MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03043nam a2200361Ia 4500 |
| 000 - LEADER |
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| fixed length control field |
04182nam a22003975i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
978-3-031-24758-3 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240319120845.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230320s2023 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783031247583 |
| -- |
978-3-031-24758-3 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
5.7 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Hazzan, Orit. |
| 9 (RLIN) |
30771 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Guide to Teaching Data Science |
| Statement of responsibility, etc. |
by Orit Hazzan, Koby Mike. |
| Medium |
[electronic resource] : |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st ed. 2023. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cham |
| Name of publisher, distributor, etc. |
Springer International Publishing |
| Date of publication, distribution, etc. |
2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XXVII, 321 p. 43 illus., 30 illus. in color. |
| Other physical details |
online resource. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Algorithms. |
| 9 (RLIN) |
30772 |
|
|---|
| Topical term or geographic name entry element |
Algorithms. |
| 9 (RLIN) |
30772 |
|
|---|
| Topical term or geographic name entry element |
Artificial intelligence |
| 9 (RLIN) |
30773 |
|
|---|
| Topical term or geographic name entry element |
Computers and Education. |
| 9 (RLIN) |
30774 |
|
|---|
| Topical term or geographic name entry element |
Data Analysis and Big Data. |
| 9 (RLIN) |
30775 |
|
|---|
| Topical term or geographic name entry element |
Data Science. |
| 9 (RLIN) |
30776 |
|
|---|
| Topical term or geographic name entry element |
Didactics and Teaching Methodology. |
| 9 (RLIN) |
30777 |
|
|---|
| Topical term or geographic name entry element |
Education |
| 9 (RLIN) |
30778 |
|
|---|
| Topical term or geographic name entry element |
Quantitative research. |
| 9 (RLIN) |
30779 |
|
|---|
| Topical term or geographic name entry element |
Teaching. |
| 9 (RLIN) |
30780 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mike, Koby. |
| 9 (RLIN) |
30781 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-3-031-24758-3">https://doi.org/10.1007/978-3-031-24758-3</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
e-Book |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
