Genre: eLearning | Language: English
Learn MATLAB Programming, App designing, Data Analysis and Data Structures
MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language which is frequenlty being used by engineering and science students. This bundled course contains topics on MATLAB from basic MATLAB Programming to create apps and performing data analysis. There are five courses included in this bundle. Below is the information on each of these included courses.
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Course 1: Complete MATLAB Tutoral: Go from Beginner to Pro
In this course, we will start learning MATLAB from a beginner level, and will gradually move into more technical and advnace topics. This course is designed to be general in scope which means that it will be beneficial to students in any major. Once, passed a certain learning thresholds, you will definately enjoy MATLAB Programming. The key benefit of MATLAB is that it makes the programming available to everyone and is very fast to turn ideas into working products compared to some of the conventional programming languages such as Java, C, C++, visual basic and others.
Below is the detailed outline of this course.
Segment 1: Instructor and Course Introduction
Segment 2: Handling variables and Creating Scripts
Segment 3: Doing Basic Maths in MATLAB
Segment 4: Operations on Matrices
Segment 5: Advance Math Functions with Symbolic Data Type
Segment 6: Interacting with MATLAB and Graphics
Segment 7: Importing Data into MATLAB
Segment 8: MATLAB Programming
Segment 9: Sharing Your MATLAB Results
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Course 2: Advance MATLAB Data Types and Data Structures
This course covers the key data types that essential for students to learn in order to take full advantage of the high level programming offered by MATLAB. These data types include Cells, tables, time tables, structures and Map containers. Once the students cover these topics, they can able to taking full advantage of MATLAB strengths in data analysis and programming.
In this course we not only cover these data Types but also demonstrates different functions and operation and their conversions to make analysis and programming a greater experience. As such the following are the outlines of the course.
Segment 1: Cell Data Type
Segment 2: Table Data Type
Segment 3: Time Table Data Type
Segment 4: Structures
Segment 5: Map Containers
Segment 6: Conversion between Different Data Types
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Course 3: Create Apps in MATLAB Using GUIDE
This is a basic course on creating graphical user interfaces in Matlab with its utility called Guide. The course is designed so that a person with the basic knowledge of matlab is able to transform his code to a beautiful User Interface.
The motivation for the course, i.e., why should take it, is my observation that students and people put alot of effort in writing the code but little on its appearance. By learning this course, you will easily transform your code into a beautiful and well understood piece of software that the users will find useful to interact with. All you need is motivation to learn and basic understanding of matlab such as variables, matrices and others. The course contains 2-3 hours of recorded lectures. Every lecture contains a demonstration of the concepts.
The following is the outline of the course
Segment 1: Basics of the GUIDE
Segment 2: Linking the Code with GUI
Segment 3: Advance Techniques for GUIDE
Segment 4: Sample Projects with GUIDE
Segment 5: More Useful Tricks and Examples with GUIDE
What am I going to get from this course?
At the end of the course you be a confident user of the matlab utility called guide for making GUI for your programs.
You should be able to work with graphical user interface controls such as text boxes, buttons, check boxes and others to make gui for your code.
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Course 4: Create Apps in MATLAB Using App Designer
This is a basic course on creating apps in MATLAB using its graphical user interface utility called App Designer. The App Designer is next generation, i.e., future of designing apps in MATLAB. The App Designer contains many new design components that are absent in the conventional app designing tool called GUIDE. The course is designed so that a person with the basic knowledge of MATLAB is able to transform his code to a beautiful User Interface and app.
The motivation for the course, i.e., why should take it, is my observation that students and people put alot of effort in writing the code but little on its appearance. By learning this course, you will easily transform your code into a well understood piece of software that the users will find useful to interact with. All you need is motivation to learn and basic understanding of MATLAB such as variables, matrices and others. The course contains 3+ hours of recorded lectures. Every lecture contains a demonstration of the concepts and the codes are included with the course. The following are the outlines of the course
Segment 1: Basics of App Designer
Segment 2: Tips and Tricks for Effective use of App Designer
Segment 3: Coding GUI’s
Segment 4: Advance Techniques
Segment 5: Sample Projects with App Designer
What am I going to get from this course?
You should be able to work with graphical user interface controls such as text boxes, buttons, check boxes and others to make gui for your code.
At the end of the course you be a confident user of the matlab utility called App Designer for making GUI for your programs.
You will be able to create your GUI’s. If you have any problem I will help you.
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Course 5: Create Apps in MATLAB Using App Designer
Technical professionals often finds that they are faced with limitations when using Excel for analyzng their data. This course will illustrate the capabilities of MATLAB for overcoming these limitations. In particular, we will focus on how to supplement the capabilities of Microsoft Excel by having access to thousands of customized mathematical and advanced analysis functions, flexible visualization tools, and the ability to automate your analysis workflows.
The following are the course outlines
Segment 1: Introduction to MATLAB for Excel Users
Segment 2: Data Preprocessing and Importing Data from Excel
Segment 3: Data Analysis
Segment 4: Generating Reports for Sharing Purpose
Segment 5: Using MATLAB from Excel Enviroment
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