"Cambridge International AS and A Level Computer Science Coursebook delivers an accessible guide to theoretical and practical skills in Computer Science, with a clear progression of tasks that help to consolidate and develop knowledge. Cambridge International AS and A Level Computer Science Coursebook offers students detailed descriptions of the concepts, reinforced with examples that outline complex subject matter in a clear way. Alongside fundamental definitions, higher level programming skills are developed through the explanation of processes and consolidated by practical exam-type questions for students to attempt."-- Publisher description.

Written for the OCR A/AS Level Computer Science specifications for first teaching from 2015, this print student book helps students build their knowledge and master underlying computing principles and concepts. The student book develops computational thinking, programming and problem-solving skills. Suitable for all abilities, it puts computing into context and gives students a real-life view on professional applications of computing skills. Answers to end-of-chapter questions are located in the free online teacher's resource. A Cambridge Elevate enhanced edition is also available.

This text has been bought the text up to date (especially the object-oriented programming and networking chapters, HTML and ASP, networking (TCP/IP and sun-nets) and coursework. It is arranged in five modules corresponding to the AQA specification. Exercises and questions from exam papers are given at the end of each chapter.

Cambridge International AS and A Level Computer Science offers a complete set of resources to accompany the 9608 syllabus. This revision guide helps students to prepare and practice skills for the Cambridge AS and A Level Computer Science examination. It contains clear explanations and key information to support learners, with additional practice questions to help students feel confident and reinforce their understanding of key concepts.

Written for the AS/A-Level Computing syllabus, this coursebook follows the bullet points of the syllabus chronologically.

Written for the WJEC/Eduqas A/AS Level Computer Science specifications for first teaching from 2015, this print student book helps students build their knowledge and master underlying computing principles and concepts. The student book develops computational thinking, programming and problem-solving skills. Suitable for all abilities, it puts computing into context and gives students a real-life view on professional applications of computing skills. Answers to end-of-chapter questions are located in the free online teacher's resource. A Cambridge Elevate enhanced edition is also available.

This standard textbook has been comprehensively revised by experienced teacher and examiner Sylvia Langfield. Arranged in five modules corresponding to the AQA specification, there are exercises and past exam questions at the end of each chapter.

An Active Learning Approach to Teaching the Main Ideas in Computing Explorations in Computing: An Introduction to Computer Science and Python Programming teaches computer science students how to use programming skills to explore fundamental concepts and computational approaches to solving problems. Tbook gives beginning students an introduction to

Exam Board: AQA Level: AS/A-level Subject: Computer Science First Teaching: September 2015 First Exam: June 2016 This title has been approved by AQA for use with the AS and A-level AQA Computer Science specifications. AQA A-level Computer Science gives students the chance to think creatively and progress through the AQA AS and A-level Computer Science specifications. Detailed coverage of the specifications will enrich understanding of the fundamental principles of computing, whilst a range of activities help to develop the programming skills and computational thinking skills at A-level and beyond. - Enables students to build a thorough understanding of the fundamental principles in the AQA AS and A-Level Computer Science specifications, with detailed coverage of programming, algorithms, data structures and representation, systems, databases and networks, uses and consequences. - Helps to tackle the various demands of the course confidently, with advice and support for programming and theoretical assessments and the problem-solving or investigative project at A-level. - Develops the programming and computational thinking skills for A-level and beyond - frequent coding and question practice will help students apply their knowledge of the principles of computer science, and design, program and evaluate problem-solving computer systems. Bob Reeves is an experienced teacher with examining experience, and well-respected author of resources for Computing and ICT across the curriculum.

The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Software architects, developers, and even data scientists need to understand how exploit the fundamental structure of computer performance to harness it for future applications. Ideal for upper level undergraduates, Computer Architecture for Scientists covers four key pillars of computer performance and imparts a high-level basis for reasoning with and understanding these concepts: Small is fast – how size scaling drives performance; Implicit parallelism – how a sequential program can be executed faster with parallelism; Dynamic locality – skirting physical limits, by arranging data in a smaller space; Parallelism – increasing performance with teams of workers. These principles and models provide approachable high-level insights and quantitative modelling without distracting low-level detail. Finally, the text covers the GPU and machine-learning accelerators that have become increasingly important for mainstream applications.