Entering commands
  • Creating variables
  • Accessing help resources
  • Retrieving and modifying variable values
  • Creating character variables

Analysis and Visualization with Vectors

Objective: Perform mathematical and statistical calculations on vectors and create basic visualizations. Discover how MATLAB syntax allows for efficient calculations on entire datasets using single commands.

  • Vector calculations
  • Plotting vectors
  • Basic plot options
  • Annotating plots

Analysis and Visualization with Matrices

Objective: Utilize matrices as mathematical objects or collections of (vector) data. Learn to distinguish between these applications using appropriate MATLAB syntax.

  • Size and dimensionality
  • Matrix calculations
  • 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 easier reproduction and experimentation. As task complexity grows, entering long command sequences directly into the Command Window becomes inefficient, making scripts essential.

  • A Modeling Example
  • The Command History
  • Creating script files
  • Executing 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
  • Handling mixed data types
  • Cell arrays
  • Conversions among numerals, strings, and cells
  • Exporting data

Multiple Vector Plots

Objective: Create more complex vector plots, including multiple plot layers, and utilize color and string manipulation techniques to produce visually compelling data representations.

  • 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 write flexible code that can make decisions and adapt to different scenarios. Explore programming constructs for repeating code sections and interacting with users.

  • 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 distinctions between displaying images and visualizing matrix data through 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 standard 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.

  • Handling missing data
  • Correlation
  • Smoothing
  • Spectral analysis and FFTs
  • Solving linear systems of equations

Writing Functions

Objective: Enhance automation by encapsulating modular tasks into 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 the way the data is organized.

  • MATLAB data types
  • Integers
  • Structures
  • Converting types

File I/O

Objective: Explore the 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 of reading text files.

  • Opening and closing files
  • Reading and writing text files
  • Reading and writing binary files

Note that the actual delivered might be subject to minor discrepancies from the outline above without prior notification.

Conclusion

Note that the actual delivered might be subject to minor discrepancies from the outline above without prior notification.

Objectives: Summarise what we have learnt

  • A summary of the course
  • Other upcoming courses on MATLAB

Note that the course might be subject to few minor discrepancies when being delivered without prior notifications.

Requirements

  • Fundamental understanding of undergraduate-level mathematics, including linear algebra, probability theory, statistics, and matrix operations
  • Basic computer literacy and operational skills
  • Familiarity with a high-level programming language (such as C, PASCAL, FORTRAN, or BASIC) is preferred but not mandatory
 21 Hours

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