Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Bryn Jeffries"'
In recent years we have explored using Haskell alongside a traditional mathematical formalism in our large-enrolment university course on topics including logic and formal languages, aiming to offer our students a programming perspective on these mat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df13e4282f6a7a8070431c51b1d5a0cd
http://arxiv.org/abs/2208.04699
http://arxiv.org/abs/2208.04699
Publikováno v:
Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75a2a90c00c7ce464aba7a24d5480032
https://doi.org/10.1145/3502718.3524814
https://doi.org/10.1145/3502718.3524814
Publikováno v:
Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5318b4b236c553257200313e40a70089
https://doi.org/10.1145/3502718.3524809
https://doi.org/10.1145/3502718.3524809
Publikováno v:
Proceedings of the VLDB Endowment. 13:2989-2992
The SQL query language is the 'lingua franca' of transactional databases, and is essential for scalable data analytics. Learning SQL requires practical exercises with databases, including those parts of SQL with side-effects such as DDL statements, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a303aea52daf39faa69e10c78058567a
https://doi.org/10.14778/3415478.3415526
https://doi.org/10.14778/3415478.3415526
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031059803
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dbcd1dfb1338dad8e3c57cc2403811e
https://doi.org/10.1007/978-3-031-05981-0_25
https://doi.org/10.1007/978-3-031-05981-0_25
Publikováno v:
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium ISBN: 9783031116469
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d624dcaeec86872329c1e6216bba004e
https://doi.org/10.1007/978-3-031-11647-6_112
https://doi.org/10.1007/978-3-031-11647-6_112
Due to the Covid-19 pandemic, universities were required to shift teaching online in 2020, including exams. This rapid move required many changes and compromises to be made in order for students to take their exams remotely. We report on the experien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bcf211c3518807e8de6ddb7205c6198
https://hdl.handle.net/2123/29120
https://hdl.handle.net/2123/29120
Publikováno v:
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium ISBN: 9783031116469
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::863ce0b7ded9ad90865c0fa7de8eed16
https://doi.org/10.1007/978-3-031-11647-6_124
https://doi.org/10.1007/978-3-031-11647-6_124
Publikováno v:
ACE
Digital learning environments are emerging as a key part of the future of computer science education. However, there is little empirical understanding of what forms of didactic feedback are pedagogically optimal for short- and long-term learning outc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92a96bad33ee144a98be10727aff5db9
https://doi.org/10.1145/3441636.3442321
https://doi.org/10.1145/3441636.3442321
Publikováno v:
IJCNN
Obstructive sleep apnea is a breathing disorder affecting 2-4% of the adult population. It is characterized by periods of reduced breathing (hypopnea) or no breathing (apnea). Several machine learning algorithms have been proposed to automatically cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::966c036fb113c46f6f3643f18861be42
https://doi.org/10.1109/ijcnn48605.2020.9207345
https://doi.org/10.1109/ijcnn48605.2020.9207345