Exam board: SQA Level: Higher Subject: Computing Science First teaching: August 2018 First exams: Summer 2019 Trust highly experienced teachers and authors Jane Paterson and John Walsh to guide you through the latest SQA Higher Computing Science specification (for examination from 2019 onwards). This is the most comprehensive resource available for this course, brought to you by Scotland's No. 1 textbook publisher. - Gain in-depth knowledge of the four areas of study (Software Design and Development, Database Design and Development, Web Design and Development, Computer Systems) with clear explanations of every concept and topic - Understand advanced concepts and processes as numerous examples throughout the book show the theory in action - Build the skills of analysis, design, implementation, testing and evaluation that are required for success in both the exam and the assignment - Apply the knowledge and skills developed through the course to a variety of practical tasks and end-of-chapter 'check your learning' questions - Use computing terminology confidently and accurately by consulting a detailed glossary of all key terms and acronyms

Exam Board: SQA Level: Higher Subject: Computing Science First Teaching: August 2018 First Exam: May 2019 Get your best grade with comprehensive course notes and advice from Scotland's top experts, fully updated for the latest changes to SQA Higher assessment. How to Pass Higher Computing Science Second Edition contains all the advice and support you need to revise successfully for your Higher exam. It combines an overview of the course syllabus with advice from a top expert on how to improve exam performance, so you have the best chance of success. - Revise confidently with up-to-date guidance tailored to the latest SQA assessment changes - Refresh your knowledge with comprehensive, tailored subject notes - Prepare for the exam with top tips and hints on revision techniques - Get your best grade with advice on how to gain those vital extra marks

Designed for undergraduates, An Introduction to High-Performance Scientific Computing assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming and can be used in any science, computer science, applied mathematics, or engineering department or by practicing scientists and engineers, especially those associated with one of the national laboratories or supercomputer centers. This text evolved from a new curriculum in scientific computing that was developed to teach undergraduate science and engineering majors how to use high-performance computing systems (supercomputers) in scientific and engineering applications. Designed for undergraduates, An Introduction to High-Performance Scientific Computing assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming and can be used in any science, computer science, applied mathematics, or engineering department or by practicing scientists and engineers, especially those associated with one of the national laboratories or supercomputer centers. The authors begin with a survey of scientific computing and then provide a review of background (numerical analysis, IEEE arithmetic, Unix, Fortran) and tools (elements of MATLAB, IDL, AVS). Next, full coverage is given to scientific visualization and to the architectures (scientific workstations and vector and parallel supercomputers) and performance evaluation needed to solve large-scale problems. The concluding section on applications includes three problems (molecular dynamics, advection, and computerized tomography) that illustrate the challenge of solving problems on a variety of computer architectures as well as the suitability of a particular architecture to solving a particular problem. Finally, since this can only be a hands-on course with extensive programming and experimentation with a variety of architectures and programming paradigms, the authors have provided a laboratory manual and supporting software via anonymous ftp. Scientific and Engineering Computation series

Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the author