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Understanding how signals are processed and systems behave is fundamental to many engineering disciplines, from communications and control to biomedical and computer engineering. This course provides a comprehensive introduction to the essential concepts that underpin these fields. By completing this course, you will gain a solid theoretical and practical understanding of both continuous-time and discrete-time signals and systems, preparing you for more advanced topics and real-world applications. What you'll learn: * Understand fundamental classifications and properties of various signals and systems. * Apply time-domain analysis techniques, including convolution, impulse response, and system causality. * Master Fourier Series and Fourier Transform for comprehensive frequency-domain representation and analysis. * Utilize the Laplace Transform to analyze continuous-time linear time-invariant (LTI) systems. * Explore the Z-Transform for effective analysis and design of discrete-time LTI systems. * Grasp the critical principles of sampling, aliasing, and reconstruction in the context of digital signal processing. * Determine system stability and frequency response using various transform methods. The course begins by establishing foundational definitions and classifications, then progresses through time-domain analysis before diving into powerful frequency-domain and transform techniques for both continuous and discrete systems. You will learn to analyze system behavior, understand signal transformations, and apply these concepts through carefully crafted explanations and practice exercises. This course is designed for absolute beginners in electrical, electronics, computer, or related engineering fields, with no prior knowledge of signals and systems required. All explanations are provided in clear, accessible language, focusing on building a strong conceptual understanding from the ground up. Start building your foundational knowledge in signals and systems today.