Author: Alusine M. Kanu Da
Publisher: iUniverse
ISBN: 1462024491
Category : Education
Languages : en
Pages : 364
Book Description
Professor Alusine M. Kanu in Faculty Development Programs: Applications in Teaching and Learning demonstrates instructional competencies of faculty developer, leadership facilitator, organizational developer, media specialist, and academic advisor. This well-thought-out text conducts discussions to promote learning how to learn with methods of study that respect faculties' desires to be experts in specialized disciplinary knowledge and specific teaching skills. The intended audience is anyone wanting to learn about teaching or knowledge transfer and for teaching professionals and those seeking careers in education, communication, or in organizational training and development. Faculty Development Programs: Applications in Teaching and Learning suggests contemporary underlying research and practice on up-to-date influences of education. An array of chapters includes developing multicultural faculty, faculty development, instructional development, organizational development, gender and communication issues, media and new technologies, leadership and development, curriculum development, and academic advising. This book provides students and faculty with positive and productive ways of educational development.
Faculty Development Programs
Author: Alusine M. Kanu Da
Publisher: iUniverse
ISBN: 1462024491
Category : Education
Languages : en
Pages : 364
Book Description
Professor Alusine M. Kanu in Faculty Development Programs: Applications in Teaching and Learning demonstrates instructional competencies of faculty developer, leadership facilitator, organizational developer, media specialist, and academic advisor. This well-thought-out text conducts discussions to promote learning how to learn with methods of study that respect faculties' desires to be experts in specialized disciplinary knowledge and specific teaching skills. The intended audience is anyone wanting to learn about teaching or knowledge transfer and for teaching professionals and those seeking careers in education, communication, or in organizational training and development. Faculty Development Programs: Applications in Teaching and Learning suggests contemporary underlying research and practice on up-to-date influences of education. An array of chapters includes developing multicultural faculty, faculty development, instructional development, organizational development, gender and communication issues, media and new technologies, leadership and development, curriculum development, and academic advising. This book provides students and faculty with positive and productive ways of educational development.
Publisher: iUniverse
ISBN: 1462024491
Category : Education
Languages : en
Pages : 364
Book Description
Professor Alusine M. Kanu in Faculty Development Programs: Applications in Teaching and Learning demonstrates instructional competencies of faculty developer, leadership facilitator, organizational developer, media specialist, and academic advisor. This well-thought-out text conducts discussions to promote learning how to learn with methods of study that respect faculties' desires to be experts in specialized disciplinary knowledge and specific teaching skills. The intended audience is anyone wanting to learn about teaching or knowledge transfer and for teaching professionals and those seeking careers in education, communication, or in organizational training and development. Faculty Development Programs: Applications in Teaching and Learning suggests contemporary underlying research and practice on up-to-date influences of education. An array of chapters includes developing multicultural faculty, faculty development, instructional development, organizational development, gender and communication issues, media and new technologies, leadership and development, curriculum development, and academic advising. This book provides students and faculty with positive and productive ways of educational development.
Big Data For Dummies
Author: Judith S. Hurwitz
Publisher: John Wiley & Sons
ISBN: 1118644174
Category : Computers
Languages : en
Pages : 336
Book Description
Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.
Publisher: John Wiley & Sons
ISBN: 1118644174
Category : Computers
Languages : en
Pages : 336
Book Description
Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.
Data Warehousing and Knowledge Discovery
Author: Alfredo Cuzzocrea
Publisher: Springer Science & Business Media
ISBN: 3642235433
Category : Computers
Languages : en
Pages : 510
Book Description
This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011 held in Toulouse, France in August/September 2011. The 37 revised full papers presented were carefully reviewed and selected from 119 submissions. The papers are organized in topical sections on physical and conceptual data warehouse models, data warehousing design methodologies and tools, data warehouse performance and optimization, pattern mining, matrix-based mining techniques and stream, sensor and time-series mining.
Publisher: Springer Science & Business Media
ISBN: 3642235433
Category : Computers
Languages : en
Pages : 510
Book Description
This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011 held in Toulouse, France in August/September 2011. The 37 revised full papers presented were carefully reviewed and selected from 119 submissions. The papers are organized in topical sections on physical and conceptual data warehouse models, data warehousing design methodologies and tools, data warehouse performance and optimization, pattern mining, matrix-based mining techniques and stream, sensor and time-series mining.
Artificial Intelligence in Medical Imaging
Author: Erik R. Ranschaert
Publisher: Springer
ISBN: 3319948784
Category : Medical
Languages : en
Pages : 369
Book Description
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.
Publisher: Springer
ISBN: 3319948784
Category : Medical
Languages : en
Pages : 369
Book Description
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.
Artificial Intelligence in Healthcare
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Manual of Digital Museum Planning
Author: Ali Hossaini
Publisher: Rowman & Littlefield
ISBN: 1442278978
Category : Business & Economics
Languages : en
Pages : 419
Book Description
The Manual of Digital Museum Planning is a comprehensive guide to digital planning, development, and operations for museum professionals and students of museums studies and arts administration. In the tradition of Lord Cultural Resource’s renowned manuals, this book gives practical advice on how digital can enhance and improve all aspects of the museum. With chapters written by experienced professionals working at leading institutions such as the British Museum, the Metropolitan Museum of Art, the Indianapolis Museum of Art, Bristol Culture, the Canadian Museum for Human Rights, and others, The Manual of Digital Museum Planning is an easy-to-understand, step-by-step guide for anyone planning a new museum, a museum expansion, or a new project in the Digital Age. Part 1 explains how digital technologies are transforming museums and their value proposition Part 2 explores how adopting a user-centric, omnichannel approach creates new relationships between museums and communities Part 3 offers a guide to integrating digital into the workflow of museums- from data analytics, to user experience design to project management Part 4 identifies the business models, infrastructure and skills and competencies for the digital museum, Each chapter culminates in ‘summary takeaways’ for easy recall, and key words are defined throughout. A glossary and reference list are also included as an accessible resources for readers.
Publisher: Rowman & Littlefield
ISBN: 1442278978
Category : Business & Economics
Languages : en
Pages : 419
Book Description
The Manual of Digital Museum Planning is a comprehensive guide to digital planning, development, and operations for museum professionals and students of museums studies and arts administration. In the tradition of Lord Cultural Resource’s renowned manuals, this book gives practical advice on how digital can enhance and improve all aspects of the museum. With chapters written by experienced professionals working at leading institutions such as the British Museum, the Metropolitan Museum of Art, the Indianapolis Museum of Art, Bristol Culture, the Canadian Museum for Human Rights, and others, The Manual of Digital Museum Planning is an easy-to-understand, step-by-step guide for anyone planning a new museum, a museum expansion, or a new project in the Digital Age. Part 1 explains how digital technologies are transforming museums and their value proposition Part 2 explores how adopting a user-centric, omnichannel approach creates new relationships between museums and communities Part 3 offers a guide to integrating digital into the workflow of museums- from data analytics, to user experience design to project management Part 4 identifies the business models, infrastructure and skills and competencies for the digital museum, Each chapter culminates in ‘summary takeaways’ for easy recall, and key words are defined throughout. A glossary and reference list are also included as an accessible resources for readers.
Advances in Knowledge Discovery and Data Mining
Author: Hisashi Kashima
Publisher: Springer Nature
ISBN: 3031333772
Category : Computers
Languages : en
Pages : 563
Book Description
The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023. The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.
Publisher: Springer Nature
ISBN: 3031333772
Category : Computers
Languages : en
Pages : 563
Book Description
The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023. The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.
MITRE Systems Engineering Guide
AI and education
Author: Miao, Fengchun
Publisher: UNESCO Publishing
ISBN: 9231004476
Category : Political Science
Languages : en
Pages : 50
Book Description
Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]
Publisher: UNESCO Publishing
ISBN: 9231004476
Category : Political Science
Languages : en
Pages : 50
Book Description
Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]
Learning in the Synergy of Multiple Disciplines
Author: Ulrike Cress
Publisher: Springer Science & Business Media
ISBN: 3642046355
Category : Education
Languages : en
Pages : 830
Book Description
This book constitutes the refereed proceedings of the 4th European Conference on Technology Enhanced Learning, EC-TEL 2009, held in Nice, France in September/October 2009. The 35 revised full papers, 17 short papers, and 35 posters presented were carefully reviewed and selected from 136 paper submissions and 22 poster submissions. The papers are organized in topical sections on adaptation and personalization, interoperability, semantic Web, Web 2.0., data mining and social networks, collaboration and social knowledge construction, learning communities and communities of practice, learning contexts, problem and project-based learning, inquiry, learning, learning design, motivation, engagement, learning games, and human factors and evaluation.
Publisher: Springer Science & Business Media
ISBN: 3642046355
Category : Education
Languages : en
Pages : 830
Book Description
This book constitutes the refereed proceedings of the 4th European Conference on Technology Enhanced Learning, EC-TEL 2009, held in Nice, France in September/October 2009. The 35 revised full papers, 17 short papers, and 35 posters presented were carefully reviewed and selected from 136 paper submissions and 22 poster submissions. The papers are organized in topical sections on adaptation and personalization, interoperability, semantic Web, Web 2.0., data mining and social networks, collaboration and social knowledge construction, learning communities and communities of practice, learning contexts, problem and project-based learning, inquiry, learning, learning design, motivation, engagement, learning games, and human factors and evaluation.