The purpose of this video is to use oral and visual means to teach programming concepts and skills needed for problem solving for individuals with little knowledge on programming language, all using MATLAB as the vehicle. MATLAB is a powerful software package that has built-in functions to accomplish a diverse range of tasks, from mathematical operations to three-dimensional imaging.

This video training and lecture was created for those individuals having very little knowledge on programming language(beginners), not only
to help build their skills in MATLAB but also introduce a step by step practical approach on program construct to have a better understanding on how a programming language is being read.

The video package is divided into three part:

Part I (programming and problem solving): contains nine(9) chapters which covers the programming constructs and demonstrates the efficient use of built-in functions to solve problems and also introduce some applications, including plotting, image processing, and mathematics needed in basic problem solving. Note that The first four chapters cover the very basics in MATLAB and in programming, and are all prerequisites for the rest of the chapters.

Part II(Graphic User Interface (GUI) app creation): contains how to interact with graphical icon and visual indicator using the MATLAB GUIDE to create user interface like simple calculator, sliders, font size selector, check box, graphics display such as graph and image and also in this part, an interactive app was created for combined loading(Mechanical engineering)

Part III(Machine learning: Artificial Neural Network(ANN)): contains the concept of ANN, its structure and discussion on the activation function and the training algorithms for network learning and concept used by MATLAB to obtain network generalization and of course how to create a regression network model for estimation, prediction and also a classifier model for pattern recognition and classification by either using the MATLAB Neural Network toolbox or modify the script derived to your taste. And also how to analyse your network model on how good its performance is, and various ways and methods in perfecting your network.

These three parts can be either be purchase separately or as a whole package. the purchase of Part I is also flexible and one can purchase any chapter in this part separately. The whole package goes for #25000 and the price of part I goes for #15000, part II goes for #7000, Part III goes for #10000. Note that the price for each chapter in Part I are listed in the agenda of each chapter below.

Kindly note that free consultancy will be offered to those who purchases any chapters in part I(based on the chapter being purchased), while an extra fee will be required for consultancy to those who purchases part II or part III.

Please feel free to ask me any questions here and for purchase, contact me via my signature.
thank you

PART I (programming and problem solving)

chapter1(Introduction to MATLAB) #2000
•Getting into MATLAB
•Variables and Assignment Statements
•Initializing, Incrementing, and Decrementing
•Variable Names
•Expressions
•The Format Function
•Operators
•Built-In Functions and Help
•Constants
•Random Numbers
•Vectors and Matrices
•Creating Row Vectors
•Creating Column Vectors
•Creating Matrix Variables
•Dimensions
•Using Functions with Vectors and Matrices
•Empty Vectors

chapter2(Introduction to MATLAB programming) #2500
•Algorithms
•MATLAB Scripts
-Documentation
•Input and Output
-Input Function
-Output Statements: disp and fprintf
•Scripts with Input and Output
•User-Defined Functions that Return a Single Value
-Function Definitions
-Calling a Function
-Calling a User-Defined Function from script
-Passing Multiple Arguments

chapter3(Selection statement) #2500
•Relational Expressions
•The if Statement
•The if-Else Statement
•Nested if-Else Statements (Elseif clause)
•The Switch Statement
•The Menu Function
•The is Function

chapter4(Looping) #3500
•The for Loop
-Finding Sums and Products
-Combining for Loops with if Statements
-Input in a for Loop
•Nested for Loops
-Nested Loops and Matrices
-Combining Nested for Loops and if Statements
•Vectorizing
-Logical Vectors
-Vectors and Matrices as Function Arguments
While Loops
-Multiple Conditions in a While Loop
-Reading from a File in a While Loop
-Input in a While Loop
-Counting in a While Loop
-Error-Checking User Input in a While Loop

chapter5(MATLAB program) #2000
•More Types of User-Defined Functions
-Functions that Return More than One Value
-Functions that Accomplish a Task Without Returning Values
-Passing Arguments to Functions
•Matlab Program Organization
-Modular Programs

chapter6(MATLAB plot) #3000
•The Plot Function
-Simple Related Plot Functions
-Matrix of Plots
-Plot Types
•Animation
•Three-Dimensional Plots
•Graphics Properties
•Plot Applications
-Plotting from a Function

chapter7(Basic statistic) #1000
•Statistical Functions
-Mean
-Variance and Standard Deviation
-Mode
-Median
•Set Operations
•Sorting
-Sorting Vectors

chapter8(Sights and sound) #2500
•Sound Files
•Introduction to Handle Graphics
-Graphics Objects and Their Properties
•Image Processing

Chapter9(Advanced function and mathematics) #5000
•Advanced Functions
-Anonymous Functions
-Uses of Function Handles
-Function Functions
-Variable Numbers of Arguments
Variable Number of Input Arguments
•Solving Systems of Linear Algebraic Equations
-Matrix Definitions
Matrix Properties
Square Matrices
Matrix Operations
Matrix Multiplication
Vector Operations
-Matrix Solutions to Systems of Linear Equation
•Algebraic Equations
-Solving 2 by 2 Systems of Equations
-Reduced Row Echelon Form
•Symbolic Mathematics
-Symbolic Variables and Expressions
-Simplification Functions
-Displaying Expressions
-Solving Equations
•Fitting Curves to Data
-Polynomials
-Curve Fitting
-Interpolation and Extrapolation
-Least Squares
•Calculus: Integration and Differentiation
-Trapezoidal Rule and simpson
-Differentiation
-Calculus in Symbolic Math Toolbox

PART II(Graphic User Interface (GUI) app creation)
>initializing GUIDE (GUI Creator)
> creating the visual aspect of the GUI
-Edit text component
-Static text component
-Pushbutton component
-Slider component
-Pop-up menu component
-Axes component
-Checkbox component
-radiobutton component
-Button panel component
>writing code for the GUI callbacks
>launching the GUI
>creating an interactive GUI app using some of the GUI components

Part III(Machine learning: Artificial Neural Network(ANN))
> introduction
> application
> structure
> activation function
> MATLAB training algorithms
> network Model
-regression model
-classifier model
> analyzing network generalization
> creating the two network model using
-the MATALB NN toolbox
-modification of network model(increasing the no. of hidden layer, changing the default activation function and training Algorithms etc)