MATLAB: How to create professional Graphic User Interfaces

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: What to expect

Chapter 2: Creating a calculator using Matlab's app designer

Lecture 1: Introducing our first project results

Lecture 2: A first look on how does the app designer looks like

Lecture 3: Creating callback functions

Lecture 4: Creating callback functions (Part 2)

Lecture 5: Creating properties

Lecture 6: Creating a logic for the decimal points

Lecture 7: Reducing repetitive logical structures via .m functions

Lecture 8: Reducing repetitive logical structures via .m functions (Part II)

Lecture 9: Creating a logic for the delete push button (part I)

Lecture 10: Creating a logic for the delete push button (part II)

Lecture 11: Creating a logic for the operation push buttons

Lecture 12: Using .m functions to avoid writting repetivive callback functions

Lecture 13: Taking inputs from a hardware keyboard into our Graphical User Interface

Lecture 14: Creating a logic for the Enter push button

Lecture 15: Compiling into a stand alone desktop application (part I)

Lecture 16: Compiling into a stand alone desktop application (part II)

Lecture 17: Compiling into a stand alone desktop application (part III)

Chapter 3: Simulating the air resistance on a projectile launch via GUI

Lecture 1: Showing the results of the module's project

Lecture 2: Introduction

Lecture 3: Projectile motion with air resistance mathematical model and the Euler's method

Lecture 4: projectile_motion.m explanation

Lecture 5: Draggin the components on our graphical user interface

Lecture 6: Using callback function with ChangingValueFcn

Lecture 7: Limiting the axies of the plotting window

Lecture 8: Showing the results with all the callback functions coded

Lecture 9: Compiling the project

Lecture 10: Using the code as a stand alone desktop application

Chapter 4: Linear regression prediction models + GUIs

Lecture 1: Introduction

Lecture 2: What's linear regression modeling?

Lecture 3: Linear regression modeling using Matlab

Lecture 4: Building a LRM function

Lecture 5: Showing the user the data that they are working with

Lecture 6: uigetfile function

Lecture 7: app.UITable

Lecture 8: Using properties to transmit information from one callback function to another

Lecture 9: Correcting a mistake in the previous class (my apologies)

Lecture 10: Making predictions with our model

Lecture 11: msgbox

Lecture 12: Compiling our application

Lecture 13: Installing into our computer

Lecture 14: Running our application from the desktop

Chapter 5: Congratulations.

Lecture 1: Congratulations video