This module describes the knowledge, skills and attitudes required to apply signal processing techniques. At the end of this module, trainees will be able to understand fundamental concepts like Fourier analysis and digital filtering emphasizing on the use of software platforms like MATLAB and Python libraries among others to implement, modify, analyse and synthesize real - time processing algorithms with practical experimentation. It aims to integrate cutting-edge technologies such as Machine Learning and deep learning into signal processing while developing a strong basis in mathematics.
This module provides an in-depth exploration of embedded systems focusing on smart technologies and their integration into the Internet of Things (IoT). Trainees will acquire essential skills to design, implement, and optimize embedded systems for IoT applications. The course emphasizes real-world problem-solving, innovation in connected technologies, and addressing contemporary challenges.
By the end of this module, trainees will be equipped to contribute effectively to community-based solutions and drive technological advancements in smart embedded systems.