The course focuses on the challenge of integrating AI into Embedded Systems in which students will learn how to apply fuzzy logic and neural networks to handle with real time data in embedded systems. It covers 2 major parts:

Part 1: describes AI field, history and applications as well as its relationship with embedded systems

Part 2: details fuzzy logic and inferences, neural networks (from biology to mathematical representation of MLP), then their application in embedded systems

Essalem,

Welcome to this course ...