Advanced Accident and Hazards Analysis with Big Data in Aviation

课程简介

/ Indicative Syllabus Accident response and management – Aviation safety culture; Accident notification processes; Health and safety at the accident site; Aviation accident pathology. Accident investigation – Systematic approach to investigation; Collection of evidence; Data recorder and their analysis; Aviation accident photography; Hazards management on site; Investigative interview techniques. Accident analysis – Human factors in accidents; Fundamental analysis and advanced analytical approaches, such as machine learning and data mining; Developing safety recommendation. Hazard analysis – Hazard analysis methods; Effects of hazard. Hazard control. -- 1 of 3 --

目标

This subject will provide students with 1. An overview understanding of hazard recognition, accident prevention, and accident investigation; 2. The fundamental knowledge and skills to conduct a general air traffic accident investigation; and 3. Up-to-date case studies together with practical methods for accident analysis in aviation.

先修要求

/ Co-requisite/ Exclusion Pre-requisite: AAE4903 Human Factors in Aviation

Teaching Pattern

Methodology Teaching is conducted through class lectures. The basic knowledge, analytic methods, and theoretical frameworks will be introduced. The understanding of how to address and formulate problems by using classical accident analysis methods, data mining techniques, public accident reports is emphasized. Case studies and analysis are taught in class as well as the related real-life scenarios using data to enhance their research abilities. Assignment, mid-term examination and final examination are used to make up the course work marks. Teaching/Learning Methodology Intended subject learning outcomes to be covered a b c d 1. Lecture     2. Case Study    