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Don't let your students miss out on easy marks, prepare them for those Maths questions with this essential guide. Written specifically to build students' confidence in maths and to prepare them for the more challenging mathematical requirements which make up 15% of the new DT specifications. - Improve confidence with structured progression of worked examples, guided and non-guided questions, and worked solutions for every question - Strengthen students' maths skills and subject understanding with worked examples and practice questions all embedded in the subject context - Develop exam confidence with exam-style maths questions - An essential tool throughout the AS and A Level course with every maths skill mapped to subject topics, and applicable to every major exam board - Reviewed by subject and maths expert Glyn Granger (former D&T chief examiner)
- Guides students through the new course and assessment structure with advice at the start of the book to help them understand what's required - Enables students to put their knowledge in context and helps them start analysing business data with case studies of real businesses included throughout - Prepares students for assessment with the 'Your turn' feature that contains practice questions including multiple choice, case study and data response, and those that test their quantitative skills
This text is an accessible, student-friendly introduction to the wide range of mathematical and statistical tools needed by the forensic scientist in the analysis, interpretation and presentation of experimental measurements. From a basis of high school mathematics, the book develops essential quantitative analysis techniques within the context of a broad range of forensic applications. This clearly structured text focuses on developing core mathematical skills together with an understanding of the calculations associated with the analysis of experimental work, including an emphasis on the use of graphs and the evaluation of uncertainties. Through a broad study of probability and statistics, the reader is led ultimately to the use of Bayesian approaches to the evaluation of evidence within the court. In every section, forensic applications such as ballistics trajectories, post-mortem cooling, aspects of forensic pharmacokinetics, the matching of glass evidence, the formation of bloodstains and the interpretation of DNA profiles are discussed and examples of calculations are worked through. In every chapter there are numerous self-assessment problems to aid student learning. Its broad scope and forensically focused coverage make this book an essential text for students embarking on any degree course in forensic science or forensic analysis, as well as an invaluable reference for post-graduate students and forensic professionals. Key features: Offers a unique mix of mathematics and statistics topics, specifically tailored to a forensic science undergraduate degree. All topics illustrated with examples from the forensic science discipline. Written in an accessible, student-friendly way to engage interest and enhance learning and confidence. Assumes only a basic high-school level prior mathematical knowledge.
If you struggle with binary multiplication, or Big O Notation, this is the book for you. This textbook companion will help improve your essential maths skills for computer science, whichever awarding body specification you're following. You can use it throughout your course, whenever you feel you need some extra help. - Develop your understanding of both maths and computer science with all worked examples and questions within a computer science context - Improve your confidence with a step-by-step approach to every maths skill - Measure your progress with guided and non-guided questions to see how you're improving - Understand where you're going wrong with full worked solutions to every question - Feel confident in expert guidance from experienced teachers and examiners Victoria Ellis and Gavin Craddock, reviewed by Dr Kathleen Maitland, Senior Lecturer in Computing and Director of the SAS Student Academy at Birmingham City University

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