Intelligent Sensing and Sense Making
About This Course
Sensor and sensing technology has emerged as the primary enabling technology for a wide range of applications over the past decades, and will continue to contribute to be the core component of future technologies, such as multimedia systems, Internet of Things, control system, as well as cross-disciplinary applications with pattern recognition and artificial intelligence. This intelligent sensing and sense making course presents the core theory and algorithms of signal processing fundamentals, and practical signal processing skills and strategies for real-world industrial implementations through workshop sessions.
In this 4-day course, participants will learn two key skills: (i) Performing analysis of sensor data using spatial filtering and frequency and statistical analysis; (ii) Building Intelligent systems that utilise advanced signal and sensor data processing. At the end of this course, students will be able to build intelligent systems such as smart machine diagnostic systems, smart healthcare monitoring systems, etc.
This course is part of the Artificial Intelligence and Graduate Certificate in Pattern Recognition Systems Series offered by NUS-ISS.
What You'll Learn
� Foundations of sensor signal processing in spatial and frequency domain;
� Statistical sensor signal analysis;
� Sensor signal processing using machine learning technique;
� Design and build sensor signal processing system to make sense of sensor data.
Entry Requirements
Please see course weblink for more information