This course presents basic concepts on Supervised Learning which are devoted to both develop and deploy real-world Predictive Analytics frameworks envisaging
applications in the area of Intelligent Transportation Systems. It includes both relevant slides, key references and a guided pratical exercise where the source code is provided.
What are vehicular ad-hoc networks? Which are their benefits? These are two initial questions that any professional in Intelligent Transportation Systems (ITSS) may raise. In this course we give the audience a broad view of this issue. Once these concepts are learned, this course emphasizes on security and privacy matters of these networks. The student will recognize their relevance and will learn several representative approaches. The main outcome of this course is an initial knowledge of the essential concepts in this area.