GCSE Computer Science for OCR Digital Student Book (2 Years) Updated Edition

GCSE Computer Science for OCR Digital Student Book (2 Years) Updated Edition Author/s: David Waller Written for the OCR GCSE Computer Science updated specification (J277) for first teaching from 2020. This digital student book has been updated and reordered and uses an exciting and engaging approach to help students build their knowledge and master underlying computing principles and concepts. Designed to develop computational thinking, programming and problem-solving skills, this resource includes challenges and real-life examples that demonstrate how computer science relates to everyday life with practice questions. Our new reflection feature helps students to reflect on their progress and see where they could improve. Answers can be found in the teacher’s resource. Features: Tailored to the updated OCR GCSE Computer Science specification for first teaching from 2020. Easy-to-follow chapters, including learning objectives at the beginning of each chapter and challenges that build on these objectives, provide a clear structure for student learning. Real-life examples demonstrate how computer science relates to everyday life. Programming projects build programming skills, knowledge and confidence in preparation for the assessment. Contains contextual activities to support the less confident and open-ended challenges to stretch. Remember features act as revision references and check points for students understanding. Highlights the key mathematical skills relevant to computer science throughout. Reflection activities help students to reflect on their own learning and explore how they could improve. Contents: Introduction 1. The Central Processing Unit 2. Primary and secondary storage 3. Data representation 4. Networks 5. Protocols and layers 6. Threats to computer systems and networks 7. Operating systems and utility software 8. Ethical, legal, cultural and environmental impacts of digital technology 9. Algorithms 10. Programming fundamentals 11. Data types and additional programming techniques 12. Searching and sorting algorithms 13. Creating robust programs 14. Boolean logic 15. Programming languages and Integrated Development Environments Programming project skills