Introduction to Computing

The fourth edition of this popular text has been significantly rewritten to make it more accessible to students and easier for instructors to use. It remains distinctive in presenting a unified narrative of cognitive science as a field of inquiry in its own right. Thematically organized, Cognitive Science underscores the problems and solutions of cognitive science rather than more narrowly examining individually the subjects that contribute to it - psychology, neuroscience, linguistics, and so on. The generous use of examples, illustrations, and applications demonstrates how theory and experiment can be applied to unlock the mysteries of the human mind. Drawing upon cutting-edge research, the text has been updated and enhanced with a new chapter on emotions and the emerging field of affective science. An extensive online set of resources is available to aid both instructors and students.

How does a lawyer think? Does legal intuition exist? Do lawyers need imagination? Why is legal language so abstract? It is no longer possible to answer these questions by applying philosophical analysis alone. Recent advances in the cognitive sciences have reshaped our conceptions of the human mental faculties and the tools we use to solve problems. A new picture of the functioning of the legal mind is emerging. In The Legal Mind, Bartosz Brożek uses philosophical arguments and insight from the cognitive sciences to depict legal thinking as a close cooperation between three cognitive mechanisms - intuition, imagination, and language - and addresses the question of how to efficiently use these mental tools. This novel and provocative approach provides a fresh perspective on legal thinking and gives rise to important questions pertaining to the limits of legal interpretation and rationality in the law.

Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. “Try This!” exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specif