Fundamental Concepts of MATLAB Programming

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(MATLAB.AW1) / ISBN : 978-1-64459-633-3
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About This Course

Understand the Fundamental Concepts of MATLAB Programming & take the world of data by storm. 

Manage data with functions, arrays in columns & rows, and handle errors like a pro! Don’t let creativity stop ~ utilize MATLAB toolboxes and make data visually stunning with image processing & Machine Learning. 

Train with interactive lessons, gamified tests & a certificate of completion! Enroll now. 

Skills You’ll Get

Handle massive amounts of data with MATLAB’s computing power. Create applications, simulations, and computation measures. Examine the various commands and essential concepts of MATLAB. Learn Importing & exporting data.  Visualize data in different ways by plotting graphs.  Utilize the basic algebraic functions used in MATLAB Analyze the Decision (making) Control Statements.  Access & Delete values from vectors & matrix.  Sort & manage multi-dimensional arrays.

1

Preface

2

Basics of MATLAB

  • Objective
  • Introduction
  • Importance of MATLAB
  • The MATLAB interface
  • The Features of MATLAB
  • The MATLAB paradigm
  • Applications of MATLAB
  • The MATLAB setup
  • Some helpful screenshots
  • Conclusion
3

Expressions and Basic Commands of MATLAB

  • Objective
  • Introduction
  • Expression checking
  • Valid expression
  • Invalid expression
  • Notations
  • Comments
  • Basic commands
  • Conclusion
4

Data Types, Variables and Operators

  • Introduction
  • Type conversion
  • Variable
  • Some important commands
  • Operators in MATLAB
  • Set operations
  • Conclusion
5

Decision Control Statements

  • Objective
  • Introduction
  • Types of decision making
  • Conclusion
6

Loops Control Statements

  • Objective
  • Introduction
  • Types of loops
  • The jumping statements
  • Conclusion
7

Vectors

  • Objective
  • Introduction
  • Types of vectors
  • Accessing value from vector
  • Deletion of data from vector
  • Basic operations of vector
  • Appending of vectors
  • Magnitude of vector
  • The dot product of a vector
  • Scalar operations of vectors
  • Conclusion
8

Matrix

  • Objective
  • Introduction
  • Accessing value from the matrix
  • Deletion of data from the matrix
  • Concatenation of matrices
  • Identity and inverse of matrices
  • Scalar operations of matrix
  • Determinant of matrix
  • Transpose of matrix
  • Conclusion
9

Arrays

  • Objective
  • Introduction
  • Why array?
  • Types of array
  • Declarations and initialization of an array
  • Predefined functions in an array
  • Some other functions
  • Multi-dimensional arrays
  • Sorting of arrays
  • Accessing data in cell arrays
  • Conclusion
10

Strings

  • Objective
  • Introduction
  • An array of character in rectangular form
  • Functions of strings
  • Arrays, functions for identifying parts of strings, find and replace substrings
  • Functions for string comparison
  • Some other functions
  • Conclusion
11

Functions

  • Objective
  • Introduction
  • Types of functions
  • Conclusion
12

Data Import and Export

  • Objective
  • Introduction
  • Why Data Import?
  • Low-level file I/O
  • Import text data files with low-level I/O
  • Data export
  • Conclusion
13

Plotting a Graph

  • Objective
  • Introduction
  • Types of plot
  • Various commands and functions
  • The view() function
  • Conclusion
14

Graphics

  • Objective
  • Introduction
  • Types of graphics objects
  • Object properties
  • Using the handle
  • Conclusion
15

Basic Algebra in MATLAB

  • Objective
  • Introduction
  • The solve( ) function
  • The root( ) function
  • The disp( ) function
  • Solving linear equations
  • Solving quadratic equations
  • Solving higher order equations
  • Expanding and collecting equations in MATLAB
  • Factorization and simplification of algebraic expressions in MATLAB
  • The calculus in MATLAB
  • Solving limits
  • Left and right sided limits
  • Differential formations
  • Derivatives of logarithmic, exponential and trigonometric functions
  • Maxima and minima of a curve
  • The solution of differential equations
  • Integration
  • Definite integral using MATLAB
  • Calculations of polynomials
  • Roots of the polynomials
  • Polynomial curve fitting
  • Conclusion

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  MATLAB stands for Matrix Laboratory. It’s a programming language that utilizes numerical computation, data analysis, and visualization to manage huge piles of data with a strong focus on matrix and array-based mathematical operations.

MATLAB can be utilized for several advanced functions like data analysis & Mathematical modeling and simulation for engineers & scientists. MATLAB can also be used for Machine learning and AI development, Data analysis and visualization, etc.

MATLAB can be utilized by various individuals like - 

  • Students
  • Engineers
  • Scientists & Researchers
  • Data Analysts
  • Financial Analysts
  • Machine Learning and AI Developers 

MATLAB can be the feather on your cap in your professional journey. Get employed as an Image Processing Expert, Data Analyst/Scientist, Software Engineer, Research Analyst & Financial Analyst.

Grow with MATLAB!

  Let your data handling skills get you the best jobs in the market with MATLAB fundamentals course.

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