Andrew Crampton – författare

How To Teach Grammar offers accessible and authoritative advice and guidance on teaching grammar. It covers both subject knowledge and classroom practice, providing practical recommendations to help English teachers improve their own depth of understanding of grammar, and their confidence and ability to deliver successful grammar teaching.

The most student-friendly revision resource for the OCR B GCSE Geography specification - written to help students to consolidate key knowledge for every topic

Your essential companion for AQA GCSE Geography success! This all-in-one revision and practice guide provides you with all the key information that you need to revise and covers the full specification with a geographical skills section to help build and reinforce your knowledge of the skills required. Learn the best way to approach exam questions and get plenty of practice across each theme and paper. Backed by research and trusted by teachers, Oxford Revise makes revision simple and effective.Exam Board: AQALevel: GCSESubject: Geography Why this revision guide?• All-in-One Revision & Practice: Everything students need for AQA GCSE Geography in one book.• Clear Structure: Follows a proven knowledge - retrieval - practice approach, the scientifically proven most effective way to learn and recall information.• Expertly Written: Created by revision specialists and supported by research into best revision techniques. Key Features:• Knowledge Organisers: Cover the key information that you need to revise in manageable chunks and help you to make connections with what you already know. Concepts are illustrated in meaningful ways with popular case studies covered throughout. An online glossary helps you to learn the definitions to key terms.• Retrieval questions: Check that you have retained the knowledge before you move onto the exam practice. Regularly going back and retrieving prior knowledge helps you combat the forgetting curve.• Exam-style practice: Lots of opportunities to practise the type of questions you will encounter in your exams with useful tips on command words and how to approach them.QR codes provide links to answers, key word definitions and further revision support on the accompanying website.For more subjects in the Oxford Revise series, search Oxford Revise or visit the Oxford Revise website oxfordrevise.com.

This professional guide and reference examines the challenges of assessing security vulnerabilities in computing infrastructure. Various aspects of vulnerability assessment are covered in detail, including recent advancements in reducing the requirement for expert knowledge through novel applications of artificial intelligence. The work also offers a series of case studies on how to develop and perform vulnerability assessment techniques using start-of-the-art intelligent mechanisms.Topics and features: provides tutorial activities and thought-provoking questions in each chapter, together with numerous case studies; introduces the fundamentals of vulnerability assessment, and reviews the state of the art of research in this area; discusses vulnerability assessment frameworks, including frameworks for industrial control and cloud systems; examines a range of applications that make use of artificial intelligence to enhance the vulnerability assessment processes; presents visualisation techniques that can be used to assist the vulnerability assessment process.In addition to serving the needs of security practitioners and researchers, this accessible volume is also ideal for students and instructors seeking a primer on artificial intelligence for vulnerability assessment, or a supplementary text for courses on computer security, networking, and artificial intelligence.

This professional guide and reference examines the challenges of assessing security vulnerabilities in computing infrastructure. Various aspects of vulnerability assessment are covered in detail, including recent advancements in reducing the requirement for expert knowledge through novel applications of artificial intelligence. The work also offers a series of case studies on how to develop and perform vulnerability assessment techniques using start-of-the-art intelligent mechanisms.Topics and features: provides tutorial activities and thought-provoking questions in each chapter, together with numerous case studies; introduces the fundamentals of vulnerability assessment, and reviews the state of the art of research in this area; discusses vulnerability assessment frameworks, including frameworks for industrial control and cloud systems; examines a range of applications that make use of artificial intelligence to enhance the vulnerability assessment processes; presents visualisation techniques that can be used to assist the vulnerability assessment process.In addition to serving the needs of security practitioners and researchers, this accessible volume is also ideal for students and instructors seeking a primer on artificial intelligence for vulnerability assessment, or a supplementary text for courses on computer security, networking, and artificial intelligence.

This professional guide and reference examines the challenges of assessing security vulnerabilities in computing infrastructure. Various aspects of vulnerability assessment are covered in detail, including recent advancements in reducing the requirement for expert knowledge through novel applications of artificial intelligence. The work also offers a series of case studies on how to develop and perform vulnerability assessment techniques using start-of-the-art intelligent mechanisms.

Topics and features: provides tutorial activities and thought-provoking questions in each chapter, together with numerous case studies; introduces the fundamentals of vulnerability assessment, and reviews the state of the art of research in this area; discusses vulnerability assessment frameworks, including frameworks for industrial control and cloud systems; examines a range of applications that make use of artificial intelligence to enhance the vulnerability assessment processes; presents visualisation techniques that can be used to assist the vulnerability assessment process.

In addition to serving the needs of security practitioners and researchers, this accessible volume is also ideal for students and instructors seeking a primer on artificial intelligence for vulnerability assessment, or a supplementary text for courses on computer security, networking, and artificial intelligence.