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Course Outline

Part 1

A Brief Introduction to MATLAB

Objectives: Provide an overview of what MATLAB is, its components, and its capabilities for users.

  • Example: C vs. MATLAB
  • MATLAB Product Overview
  • Application Fields for MATLAB
  • Benefits of Using MATLAB
  • Course Outline

Working with the MATLAB User Interface

Objective: Introduce the main features of the MATLAB integrated design environment and its user interfaces. Gain an overview of the course themes.

  • Exploring the MATLAB Interface
  • Reading data from files
  • Saving and loading variables
  • Plotting data
  • Customizing plots
  • Calculating statistics and fitting lines
  • Exporting graphics for use in other applications

Variables and Expressions

Objective: Enter MATLAB commands, focusing on creating and accessing data within variables.

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

Analysis and Visualization with Vectors

Objective: Perform mathematical and statistical calculations with vectors and create basic visualizations. Discover how MATLAB syntax allows for calculations on entire datasets with a single command.

  • Performing 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 MATLAB syntax to distinguish between these applications.

  • Size and dimensionality
  • Performing calculations with matrices
  • Calculating statistics with matrix data
  • Plotting multiple columns
  • Reshaping and linear indexing
  • Understanding multidimensional arrays

Part 2

Automating Commands with Scripts

Objective: Group MATLAB commands into scripts for easier reproduction and experimentation. As task complexity increases, entering long sequences of commands in the Command Window becomes impractical.

  • A Modeling Example
  • The Command History
  • Creating script files
  • Running scripts
  • Using comments and Code Cells
  • Publishing scripts

Working with Data Files

Objective: Import data into MATLAB from formatted files. Since imported data can vary widely in type and format, the course emphasizes working with cell arrays and date formats.

  • Importing data
  • Handling mixed data types
  • Using cell arrays
  • Converting 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 visually appealing representations of data.

  • Understanding graphics structure
  • Managing multiple figures, axes, and plots
  • Plotting equations
  • Using color effectively
  • 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 code sections and for interacting with the user.

  • 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 naturally leads to one of MATLAB’s most powerful features: solving linear systems of equations with a single command.

  • Dealing with missing data
  • Analyzing correlation
  • Smoothing techniques
  • 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 use functions?
  • Creating functions
  • Adding comments
  • Calling subfunctions
  • Understanding 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 when reading text files.

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

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

Conclusion

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

Objectives: Summarize 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 undergraduate-level mathematical knowledge, including linear algebra, probability theory, statistics, and matrices
  • Basic computer operation skills
  • Preferably, a basic understanding of another high-level programming language (such as C, PASCAL, FORTRAN, or BASIC), though this is not strictly required
 21 Hours

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