Lectures
Overview of edge computing, IoT devices, and how generative AI fits in.
Overview of the Sensor Signal Processing including Sampling, Quantisation, and Time-series analysis using Regression
Covers basic probability theory required to build towards signal detection theory.
Covers the detection theory and networked approach to detecting the targets.
Fundamental of Internet of Things, including introduction to protocol stack.
Fundamental of ML Systems and System Design Methodology.
Fundamental of ML Systems and System Design Methodology.
Connectivity for IoT and Edge computing. Understanding Wireless communication.
Understanding the containerisation and operational principles.
Understanding the fundamentals of time-series analysis.
Labs
We will explore, Buttons and I/O concepts, Threading and bring everything together for implementing detection theory example.
This lab will explore PAN and LAN connectivity and possibility of deploying Edge AI.
