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Scott Buck

dblp:175/6476 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computing education
curriculum design
0.412019
Artificial Intelligence Competencies for Data Science Undergraduate Curricula · AAAI 2019
Computing education › STEM education
data science education
0.412019
Artificial Intelligence Competencies for Data Science Undergraduate Curricula · AAAI 2019
Computing education
AI education
0.112019
Artificial Intelligence Competencies for Data Science Undergraduate Curricula · AAAI 2019
YearPublicationVenuePosition
2019 Artificial Intelligence Competencies for Data Science Undergraduate Curricula
abstract
In August 2017, the ACM Education Council initiated a task force to add to the broad, interdisciplinary conversation on data science, with an articulation of the role of computing discipline-specific contributions to this emerging field. Specifically, the task force is seeking to define what the computing contributions are to this new field, in order to provide guidance for computer science or similar departments offering data science programs of study at the undergraduate level. The ACM Data Science Task Force has completed the initial draft of a curricular report. The computing-knowledge areas identified in the report are drawn from across computing disciplines and include several sub-areas of AI. This short paper describes the overall project, highlights AI-relevant areas, and seeks to open a dialog about the AI competencies that are to be considered central to a data science undergraduate curriculum.
Andrea Pohoreckyj Danyluk, Scott Buck
AAAI2
2018 Special Session: Joint Task Force on Cybersecurity Education
abstract
In this special session, members of the Joint Task Force (JTF) on Cybersecurity Education will provide an overview of the CSEC2017 curricular guidelines (finalized in December 2017) and engage session participants in a discussion of the curricular framework and body of knowledge. The session will conclude with an interactive panel discussion on implementing the curricular guidance.
Diana L. Burley, Matt Bishop, Siddharth Kaza, David S. Gibson, Scott Buck, Allen S. Parrish, Herbert J. Mattord
SIGCSE5
2017 ACM Joint Task Force on Cybersecurity Education
abstract
In this special session, members of the ACM Joint Task Force (JTF) on Cybersecurity Education will provide an overview of the task force mission, objectives, and release a draft of the curricular guidelines. After the overview, task force members will engage session participants in the curricular development process and solicit feedback on the draft guidelines.
Diana L. Burley, Matt Bishop, Siddharth Kaza, David S. Gibson, Elizabeth K. Hawthorne, Scott Buck
SIGCSE6
2016 Special Session: ACM Joint Task Force on Cyber Education
abstract
In this special session, members of the ACM Joint Task Force on Cyber Education to Develop Undergraduate Curricular Guidance will provide an overview of the task force mission, objectives, and work plan. After the overview, task force members will engage session participants in the curricular development process.
Diana L. Burley, Matt Bishop, Elizabeth K. Hawthorne, Siddharth Kaza, Scott Buck, Lynn Futcher
SIGCSE5