MATLAB Course

• Interested in MATLAB and want to learn basics
• Those wanting to sharpen employability in areas such as engineering, data science, and mathematical applications
• Non-coders, who want to have an introduction to programming concepts without dealing with ‘hard-to-grasp’ interfaces

Beginner level - $399 

Day 1- Mastering the Basics and statistical approach (6 hours)

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 and 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, white 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

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

Topic 1: Preliminary recap on data manipulation with examples 

Topic 2: Present MATLAB Plots

• Revision of Histograms, Box plot and Scatterplot with examples
• Other plotting options
• Challenge 1: Importing Data and Apply 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 in 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 Visualisation 
• 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

• More than 6 years experience with Matlab
• Ex-trainer of Matlab for researchers in University of Melbourne
• Has a masters degree in Biomedical Engineering from the University of Melbourne