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Record Nr. |
UNINA9910682565503321 |
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Autore |
Hazzan Orit <1962-> |
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Titolo |
Guide to Teaching Data Science : An Interdisciplinary Approach / / by Orit Hazzan, Koby Mike |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (xxvii, 321 pages) : illustrations (black and white, and colour) |
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Disciplina |
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Soggetti |
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Artificial intelligence - Data processing |
Teaching |
Quantitative research |
Education - Data processing |
Algorithms |
Data Science |
Didactics and Teaching Methodology |
Data Analysis and Big Data |
Computers and Education |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Part I: Overview of Data Science and Data Science Education -- Chapter 1. Introduction -- Chapter 2. What is data science -- Chapter 3. Introduction to data science education -- Chapter 4. Data science thinking -- Part II: Challenges of Data Science Education -- Chapter 5. The pedagogical challenge of data science education -- Chapter 6. Data science education and the variety of learners -- Chapter 7. The interdisciplinarity challenge -- Chapter 8. Data science skills -- Part III: Data science Teaching frameworks -- Chapter 9. Teacher Preparation - the Method for Teaching Data Science course -- Chapter 10. Data Science for Social Science -- Chapter 11. Conclusion. |
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Sommario/riassunto |
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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, |
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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. |
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2. |
Record Nr. |
UNINA9910972654203321 |
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Autore |
Humphries Reynold |
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Titolo |
Hollywood's blacklists : a political and cultural history / / Reynold Humphries |
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Pubbl/distr/stampa |
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Edinburgh, : Edinburgh University Press, 2008 |
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ISBN |
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0-7486-5115-2 |
1-281-94770-9 |
9786611947705 |
0-7486-3052-X |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (193 p.) |
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Disciplina |
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Soggetti |
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Motion picture industry - United States |
Blacklisting of entertainers - United States |
Blacklisting of authors - United States |
Communism - United States |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. [164]-173) and index. |
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Nota di contenuto |
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COVER; COPYRIGHT; Contents; Acknowledgements; The Background; PART I Drawing up the Battle Lines; Introduction; 1 Hollywood and the Union Question; 2 The War Years, 1939-1945; 3 Hollywood Strikes, the Right Strikes Back; PART II From the Hot War to the Cold; 4 The Hearings of 1947; 5 None Shall Escape: The Hearings of 1951-1953; 6 The Anti-Communist Crusade on the Screen; Conclusion; Archival Sources; Bibliography; Index |
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Sommario/riassunto |
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Are you now or have you ever been a member of the Communist Party?' That question was to be repeated endlessly during the anti-Communist investigations carried out by the House Committee on un-American Activities (HUAC) in the early 1950's. The refusal of ten members of the film industry to answer the question in 1947 led to the decision by studio bosses to fire them and never to hire known Communists in the future. The Hearings led to scores of actors, writers and directors being named as Communists or sympathisers. All were blacklisted and fired. Hollywood's Blacklists is a history of the pol |
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