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.

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.

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.

This course provides a practical and interactive introduction to Business Data Analytics, helping students and professionals transform raw data into actionable insights. You will learn how to collect, clean, analyze, and visualize data using Excel, Power BI, and Python, enabling informed decision-making in business and management contexts. Through hands-on exercises, real datasets, and guided projects, students will develop skills to solve business problems, create dashboards, and perform predictive analysis. The course is suitable for beginners and intermediate learners, with personalized support to match your level and goals.

This course provides a comprehensive introduction to Quantitative Research Methods, equipping students with the tools to design, conduct, and analyze research using numerical data. The course balances theory with practical application, helping learners develop strong research skills applicable in academia, business, and professional settings. Through interactive lessons, students will learn how to formulate research questions, collect and analyze data, and interpret results using statistical software such as SPSS, JASP, R, or Python. Real-world examples and exercises are included to reinforce understanding and develop practical skills for research projects or thesis work.