MATLAB – Advance Your Career with MATLAB Programming:
MATLAB is considered to be a common programming language used for analyzing large amount of data. This training is a basic understanding of getting started with using MATLAB® technical computing environment. The course is structured in a way that we move from one topic to another through hands-on examples and exercises. MATLAB competency is developed in a natural way, with an emphasis on practical application. Themes of data analysis, visualization, modeling, and programming are explored throughout the course.
Through this course you will learn about introduction to matlab, matlab variable, creating vector variable, print hello word in matlab, difference between scalar, vector and matrices, how to plot a graph in matlab, understand plotting and labeling in matlab, label, title and legend the graph, array and linear equation, array arithmetic operation, solution metrics, polynomial equation, control flow, use while statement, m files, plot cosine function, function file, analyzing results, interpolation, probability and statistical data, plot the outcome and symbolic equation.
Target Customers:
- Researchers
- Students
- Engineers
- Programmers
- Data analysts/scientists
Pre-Requisites:
- Undergraduate-level mathematics and experience with basic computer operations
- No prior programming experience or knowledge of MATLAB is assumed
- A computer with Internet connection
For any query call/miss call-
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Section 1 MATLAB - An Interactive Beginners Guide
1 Introduction to Matlab
2 Matlab Variable
3 Creating Vector Variable
4 Print Hello Word in Matlab
5 Difference Between Scalar, Vector and Matrices
6 How to Plot a Graph in Matlab
7 Understand Plotting and Labeling in Matlab
8 Label, Title and Legend the Graph
9 Array and Linear Equation
10 Array Arithmetic Operation
11 Solution Metrics
12 Polynomial Equation
13 Control Flow
14 Control Flow Continues
15 Use While Statement
16 M Files
17 Plot Cosine Function
18 Function File
Section 2 MATLAB - Intermediate Lessons
19 Analyzing Results
20 Interpolation
21 More on Interpolation
22 Probability and Statistical Data
23 Probability and Statistical Data Continues
24 Plot the Outcome
25 Symbolic Equation
Section 3 MATLAB - Advanced Lessons
26 Introduction to Simulink
27 Sine Wave and Scope
28 Use some Gain and Saturation
29 Gain Block
30 Saturation Block
31 File System
32 File System Continues
33 Creating New File
34 Read from the File
35 More Graph Plotting
36 More Graph Plotting Continues
37 Introduction to Signal Analysis
38 Signal Analysis Continues
39 FFT Example
40 IFFT Convert Wave Form
41 Signal Processing
42 How Signal Represented in Matlab
43 Various Filter Technique
44 Designing Filter Technique Method
45 Input Signal
46 Communication System
47 Communication System Continues
48 More on Communication System Continues
49 Differential Equation
50 Differential Equation Continue
51 Structure
