This short course provides a comprehensive overview of signal processing as a foundational discipline at the intersection of mathematics and engineering, underpinning many of today’s core technologies. Motivated by the rapid growth of intelligent, connected systems, the course introduces the fundamental principles governing the acquisition, analysis, transformation, and interpretation of signals, including audio, images, sensor data, and wireless communication signals.
The course highlights signal processing as the “hidden engine” behind modern innovations, such as speech and image recognition in Artificial Intelligence (AI) systems, high-speed wireless communications (e.g., 5G), and noise reduction and enhancement in multimedia applications. Through intuitive explanations and illustrative examples, participants will gain insights into how signal processing techniques enable reliable, efficient, and high-performance technological solutions. This course is addressed to high-school students seeking a clear conceptual foundation in signal processing and its role in enabling today’s connected data-driven world.