Author: Engelmann
Publisher:
ISBN: 9780076112302
Category :
Languages : en
Pages : 144
Book Description
Corrective Reading Resource Book Decoding B2
Practicing Comprehension Skills: Standardized Test Format
Author: McGraw Hill
Publisher: McGraw-Hill Companies
ISBN: 9780075727866
Category :
Languages : en
Pages : 0
Book Description
Standardized Test Format blackline masters
Publisher: McGraw-Hill Companies
ISBN: 9780075727866
Category :
Languages : en
Pages : 0
Book Description
Standardized Test Format blackline masters
Corrective Reading Comprehension Level B2, Teacher Materials
Author: McGraw Hill
Publisher:
ISBN: 9780026748353
Category :
Languages : en
Pages : 0
Book Description
Levels B1 and B2: Comprehension Skills teach literal and inferential comprehension strategies. Students read for information and learn to retain facts and vocabulary. Teacher Materials include: 1 Teacher Presentation Book 1 Teacher's Guide
Publisher:
ISBN: 9780026748353
Category :
Languages : en
Pages : 0
Book Description
Levels B1 and B2: Comprehension Skills teach literal and inferential comprehension strategies. Students read for information and learn to retain facts and vocabulary. Teacher Materials include: 1 Teacher Presentation Book 1 Teacher's Guide
Corrective Reading Decoding Level B2, Student Book
Author: McGraw-Hill
Publisher: McGraw-Hill Education
ISBN: 9780076112265
Category : Language Arts & Disciplines
Languages : en
Pages : 240
Book Description
Decoding B2. The skills are divided into five principal areas: Word-Attack Skills, Group Reading, Individual Reading Checkouts, Workbook Exercises and Mastery Tests.
Publisher: McGraw-Hill Education
ISBN: 9780076112265
Category : Language Arts & Disciplines
Languages : en
Pages : 240
Book Description
Decoding B2. The skills are divided into five principal areas: Word-Attack Skills, Group Reading, Individual Reading Checkouts, Workbook Exercises and Mastery Tests.
Teacher presentation book
Author: Siegfried Engelmann
Publisher:
ISBN: 9780076112258
Category : Reading
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9780076112258
Category : Reading
Languages : en
Pages :
Book Description
Qualitative Research from Start to Finish, First Edition
Author: Robert K. Yin
Publisher: Guilford Press
ISBN: 1606239783
Category : Education
Languages : en
Pages : 369
Book Description
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.
Publisher: Guilford Press
ISBN: 1606239783
Category : Education
Languages : en
Pages : 369
Book Description
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 Data Science Design Manual
Author: Steven S. Skiena
Publisher: Springer
ISBN: 3319554441
Category : Computers
Languages : en
Pages : 456
Book Description
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
Publisher: Springer
ISBN: 3319554441
Category : Computers
Languages : en
Pages : 456
Book Description
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
A First Course in Bayesian Statistical Methods
Author: Peter D. Hoff
Publisher: Springer Science & Business Media
ISBN: 0387924078
Category : Mathematics
Languages : en
Pages : 270
Book Description
A self-contained introduction to probability, exchangeability and Bayes’ rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
Publisher: Springer Science & Business Media
ISBN: 0387924078
Category : Mathematics
Languages : en
Pages : 270
Book Description
A self-contained introduction to probability, exchangeability and Bayes’ rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
Recent Advances in Technology Research and Education
Author: Dumitru Luca
Publisher: Springer
ISBN: 3319674595
Category : Technology & Engineering
Languages : en
Pages : 352
Book Description
This book presents selected contributions to the 16th International Conference on Global Research and Education Inter-Academia 2017 hosted by Alexandru Ioan Cuza University of Iași, Romania from 25 to 28 September 2017. It is the third volume in the series, following the editions from 2015 and 2016. Fundamental and applied research in natural sciences have led to crucial developments in the ongoing 4th global industrial revolution, in the course of which information technology has become deeply embedded in industrial management, research and innovation – and just as deeply in education and everyday life. Materials science and nanotechnology, plasma and solid state physics, photonics, electrical and electronic engineering, robotics and metrology, signal processing, e-learning, intelligent and soft computing have long since been central research priorities for the Inter-Academia Community (I-AC) – a body comprising 14 universities and research institutes from Japan and Central/East-European countries that agreed, in 2002, to coordinate their research and education programs so as to better address today’s challenges. The book is intended for use in academic, government, and industrial R&D departments as a reference tool in research and technology education. The 42 peer-reviewed papers were written by more than 119 leading scientists from 14 countries, most of them affiliated to the I-AC.
Publisher: Springer
ISBN: 3319674595
Category : Technology & Engineering
Languages : en
Pages : 352
Book Description
This book presents selected contributions to the 16th International Conference on Global Research and Education Inter-Academia 2017 hosted by Alexandru Ioan Cuza University of Iași, Romania from 25 to 28 September 2017. It is the third volume in the series, following the editions from 2015 and 2016. Fundamental and applied research in natural sciences have led to crucial developments in the ongoing 4th global industrial revolution, in the course of which information technology has become deeply embedded in industrial management, research and innovation – and just as deeply in education and everyday life. Materials science and nanotechnology, plasma and solid state physics, photonics, electrical and electronic engineering, robotics and metrology, signal processing, e-learning, intelligent and soft computing have long since been central research priorities for the Inter-Academia Community (I-AC) – a body comprising 14 universities and research institutes from Japan and Central/East-European countries that agreed, in 2002, to coordinate their research and education programs so as to better address today’s challenges. The book is intended for use in academic, government, and industrial R&D departments as a reference tool in research and technology education. The 42 peer-reviewed papers were written by more than 119 leading scientists from 14 countries, most of them affiliated to the I-AC.
Corrective Reading Decoding Level A, Workbook
Author: Siegfried Engelmann
Publisher: McGraw-Hill Education
ISBN: 9780076112067
Category : Language Arts & Disciplines
Languages : en
Pages : 144
Book Description
In Decoding A, the skills are divided into four principal areas: Word-Attack Skills, Workbook Exercises, support activities, and Checkouts and Mastery Tests.
Publisher: McGraw-Hill Education
ISBN: 9780076112067
Category : Language Arts & Disciplines
Languages : en
Pages : 144
Book Description
In Decoding A, the skills are divided into four principal areas: Word-Attack Skills, Workbook Exercises, support activities, and Checkouts and Mastery Tests.