Data science is a new field that touches on almost every domain of our lives, and thus it is taught in a variety of environments. Accordingly, the book is suitable for teachers and lecturers in all educational frameworks: K-12, academia and industry. This book aims at closing a significant gap in the literature on the pedagogy of data science. While there are many articles and white papers dealing with the curriculum of data science (i.e., what to teach?), the pedagogical aspect of the field (i.e., how to teach?) is almost neglected. At the same time, the importance of the pedagogical aspects of data science increases as more and more programs are currently open to a variety of people. This book provides a variety of pedagogical discussions and specific teaching methods and frameworks, as well as includes exercises, and guidelines related to many data science concepts (e.g., data thinking and the data science workflow), main machine learning algorithms and concepts (e.g., KNN, SVM, Neural Networks, performance metrics, confusion matrix, and biases) and data science professional topics (e.g., ethics, skills and research approach). Professor Orit Hazzan is a faculty member at the Technion’s Department of Education in Science and Technology since October 2000. Her research focuses on computer science, software engineering and data science education. Within this framework, she studies the cognitive and social processes on the individual, the team and the organization levels, in all kinds of organizations. Dr. Koby Mike is a Ph.D. graduate from the Technion's Department of Education in Science and Technology under the supervision of Professor Orit Hazzan. He continued his post-doc research on data science education at the Bar-Ilan University, and obtained a B.Sc. and an M.Sc. in Electrical Engineering from Tel Aviv University.
Overview and Goals The agile approach for software development has been applied more and more extensively since the mid nineties of the 20th century. Though there are only about ten years of accumulated experience using the agile approach, it is currently conceived as one of the mainstream approaches for software development. This book presents a complete software engineering course from the agile angle. Our intention is to present the agile approach in a holistic and compreh- sive learning environment that fits both industry and academia and inspires the spirit of agile software development. Agile software engineering is reviewed in this book through the following three perspectives: l The Human perspective, which includes cognitive and social aspects, and refers to learning and interpersonal processes between teammates, customers, and management. l The Organizational perspective, which includes managerial and cultural aspects, and refers to software project management and control. l The Technological perspective, which includes practical and technical aspects, and refers to design, testing, and coding, as well as to integration, delivery, and maintenance of software products. Specifically, we explain and analyze how the explicit attention that agile software development gives these perspectives and their interconnections, helps viii Preface it cope with the challenges of software projects. This multifaceted perspective on software development processes is reflected in this book, among other ways, by the chapter titles, which specify dimensions of software development projects such as quality, time, abstraction, and management, rather than specific project stages, phases, or practices.
This Brief presents a new model for business development—MERge—to be implemented in practitioners’ professional development in general and in the context of STEM (Science, Technology, Engineering and Mathematics) initiatives, particularly, in industry, educational institutions and public sector organizations. The authors aim to contribute to the field of innovation and entrepreneurship by merging and consolidating different methodologies and insights borrowed from the "meta-professions" (referring to skills that can be expressed meaningfully after one has gained disciplinary and professional knowledge) of management, education, and research. Targeting three key groups—practitioners in industry, academic institutions and public sector organizations—this model proposes that all practitioners can further develop their unique expertise, as well as new skills, while acknowledging and applying the three meta-professions in their initiatives, on-going work and personal lives. The authors acknowledge that in the postmodern era, where barriers between disciplines are falling in every aspect of professional life, managerial, educational and research skills are becoming increasingly essential and interdependent. Featuring case studies that illustrate how the MERge model is implemented in practice, this volume presents practical tools for integrating these key skills in a wide variety of initiatives in business, teaching and research contexts.
The message conveyed in this work is that agility can be implemented anywhere. Accordingly, ten guidelines are presented for the adoption of agility to enable us to cope with changes in our lives, in our teams, and in our organizations. Since the authors advocate agility, the content is presented in the form of concise standalone chapters, allowing the reader to focus on the specific topic they wish to adopt in order to become agile.
This work illustrates how risk management can be applied to educational systems in general, and STEM (Science, Technology, Engineering and Mathematics) education in particular. The rationale for this approach stems from the increased awareness of the importance and contribution of STEM education to nations’ economic growth and development. The coverage begins with the challenges of STEM education systems, and concludes with a thorough strategic risk response plan. The text outlines a risk-management plan/program for STEM education in Israel, based on the conceptions of five stakeholders groups: educators, academics, industry professionals, military and philanthropic actors. All of whom have expressed interest in promoting STEM education in the high school/secondary education system. The result, ultimately, presents an impressive, meaningful, and practical understanding of the difficulties and challenges, together with applicable modes of action, and a new horizon towards which STEM Education should march.
This Brief presents a new model for business development—MERge—to be implemented in practitioners’ professional development in general and in the context of STEM (Science, Technology, Engineering and Mathematics) initiatives, particularly, in industry, educational institutions and public sector organizations. The authors aim to contribute to the field of innovation and entrepreneurship by merging and consolidating different methodologies and insights borrowed from the "meta-professions" (referring to skills that can be expressed meaningfully after one has gained disciplinary and professional knowledge) of management, education, and research. Targeting three key groups—practitioners in industry, academic institutions and public sector organizations—this model proposes that all practitioners can further develop their unique expertise, as well as new skills, while acknowledging and applying the three meta-professions in their initiatives, on-going work and personal lives. The authors acknowledge that in the postmodern era, where barriers between disciplines are falling in every aspect of professional life, managerial, educational and research skills are becoming increasingly essential and interdependent. Featuring case studies that illustrate how the MERge model is implemented in practice, this volume presents practical tools for integrating these key skills in a wide variety of initiatives in business, teaching and research contexts.
This textbook presents both a conceptual framework and detailed implementation guidelines for computer science (CS) teaching. Updated with the latest teaching approaches and trends, and expanded with new learning activities, the content of this new edition is clearly written and structured to be applicable to all levels of CS education and for any teaching organization. Features: provides 110 detailed learning activities; reviews curriculum and cross-curriculum topics in CS; explores the benefits of CS education research; describes strategies for cultivating problem-solving skills, for assessing learning processes, and for dealing with pupils’ misunderstandings; proposes active-learning-based classroom teaching methods, including lab-based teaching; discusses various types of questions that a CS instructor or trainer can use for a range of teaching situations; investigates thoroughly issues of lesson planning and course design; examines the first field teaching experiences gained by CS teachers.
Overview and Goals The agile approach for software development has been applied more and more extensively since the mid nineties of the 20th century. Though there are only about ten years of accumulated experience using the agile approach, it is currently conceived as one of the mainstream approaches for software development. This book presents a complete software engineering course from the agile angle. Our intention is to present the agile approach in a holistic and compreh- sive learning environment that fits both industry and academia and inspires the spirit of agile software development. Agile software engineering is reviewed in this book through the following three perspectives: l The Human perspective, which includes cognitive and social aspects, and refers to learning and interpersonal processes between teammates, customers, and management. l The Organizational perspective, which includes managerial and cultural aspects, and refers to software project management and control. l The Technological perspective, which includes practical and technical aspects, and refers to design, testing, and coding, as well as to integration, delivery, and maintenance of software products. Specifically, we explain and analyze how the explicit attention that agile software development gives these perspectives and their interconnections, helps viii Preface it cope with the challenges of software projects. This multifaceted perspective on software development processes is reflected in this book, among other ways, by the chapter titles, which specify dimensions of software development projects such as quality, time, abstraction, and management, rather than specific project stages, phases, or practices.
Data science is a new field that touches on almost every domain of our lives, and thus it is taught in a variety of environments. Accordingly, the book is suitable for teachers and lecturers in all educational frameworks: K-12, academia and industry. This book aims at closing a significant gap in the literature on the pedagogy of data science. While there are many articles and white papers dealing with the curriculum of data science (i.e., what to teach?), the pedagogical aspect of the field (i.e., how to teach?) is almost neglected. At the same time, the importance of the pedagogical aspects of data science increases as more and more programs are currently open to a variety of people. This book provides a variety of pedagogical discussions and specific teaching methods and frameworks, as well as includes exercises, and guidelines related to many data science concepts (e.g., data thinking and the data science workflow), main machine learning algorithms and concepts (e.g., KNN, SVM, Neural Networks, performance metrics, confusion matrix, and biases) and data science professional topics (e.g., ethics, skills and research approach). Professor Orit Hazzan is a faculty member at the Technion’s Department of Education in Science and Technology since October 2000. Her research focuses on computer science, software engineering and data science education. Within this framework, she studies the cognitive and social processes on the individual, the team and the organization levels, in all kinds of organizations. Dr. Koby Mike is a Ph.D. graduate from the Technion's Department of Education in Science and Technology under the supervision of Professor Orit Hazzan. He continued his post-doc research on data science education at the Bar-Ilan University, and obtained a B.Sc. and an M.Sc. in Electrical Engineering from Tel Aviv University.
This work illustrates how risk management can be applied to educational systems in general, and STEM (Science, Technology, Engineering and Mathematics) education in particular. The rationale for this approach stems from the increased awareness of the importance and contribution of STEM education to nations’ economic growth and development. The coverage begins with the challenges of STEM education systems, and concludes with a thorough strategic risk response plan. The text outlines a risk-management plan/program for STEM education in Israel, based on the conceptions of five stakeholders groups: educators, academics, industry professionals, military and philanthropic actors. All of whom have expressed interest in promoting STEM education in the high school/secondary education system. The result, ultimately, presents an impressive, meaningful, and practical understanding of the difficulties and challenges, together with applicable modes of action, and a new horizon towards which STEM Education should march.
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