Principles of Signals and Systems

Many modern technologies, from communication systems to medical imaging, are built upon a deep understanding of signals and systems. This course provides a clear, foundational pathway to mastering the core principles that govern how information is transmitted, processed, and interpreted. By completing this course, you will build a strong theoretical and practical foundation in signals and systems, enabling you to analyze dynamic processes and prepare for advanced topics in various technical fields. What you'll learn: * Understand the foundational mathematical concepts of signals and systems. * Analyze continuous-time signals and linear time-invariant (LTI) systems. * Apply Fourier, Laplace, and Z-transforms for system characterization and design. * Learn how to model system behavior, assess stability, and determine causality. * Explore the principles of sampling, aliasing, and reconstruction for digital signal processing. * Practice solving complex problems involving system response and frequency analysis. Beginning with fundamental definitions and classifications, the course progresses through various analytical tools, covering both continuous and discrete-time domains. This course is designed for absolute beginners with no prior knowledge of signals and systems, providing all necessary foundational concepts. Enroll now to build a robust understanding of this essential engineering discipline.