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Introduction to Simulation and Hardware
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Various Simulation Softwares for Electrical Engineering
Tutors
The Diploma
PROGRAM OVERVIEW
Description
MATLAB is a high-level language and interactive environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
It contains hundreds of commands to do mathematics. You can use it to graph functions, solve equations, perform statistical tests, and so much more. It is a high-level programming language that can communicate with its cousins, e.g., FORTRAN and C. You can produce sound and animated graphics. You can do simulations and model (especially if you have access not just to basic MATLAB but also to its accessory Simulink®). You can prepare materials for export to the internet. In addition, you can use MATLAB to combine mathematical computations with text and graphics in order to produce a polished, integrated, interactive document.
A program this sophisticated contains many features and options. There are literally hundreds of useful commands at your disposal. The MATLAB help documentation contains thousands of entries. The standard references, whether the Math Works User's Guide for the product or any of our competitors contain a myriad of tables describing an endless stream of commands, options and features that the user might be expected to learn or access.
MATLAB is more than a fancy calculator; it is an extremely useful and versatile tool. Even if you only know a little about MATLAB, you can use it to accomplish wonderful things. The hard part, however, is figuring out which of the hundreds of commands, scores of help pages, and thousands of items of documentation you need to look at to start using it quickly and effectively.
What will you learn?
Matlab, which stands for Matrix Laboratory, is a complete programming environment that encompasses its own programming language, IDE (integrated development environment), libraries (called toolboxes in MATLAB), amongst many other things. MATLAB is very good at performing matrix operations, making it useful for things like image operations and control system analysis.
Introduction
Working with the MATLAB User Interface
Variables and Expressions
Operators
Flow Control
Writing Functions
Data Types
Analysis and Visualization with Vectors
Analysis and Visualization with Matrices
Graphics
File I/O
Graphical User Interfaces
Prerequisites
The Prerequisites of learning MATLAB is having basic knowledge in C language is enough.
CURRICULUM
Introduction to Simulation and Hardware
Introduction to Matlab and Simulink
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Introduction to Matlab
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Introduction to Simulink
Features & Applications of Matlab
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Features & Applications of Matlab
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Matlab Vs Simulink
Various Research Areas in Electrical Engineering
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Research Areas in Power System
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Research Areas in Power Electronics
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Research areas in Electrical Machines
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Research areas in PE Application to PS
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Research areas in PE Application to Machines
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Matlab/Simulink Toolbox Selection for Various Research areas in Electrical Engineering
Versions of Matlab
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Versions of Matlab
MATLAB Installation Steps
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MATLAB Installation Steps
Matlab Desktop
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Matlab Desktop
Matlab as a Calculator
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Matlab as a Calculator
Number Formats and Variables
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Number Formats and Variables
Getting Help
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Getting Help
Operators
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Matlab Basic Syntax
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Operators
Matlab BuiltIn Function
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BuiltIn Function
Vectors
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Vectors
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Vector Operations
Matrix Operations
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Entering Matrix in Matlab
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Matrix Operations
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System of Linear Equations
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Colon Notation
Data Types
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Data Types in Matlab
Calculus
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Algebra
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Limits
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Differential Calculus
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Maxima and Minima
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Solving Differential Equations
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Integrations
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Polynomials
Laplace and Fourier Transforms
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Laplace and Fourier Transforms
Transfer Function and Step Response
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Transfer Function Step Response
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State-Space Representation
Plots
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Plots
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Sub-Plots
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Figure Window
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3D-Plot
Matlab Programming
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Conditional Control
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Loop Control
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Matlab M-Files
Circuit Theory : Norton's Theorem
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Norton's Theorem Example - 03
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Norton's Theorem Example - 04
Circuit Theory : Thevinin's Theorem
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Thevenin's Theorem Example - 01
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Thevenin's Theorem Example - 02
Circuit Theory : Superposition Theorem
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Superposition Theorem Example - 05
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Superposition Theorem Example - 06
Circuit Theory : Nodal Analysis and Mesh Analysis
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Nodal Analysis Example - 07
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Mesh Analysis Example - 08
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Nodal Analysis Example - 09
MATLAB Assignment - Submission Date : Dec 15
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MATLAB for Electrical Engg Assignment - Submission Date : Dec 15
Circuit Theory : DC Transient
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Differential Equation Model of RL Transient Example -10
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Transfer Function Model of RL Transient Example -11
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Differential Equation Model of RC Transient Example -12
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Transfer Function Model of RC Transient Example -13
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Differential Equation Model of RLC Transient Example -14
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Transfer function model of RLC Transient Example -15