Basic Course Description
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 1+ 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 are the requirements?
We will start from the very beginning in this course. Although i will try to focus on very basic constructs however, i will expect some Know-how of using MATLAB such as variables, matrices and some commonly used operations on the variables. Moreover, you should be familiar with the working environment of the MATLAB and should know what is command line and what is .m file etc. I am also expecting that you should have already installed Matlab Software R2016a or R2016b. Please visit mathworks official website for a free trial of the software. Majority of the Universities offer a free student version of the software, so if you are a student, contact your university for availability. You can purchase the student version directly from Mathworks. Please note that i am using its R2016a version.
What am I going to get from this course?
Your Benefits and Advantages
This is the second Udemy class on Matlab I've taken. Already, a couple important concepts have been discussed that weren't discussed in the previous course. I'm glad the instructor is comparing Matlab to Excel, which is the tool I've been using and have been frustrated with. This course is a little more advanced than the previous course I took. As an engineer, I'm delighted it covers complex numbers, derivatives, and integrals. I'm also glad it covers the GUI creation. None of those topics were covered in the more basic introduction I first took.
Great information and not talking too much, basically he is very concise and so you cover a good amount of content quickly and without getting fed up!
The course is amazing and covers so much. I love the updates. Course delivers more then advertised. Thank you!
Student Testimonials! who are also instructors in the MATLAB category
"Concepts are explained very well, Keep it up Sir...!!!"
Engr Muhammad Absar Ul Haq instructor of course "Matlab keystone skills for Mathematics (Matrices & Arrays)"
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Dr. Nouman Azam
I am Dr. Nouman Azam and i am Assistant Professor at the Department of Computer Science, National University of Computer and Emerging Sciences.I had over a decade of experience in research and teaching.
My research work is mainly on the exploration of machine learning techniques in application areas such as bioinformatics, text summarization, text categorization, email filtering, security, recommender systems and medical decision making. On theoretical side, i am interested in applying the theories of rough sets, game theory, optimization and conflict analysis to machine learning tasks. For my Masters thesis, i applied different machine learning techniques to select important features in spam email filtering. For my doctoral thesis, i investigated the applications of machine learning techniques such as rough sets, game theory, genetic algorithms, gradient descent and others to learn and extract data patterns. In the recent past, I taught many machine learning related courses at the undergraduate and graduate levels.
MATLAB remained my number one choice for implementing ideas and converting my code to meaningful softwares. I implemented all the code of my Masters and Doctoral thesis in MATLAB. Currenlty, i have six courses on MATLAB on the udemy plateform including best seller and top ranked courses.