000			03043nam a2200361Ia 4500
000			04182nam a22003975i 4500
001			978-3-031-24758-3
003			DE-He213
005			20240319120845.0
007			cr nn 008mamaa
008			230320s2023 sz | s |||| 0|eng d
020			_a9783031247583 _9978-3-031-24758-3
082			_a5.7
100			_aHazzan, Orit. _930771
245			_aGuide to Teaching Data Science _cby Orit Hazzan, Koby Mike. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer International Publishing _c2023
300			_aXXVII, 321 p. 43 illus., 30 illus. in color. _bonline resource.
520			_aData 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.
650			_aAlgorithms. _930772
650			_aAlgorithms. _930772
650			_aArtificial intelligence _930773
650			_aComputers and Education. _930774
650			_aData Analysis and Big Data. _930775
650			_aData Science. _930776
650			_aDidactics and Teaching Methodology. _930777
650			_aEducation _930778
650			_aQuantitative research. _930779
650			_aTeaching. _930780
700			_aMike, Koby. _930781
856			_uhttps://doi.org/10.1007/978-3-031-24758-3
942			_cEBK _2ddc
999			_c15158 _d15158