Introduction to Artificial Intelligence and Data Analytics in Aerospace and Aviation Engineering

课程简介

/ Indicative Syllabus (Note 2) The subject covers the following topics. Fundamental and the elements of statistical learning – variable types, terminology, statistical decision theory, statistical models. Introduction to model nature and selections in aerospace, aeronautical and aviation engineering – regression, classification, smoothing methods, model

目标

The subject will provide students with 1. An overview and introduction of the basic concepts and techniques of intelligent automation and artificial intelligence in aerospace, aeronautical and aviation engineering; 2. The applications of data analytics in intelligent automation and artificial intelligence in the domain; and 3. Operational challenges, technological limitations, emerging technologies and future directions.

先修要求

/ Co-requisite/ Exclusion Nil

Teaching Pattern

Methodology (Note 3) 1. e-Learning Module The e-learning module is developed and delivered by the Department of Computing at PolyU, consisting of readings, exercises and