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Since November 2025
Instructor since November 2025
Communication Systems: theory & Applications - Digital, Analog and Modern Wireless Technologies. Matlab and Python
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From 36.99 Fr /h
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This course offers a comprehensive and interactive introduction to Communication Systems, covering the essential concepts behind how information is transmitted, received, and processed across various communication channels. The course adapts to the student’s level (beginner, intermediate, or advanced) and provides a solid foundation in both analog and digital communication.

Students will learn the theoretical principles that govern modern communication systems and reinforce learning through practical examples and optional hands-on simulations using MATLAB or Python. Real applications related to wireless networks, mobile communications, satellite links, IoT, and modern digital communication can be integrated depending on the student’s interests.
Location
location type icon
Online from Lebanon
About Me
Hello! I’m Abbass, an experienced instructor passionate about engineering, data science, and research skills. I specialize in teaching technical and quantitative subjects in a clear and practical way, including:

- Signal Processing & Communication Systems
- Circuit Analysis and Design
- Quantitative Research Methods
- Business Data Analytics (Excel, Power BI, Python)
- Statistics and Probability
- Calculus, Linear Algebra and Math Courses.

My teaching approach is interactive, hands-on, and tailored to each student’s level and goals. I combine theory with practical exercises, real-world examples, and software tools to ensure deep understanding and confidence in applying concepts.

Whether you are a university student, professional, or lifelong learner, I aim to make complex topics accessible, engaging, and immediately useful for your studies, projects, or career.

Let’s explore these subjects together and make learning both effective and enjoyable!
Education
PhD in Information and Communication Technologies from University of Western Brittany (2017)
MS in Electronics from the Lebanese University (2012)
I have HDR degree (the highest of the higher academic degree in the French system) from the University of Western Brittany (2025)
Experience / Qualifications
I'm Associate Professor at the Business Computing Department of the USEK Business School.

Educational Background: Advanced knowledge in Engineering, Signal Processing, Communication Systems, Circuit Design, Data Analytics, and Quantitative Research Methods.

Teaching Experience: more than 13 years of experience teaching university students, professionals, and enthusiasts in engineering, data science, and research-focused subjects.

Research & Projects: Hands-on experience in applied projects, academic research, and professional case studies involving MATLAB, Python, Power BI, and Excel.

Technical Skills: Proficient in signal processing, communication systems, circuit analysis, data visualization, statistical analysis, and programming for analytics.

Professional Approach: Strong focus on practical learning, personalized instruction, and real-world applications to help students excel in exams, projects, and professional tasks.
Age
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
French
Arabic
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
This course provides a clear and engaging introduction to Signal Processing, with a balanced mix of theory and practical applications. Students will learn how signals are generated, analyzed, transformed, filtered, and processed in real-world systems. The course adapts to the student’s level, whether beginner, intermediate, or advanced.

Through interactive lessons, you will explore both continuous-time and digital signal processing (DSP) concepts, supported by hands-on exercises using MATLAB or Python (based on student preference). Real applications in audio, communications, IoT, biomedical, and image processing can be integrated depending on your goals.
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This course provides a clear and structured introduction to Circuit Analysis and Design, combining theoretical concepts with practical applications. Students will learn how electrical circuits operate, how to analyze them systematically, and how to design reliable circuits for real-world applications. The course adapts to your level, whether beginner, intermediate, or advanced.

Through step-by-step explanations, interactive examples, and optional hands-on exercises using MATLAB, Python, or circuit simulation software (e.g., Proteus, Multisim, LTSpice), students will gain confidence in solving circuit problems and designing circuits for projects, labs, or research.
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verified badge
..................................... (satisfied or refunded)........ .......
Electrical engineering expert
PhD student in electrical engineering and renewable energies
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===Continuous and sampled signal processing=================
===VHDL programming, microcontroller and microprocessor (intel, ARM)============
===High frequency electronics (transistor, diode, AOP, noise)============
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Identifying different electronic components: resistors, capacitors, diodes, transistors, and sensors.

Understanding correct electrical connections

Reading electronic circuits and working with breadboards

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Introduction to Arduino boards

Explanation of the C++ programming language used with Arduino

How to download code and test projects step by step

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Connecting sensors and smart switches

Lighting and electrical appliance control

Designing a system that controls the home using a mobile phone

Introduction to the Internet of Things (IoT) and its connection to home control

4. Controlling the home from a mobile phone

Creating simple control interfaces

Connect using Wi-Fi or Bluetooth

Remote device operation and sensor monitoring

5. Practical training

Real Arduino circuit experiment

Using simulation software such as Tinkercad and Proteus

Practical projects ready for implementation

Who is this course for?

Beginners in the field of electronics

Students interested in Arduino programming

Who wants to create a smart home project?

Anyone who wants to understand how electronics work in a simple and practical way
verified badge
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💡 My courses allow you to:
Understanding the basics of electricity

Master electronic circuits, control systems, and automatons

Learn at your own pace with concrete examples, diagrams, simulations and guided exercises

🧰 Content suitable for:
High school students / students in BTS, DUT, license, preparatory classes, engineering schools......

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International students (courses available in French or English)

✅ What sets me apart:
Clear, progressive and caring approach

Support after the course if needed (questions, corrections, etc.)

Online or face-to-face courses
verified badge
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Project structuring

Technology choices

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Finalization and delivery of the project
verified badge
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With structured practice, guided problem-solving, and exam-focused strategies, students gain both clarity and confidence.
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This class provides an introduction to the fundamental principles of electrical and electronic engineering with emphasis on control systems and their industrial applications. Topics include basic electrical circuits, electronic components, signal analysis, and the modeling and control of dynamic systems. Students will explore how electrical and electronic technologies are used to design, analyze, and regulate modern engineering systems, including automation, power systems, and industrial processes. The course integrates theoretical concepts with practical examples to develop analytical and problem-solving skills relevant to engineering practice.
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1. Fundamentals of Networks and Systems
Before breaking something, you need to know how it works. In this stage you will learn:
The OSI Model: Understanding how data travels from an application to the physical cable.
Essential protocols: What TCP/IP, DNS, HTTP/S and FTP are and how they work.
Command line: Overcoming the fear of the Linux terminal and the Windows CMD.
2. The Security Triad (CIA)
This is the industry's "Lord's Prayer." A good course will teach you how to protect these three fronts:
Confidentiality: Ensure that only authorized people see the data (Encryption).
Integrity: Ensuring that the information is not altered (Hashing).
Availability: That the systems are active when needed (Mitigation of DoS attacks).
3. Types of Attacks and Threats
This is where the theory gets exciting. You will learn to identify:
Social Engineering: How attackers deceive people (Phishing, Vishing).
Malware: Differences between viruses, Trojans, ransomware and spyware.
Web Vulnerabilities: Basic concepts such as SQL Injection or Cross-Site Scripting (XSS).
4. Defense and Mitigation
It's not all about attack; most of the real work is about protecting:
Using Firewalls and Antivirus: Basic Configuration.
Identity Management: Two-factor authentication (2FA) and biometrics.
Basic cryptography: How public and private keys work.
SIEM Log event management.
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I offer one-to-one Machine Learning and AI tuition for university students, postgraduates, working professionals, and serious self-learners. Lessons are available online or in person around Birmingham.
What I cover:

Python for data science and ML (NumPy, Pandas, Scikit-learn)
Deep learning with TensorFlow and Keras
Core ML concepts: regression, classification, clustering, neural networks, CNNs
Computer vision and image classification (my published research area)
University coursework support, dissertation help, project guidance
Help with Kaggle competitions and personal portfolio projects

How I teach:
I focus on understanding, not memorisation. We work through real datasets and real problems — not toy examples — so you can actually apply what you learn. I'll help you build a model from scratch, debug it when it doesn't work, and explain the maths behind why it does or doesn't perform well. For university students, I can also help with assignments, dissertations, and final-year projects.
Whether you're just starting out, stuck on a coursework project, or trying to break into ML professionally, I can meet you wherever you are and help you move forward.
Good-fit Instructor Guarantee
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