The module "Signal Processing and Information Theory" aims to provide undergraduate AI students with a fundamental understanding of signal processing principles and the core concepts of information theory. It introduces basic concepts and operations of continuous and discrete signals, time-domain and frequency-domain analysis, and the application of these principles in communication systems. Additionally, the module covers essential information theory topics such as entropy, mutual information, data compression, and error control coding, equipping students with the analytical skills necessary for modern data processing and communication technologies. This module is a crucial part of the AI curriculum, laying the groundwork for advanced courses in machine learning, neural networks, and data communication. By integrating concepts from electrical engineering, computer science, and mathematics, it provides a multidisciplinary approach that enhances problem-solving skills. The practical aspects of signal processing and coding prepare students for real-world applications in telecommunications and digital signal processing. Overall, this module not only strengthens students' theoretical knowledge and analytical capabilities but also prepares them for research and professional careers in AI and related fields.
A Demonstrate knowledge and understanding of foundational principles in signal processing to analyze and interpret signal behavior in various systems. B Demonstrate knowledge and understanding of core concepts in information theory. C Develop and implement basic signal processing system D Evaluate the effectiveness and applications of information coding systems in communication
The module will be delivered through a comprehensive series of instructional sessions. These include both two-hour lectures, which will delve deeply into the core concepts, and one-hour lectures, which will focus on supplementary and advanced topics. Additionally, there are four lab sessions scheduled throughout the course. These lab sessions are designed to provide students with hands-on experience and practical opportunities to apply the knowledge they have acquired during the lectures. This combination of theoretical instruction and practical application ensures a well-rounded educational experience.