The key features of the workbook are: Consolidates the Student's Book lessons with targeted practice, unit by unit Additional practice of reading, writing, speaking, listening and use of English skills Extensive grammar and vocabulary practice Complete practice exam in Unit 10 Designed for independent study at home and practice in class Audio for listening lessons available on the Student's App
The key features of the workbook are: Consolidates the Student's Book lessons with targeted practice, unit by unit Additional practice of reading, writing, speaking, listening and use of English skills Extensive grammar and vocabulary practice Complete practice exam in Unit 10 Designed for independent study at home and practice in class Audio for listening lessons available on the Student's App
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.
This lively, practical text presents a fresh and comprehensive approach to doing qualitative research. The book offers a unique balance of theory and clear-cut choices for customizing every phase of a qualitative study. A scholarly mix of classic and contemporary studies from multiple disciplines provides compelling, field-based examples of the full range of qualitative approaches. Readers learn about adaptive ways of designing studies, collecting data, analyzing data, and reporting findings. Key aspects of the researcher's craft are addressed, such as fieldwork options, the five phases of data analysis (with and without using computer-based software), and how to incorporate the researcher's “declarative” and “reflective” selves into a final report. Ideal for graduate-level courses, the text includes:* Discussions of ethnography, grounded theory, phenomenology, feminist research, and other approaches.* Instructions for creating a study bank to get a new study started.* End-of-chapter exercises and a semester-long, field-based project.* Quick study boxes, research vignettes, sample studies, and a glossary.* Previews for sections within chapters, and chapter recaps.* Discussion of the place of qualitative research among other social science methods, including mixed methods research.
The key features of the workbook are: Consolidates the Student's Book lessons with targeted practice, unit by unit Additional practice of reading, writing, speaking, listening and use of English skills Extensive grammar and vocabulary practice Complete practice exam in Unit 10 Designed for independent study at home and practice in class Audio for listening lessons available on the Student's App
The Teacher's Book contains: Teaching notes with additional classroom ideas, including for mixed ability classes and fast finishers Exam information, including differences between Student's Book activities and those in the exam Advice on teaching for exams, flipping the classroom, developing students as independent learners, teaching with projects and teaching with readers Advice on what makes a solid answer, a good answer and what acing an answer looks like Photocopiable audio scripts and videoscripts Workbook answer key
