Computer Science and Education. Computer Science and Technology
18th International Conference, ICCSE 2023, Sepang, Malaysia, December 1-7, 2023, Proceedings, Part I
Published on 26. February 2024
Book
Paperback/Softback
XXVI, 499 pages
978-981-97-0729-4 (ISBN)
Description
This three-volume set constitues selected papers presented at the 18th International Conference on Computer Science and Education, ICCSE 2023, held in Sepang, Malaysia, in December 2023.
The 106 full papers and 36 short papers presented were thoroughly reviewed and selected from the 305 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.
The 106 full papers and 36 short papers presented were thoroughly reviewed and selected from the 305 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.
More details
Series
Edition
2024 ed.
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
58 s/w Abbildungen, 156 farbige Abbildungen
XXVI, 499 p. 214 illus., 156 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 29 mm
Weight
791 gr
ISBN-13
978-981-97-0729-4 (9789819707294)
DOI
10.1007/978-981-97-0730-0
Schweitzer Classification
Other editions
Additional editions
Wenxing Hong | Geetha Kanaparan
Computer Science and Education. Computer Science and Technology
18th International Conference, ICCSE 2023, Sepang, Malaysia, December 1-7, 2023, Proceedings, Part I
E-Book
02/2024
Springer
€96.29
Available for download
Content
Computer science and data science.- machine learning and its applications.- large language model.- data mining in social science.