Information Technology in a Global Society is the first textbook written specifically for the new IB ITGS syllabus, covering IT systems, social impacts and ethical issues, and each area of application. The text provides engaging content that blends clear examples of technical concepts with consideration of social issues. Discussion points for extended independent learning and complete, modern examples are included to enhance teaching and understanding, and ensure students get the best possible experience from the ITGS course. A free sample chapter is available on the book's web site, www.itgstextbook.com. Textbook features include: Clear objectives for each chapter, tied directly to the ITGS syllabus, so you can be sure that all aspects of the course are being covered. Course content is explained through clear and up to date examples, plus historical context. Over 200 varied exercises, mixing ethical discussion points, classroom exercises, practical activities, and exam style questions to cover the syllabus content from a variety of assessment angles. Theory of Knowledge (TOK) links are included, enabling integration with the IB core hexagon. Common mistakes and misconceptions are highlighted so students can avoid them. Key language review for every chapter, plus a complete glossary of ITGS terminology. Over 300 diagrams, photographs, and illustrations to bring topics alive. Fully cited examples in every chapter mean students can extend their learning with wider reading-an essential part of IB courses. Free online support to extend learning with additional case studies, links, and activities (www.itgstextbook.com).

This book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. 25 papers address three challenges: finding an assessment base on the uncertainty of predictions using classical statistics, Bayesian inference, and statistical learning theory; second, recognizing objects from a number of visual object classes in realistic scenes; third, recognizing textual entailment addresses semantic analysis of language to form a generic framework for applied semantic inference in text understanding.

Schools wishing to introduce the IB diploma programme are faced with major investment in terms of time, effort and money in order to become authorised. This manual is a resource for schools already offering the diploma, as well as for prospective diploma schools.

This study explores the design and application of natural language text-based processing systems, based on generative linguistics, empirical copus analysis, and artificial neural networks. It emphasizes the practical tools to accommodate the selected system.