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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
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
Exam Board: SQA Level: Higher Subject: Computing Science First Teaching: September 2014 First Exam: Summer 2015 Get your best grade with the SQA endorsed guide to Higher Computing Science for CfE. This book contains all the advice and support you need to revise successfully for your Higher (for CfE) 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. · Refresh your knowledge with complete course 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
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
Practise for your SQA exams with three specially-commissioned Hodder Gibson Practice Exam Papers. - Practise with model papers written and checked by experienced markers and examiners - Get extra advice with specially-written study-skills guidance sections - Gain vital extra marks and avoid common mistakes with examiner tips
Exam board: SQA Level: Higher Subject: Computing Science First teaching: September 2018 First exam: Summer 2019 Practice makes permanent. Feel confident and prepared for the SQA Higher Computing Science exam with this two-in-one book, containing practice questions for every topic, plus two full practice papers - all written by an experienced marker. - Choose which topics you want to revise: A simple grid enables you to pick particular areas of the course that you want to answer questions on, with solutions provided at the back of the book - Remember more in your exam: Repeated and extended practice will give you a secure knowledge of the key areas of the course (software design and development; computer systems; database design and development; web design and development) Familiarise yourself with the exam paper: Both practice papers mirror the language and layout of the real SQA papers; complete them in timed, exam-style conditions to increase your confidence before the exams - Find out how to achieve a better grade: Answers to the practice papers have commentaries for each question, with tips on writing successful answers and avoiding common mistakes Fully up to date with SQA's requirements The questions, mark schemes and guidance in this practice book match the requirements of the revised SQA Higher Computing Science specification for examination from 2019 onwards.
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
Ensure every student can become fluent in Python with this highly practical guide that will help them understand the theory and logic behind coding. Written for 14-16-year olds by a leading Python specialist and teacher, and aligned to curriculum requirements, this essential Student Book provides numerous practice questions and coding problems that can be completed as homework or during class - plus answers can be found online at www.hoddereducation.co.uk/pythonextras How to Code in Python will:br” Provide hundreds of coding examples, puzzles and problem-solving tasks to strengthen computational thinking skills required for GCSE, iGCSE and National 4 / 5 successbr” Help students become proficient in computational thinking and problem-solving using Pythonbr” Provide easy-to-follow explanations of concepts and terminologybr” Feature plenty of opportunities for self-assessment with solutions to coding problems available onlinebrbrBThis unique book can be broken down into three key features:/Bbr” BCode theory and explanations Greg Reid is a very experienced Computer Science teacher in Scotland, who has written How to Pass Higher Computer Science and Higher Computing Science Practice Papers for Hodder Gibson.
Syllabus: CfE (Curriculum for Excellence, from Education Scotland) and SQA Level: BGE S1-3: Third and Fourth Levels Subject: Computing Science and Digital Literacy Create, innovate, solve problems, achieve. Through 30% theory and 70% practical work, pupils are challenged and motivated to develop their skills, knowledge and understanding from S1 to S3. Covering all CfE Third and Fourth Level Benchmarks for Technologies: Computing Science and Digital Literacy, this ready-made and differentiated course puts progression for every pupil at the heart of your curriculum. b” Follow a consistent, classroom-tested lesson structure: b” Build and apply computational thinking skills: b” Meet the needs of each pupil in your class: b” Effectively check and assess progress: /b'Work it out' knowledge-check questions support formative assessment within each lesson, helping you to monitor progression against the Experiences & Outcomes and Benchmarksbrbrb” Lay firm foundations for National qualifications:b” Deliver the 'responsibility for all' Es and Os: