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The Diploma

PROGRAM OVERVIEW

Description

MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. Typical uses include:

Math and computation

Algorithm development

Modeling, simulation, and prototyping

 Data analysis, exploration, and visualization

Scientific and engineering graphics

Application development, including Graphical User Interface building

MATLAB is an interactive system whose basic data element is an array that does not require dimensioning. This allows you to solve many technical computing problems, especially those with matrix and vector formulations, in a fraction of the time it would take to write a program in a scalar non-interactive language such as C or Fortran.

            The name MATLAB stands for matrix laboratory. MATLAB was originally written to provide easy access to matrix software developed by the LINPACK and EISPACK projects, which together represent the state-of-the-art in software for matrix computation.

            MATLAB has evolved over a period of years with input from many users. In university environments, it is the standard instructional tool for introductory and advanced courses in mathematics, engineering, and science. In industry, MATLAB is the tool of choice for high-productivity research, development, and analysis.

            MATLAB features a family of application-specific solutions called toolboxes. Very important to most users of MATLAB, toolboxes allow you to learn and apply specialized technology. Toolboxes are comprehensive collections of MATLAB functions (M-files) that extend the MATLAB environment to solve particular classes of problems. Areas in which toolboxes are available include signal processing, control systems, neural networks, fuzzy logic, wavelets, simulation, and many others.

What will you learn?

Algorithm development

Scientific and engineering graphics

Modeling, simulation, and prototyping

Application development, including Graphical User Interface building

Math and computation

Data analysis, exploration, and visualization

Pre-requisites

 In this course we start from the very beginning and no prior programming experience is required.

The will to learn programming and Matlab in Particular!

General Knowledge of Computer

CURRICULUM

  Introduction to Simulation and Hardware

  • Introduction to Simulation and Hardware
  • Various Simulation Softwares for Electrical Engineering

  Introduction to Matlab and Simulink

  • Introduction to Matlab
  • Introduction to Simulink

  Features & Applications of Matlab

  • Features & Applications of Matlab
  • Matlab Vs Simulink

  Various Research Areas in Electrical Engineering

  • Research Areas in Power System
  • Research Areas in Power Electronics
  • Research areas in Electrical Machines
  • Research areas in PE Application to PS
  • Research areas in PE Application to Machines
  • Matlab/Simulink Toolbox Selection for Various Research areas in Electrical Engineering

  Versions of Matlab

  • Versions of Matlab

  MATLAB Installation Steps

  • MATLAB Installation Steps

  Matlab Desktop

  • Matlab Desktop

  Matlab as a Calculator

  • Matlab as a Calculator

  Number Formats and Variables

  • Number Formats and Variables

  Getting Help

  • Getting Help

  Operators

  • Matlab Basic Syntax
  • Operators

  Matlab BuiltIn Function

  • BuiltIn Function

  Vectors

  • Vectors
  • Vector Operations

  Matrix Operations

  • Entering Matrix in Matlab
  • Matrix Operations
  • System of Linear Equations
  • Colon Notation

  Data Types

  • Data Types in Matlab

  Calculus

  • Algebra
  • Limits
  • Differential Calculus
  • Maxima and Minima
  • Solving Differential Equations
  • Integrations
  • Polynomials

  Laplace and Fourier Transforms

  • Laplace and Fourier Transforms

  Transfer Function and Step Response

  • Transfer Function Step Response
  • State-Space Representation

  Plots

  • Plots
  • Sub-Plots
  • Figure Window
  • 3D-Plot

  Matlab Programming

  • Conditional Control
  • Loop Control
  • Matlab M-Files

  Circuit Theory : Norton's Theorem

  • Norton's Theorem Example - 03
  • Norton's Theorem Example - 04

  Circuit Theory : Thevinin's Theorem

  • Thevenin's Theorem Example - 01
  • Thevenin's Theorem Example - 02

  Circuit Theory : Superposition Theorem

  • Superposition Theorem Example - 05
  • Superposition Theorem Example - 06

  Circuit Theory : Nodal Analysis and Mesh Analysis

  • Nodal Analysis Example - 07
  • Mesh Analysis Example - 08
  • Nodal Analysis Example - 09

  MATLAB Assignment - Submission Date : Dec 15

  • MATLAB for Electrical Engg Assignment - Submission Date : Dec 15

  Circuit Theory : DC Transient

  • Differential Equation Model of RL Transient Example -10
  • Transfer Function Model of RL Transient Example -11
  • Differential Equation Model of RC Transient Example -12
  • Transfer Function Model of RC Transient Example -13
  • Differential Equation Model of RLC Transient Example -14
  • Transfer function model of RLC Transient Example -15