Sinds november 2025
Leraar sinds november 2025
Communication Systems: theory & Applications - Digital,
Van 40.84 € /h
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.
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.
Locatie
Online vanuit Libanon
Over
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!
- 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!
Opleiding
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)
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)
Leservaring
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.
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.
Leeftijd
Volwassenen (18-64 jaar oud)
Senioren (65+ jaar oud)
Niveau van de leerling
Beginner
Gemiddeld
Gevorderden
Duur
60 minuten
De les wordt gegeven in
Engels
Frans
Arabisch
Beschikbaarheid typische week
(GMT -05:00)
New York
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.
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.
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.
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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