Suchergebnisse

This book provides essential legal information on state secession in an innovative manner: unlike conventional approaches, which invariably focus on whether there is a right to secession, here the discussion centers on how secessionist conflicts can be effectively resolved. To that end, the book not only reveals the inadequacy of the current international legal framework, but also carefully considers how relevant actors can work to improve the legal system. In short, it argues that secessionists and non-secessionists should conclude an agreement to reconcile their conflicting rights to self-determination, while external actors should do their utmost to ensure the success of these efforts. Positive external involvement requires external actors to refrain from the use of force and to participate more rationally in secessionist conflicts. Given its subject matter, the book will appeal to a broad readership, including students and researchers in international law, international relations and ethnic studies, as well as enthusiasts in these fields.--

In the business environment, the goal of data analytics can be characterized as improving decision making and its links to big data and other data-driven technologies. In UK higher education, degree apprenticeships are business-led and government-supported nationally recognized qualifications, where delivery is tailored to partner employer requirements. This paper focuses on the development of the data analytics specialism of the BSc Digital and Technology Solutions degree apprenticeship at the University of Winchester Business School informed by current research and practice. A data-driven analytical framework is first proposed to provide an overarching methodology for extracting knowledge and insights from (big) data. It covers key components of the analytics lifecycle from data management, data preprocessing, and integration through data modeling and business intelligence to insight management. Software tools related to collecting, cleansing, processing, analyzing, and visualizing data have been systematically discussed to provide the technological dimension. The methodology is then applied to the development of the specialist modules in data analytics, which represent the core thematic structure of the degree apprenticeship pathway. The culmination of the paper is an evaluation of the educational innovation of this digital technologies curriculum, highlighting teaching, learning, and assessment from the perspective of data-analytic thinking.