Beginner level (2 DAY)

Day 1 – Mastering the Basics and Statistical Approach

• Topic 1 Introduction of Data Types and Storage Elements
• Topic 2 MATLAB Functions
  • Preliminary Recap on Scripts
  • How to Write Your Own Functions
  • Challenge 1: Write A Simple Function
• Topic 3  Why is Data Simulation Important in Work
  • What Are Random Numbers
  • Why Are They Useful in Working with MATLAB
  • Random Functions and Distributions
• Topic 4 Statistical Methods and Functions: Understanding Data
  • Statistical Functions: Mean, Median, Mode
  • Statistical Visualisation including Histograms, Box Plots and Scatter Plots
  • Challenge 2: Generate and Visualise Random Sets
• Topic 5 Fitting Lines
  • Polynomials
  • Linear Interpolation
  • Challenge 3: Fit A Line Through A Set

Day 2 – Make MATLAB Do The Work

• Topic 1 Preliminary Recap on MATLAB Functions
• Topic 2 Preliminary Introduction into Logic
  • Digital Logic
  • Logic Statements
  • Logic Operators
• Topic 3 Introducing Loops
  • If, Else-if, For, While Statements
  • Nesting Loops
  • Challenge 1: Automating Interactive Tasks with Loops and Functions
• Topic 4 Conditional Vectors: Key to Advanced Indexing
  • Logic Statements with Arrays and Matrices
  • Logic Statements with Strings and Characters
  • Indexing with Conditional Vectors
  • Challenge 2: Write A Function to Take Specific Indices of a Matrix
• Topic 5 Introduction of Data Manipulation
  • Importing
  • Managing Missing Data
  • Introduction of Using Datastores

Intermediate Level (2 DAY)

Day 1- Present Data to Your Boss with MATLAB Data Visualisation

• Topic 1 Preliminary Recap on Data Manipulation with Examples
• Topic 2 Preset MATLAB Plots
  • Revision of Histogram, Boxplot and Scatterplot with examples
  • Other Plotting Options
  • Challenge 1: Importing Data and Applying Relevant Plots
• Topic 3 MATLAB Graphics with Examples
  • Objectives and Properties
  • Object Hierarchy
  • Graphic Functions
• Topic 4 Practical Examples on Data Manipulation
  • Conditional Vectors, Categorical Data, Discretizing Data and Analysing Data in Groups
  • Challenge 2: Separate Data into Categories
• Topic 5 Higher Dimensional Visualisations
  • Working with Images
  • Making Grids
  • Interpolating Data
  • Generating Surfaces
  • 3 Dimensional Visualisations
  • Challenge 3: Generating 3D Visualisation

Day 2 – Creating Your Own Tailored Applications

• Topic 1 Description of the Desired Application
  • The Application Structure
  • Defining the Required System Blocks
  • Defining the Hierarchy and Flow of the Application
  • Understanding the Inputs and Outputs
• Topic 2 Creating the Required Functions
  • Developing the Functions One By One
• Topic 3 Combining the Functions in Order to Achieve the Desired Flow
  • Introduction to Debugging
  • Testing Function Correctness
  • Input-output Relationships of the Functions
  • Attaching Function Results in A Correct Order
• Topic 4 Generating the User Interface
  • Creating User Input Functionality
  • Generating the Desired Visualisations
  • Customising and Editing the Interface of the Application
  • Workflow Control of the Application
• Topic 5 Creating a Desktop App From MATLAB Code
• Topic 6 Personalisation of the App