The Investigation of Logistic Regression Methods Applied to Engineering Education using Project Based Learning for Airport Systems Design

Abstract

This is a work in progress on the research-to-practice to advance engineering development using logistic regression design methods in engineering education through project-based learning (PBL) activities. The aviation community has witnessed a growing concern with safety and security issues due to system vulnerability of manned and unmanned aircrafts. The implementation PBL in engineering education with major airports identified the benefits of this investigation as a multidisciplinary approach to address system vulnerabilities and analysis design approaches. This investigation includes defined methods and the factors to assess undergoing efforts of environment threats associated with complex networked systems in aviation through analysis design activities with machine learning. The ability to examine the analysis design allows learners in engineering education to deploy methods that will assess the combination of techniques and security consideration through machine learning. This project comprised of a collected dataset of network traces and malicious traffic that requires a solution and strategic model based on various scenarios to improve the software architecture design. Aviation safety and security standards are critical to the degree in which threats are constituted as each node within the network determined specific case studies for evaluation. This approach will feature a dataset that assess the spam detection categorization from a human behavior perspective and the factors to formulate data mining techniques and models in R programming language. The framework adopts the use of logistic regression and proposed techniques of the performance baseline to explore a systematic approach in the engineering design process. PBL in engineering education revealed a viewpoint from interdisciplinary approach as this study will have a wide range of features in the design analysis (e.g., revealing unwanted electronic information spread causing concerns and environmental threats to the aviation community). This study is developed to examine a common framework for processing and structuring a model using logistic regression analysis to classify key elements in the engineering process and PBL activities.