This online course taught over 9 sessions teaches MATLAB for researchers and model developers. The course is taught by Dr. Qais Yousef and covers topics like the MATLAB interface, basic calculations, variables, functions, matrices, modeling, simulation, data visualization, and machine learning algorithms. Students will work individually with the instructor to complete a research project using MATLAB. Each 3-hour session includes a class project and individual homework assignments are due at the start of subsequent sessions for discussion. Students must have the MATLAB software and stable internet to participate.

1. International
ATITAcademy Int’l. Amman, Jordan and Bochum, Germany. WhatsApp: +962795037290. Email: info@atitgroup.com
Course Outline
MATLAB: A Complete Integrated Course for Researcher
[Online]
Mentor
Qais Yousef,
Ph.D. in Systems Optimization and Applied Neuroscience, with 10+ years of experience in
professional and academic fields.
WhatsApp: +962795037290 Email: info@atitgroup.com
Website: atitgroup.business.site Skype ID: ATITAcademy
Youtube Channel: youtube.com/c/ATITAcademy
Course Details
▪ Overview
This course is for researchers and model developers to enrich them with comprehensive knowledge that
allows them to be able to work with models, design, analyze them, and simulate them with MATLAB. Each
student will be worked with individually to start producing a respected project.
▪ Total Time
Around 30 Hours – 9 Sessions, between 3 to 3:30 hours long each.
Workshop Sessions
▪ This comprehensive course will be covered over 9 sessions as detailed below:
1. Introduction to MATLAB
2. User Interfaces of MATLAB
3. Basic Calculation
4. Working & variables
5. Essential mathematic functions
6. Working with complex number
7. Vectors
8. Matrices
9. Working with user-made functions and scripts
10. Anonymous Function and a function-handle
11. Understanding Models and Mathematical equations
12. Modeling and Simulation (Monte Carlo Simulation)

2. International
ATITAcademy Int’l. Amman, Jordan and Bochum, Germany. WhatsApp: +962795037290. Email: info@atitgroup.com
13. Plotting mathematical models
14. Data and Features Visualization Techniques
15. Distribution Functions
16. Functions Generation
17. Tips and Tricks in System Modeling (e.g. in Communication, Networks, Renewable Energy…
etc.)
18. Data Fitting
19. Image Processing Techniques: Introduction
20. Artificial Neural Network (ANN)
21. Swarm Optimization Algorithms
22. Genetic Algorithm
23. Performance Evaluation and Results Metrics
24. Convert Mathematical Models into MATLAB Code. (Paper selected by student)
25. And Model Testing and Evaluation Techniques. (Paper selected by student)
▪ A complete project will be assigned for students in each session, (aside from the class-shared
projects) to work on at home, and is required to submit it at the beginning of every session starting
from the 2nd
session. The submitted assignments will be discussed in the next session with each
student individually.
▪ Questions and discussions are highly encouraged in each session.
Remarks
▪ Each student MUST have a computer with MATLAB R2019B x64 and a stable Internet Connection in
every session.