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Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
Neuro-Symbolic Artificial Intelligence, 2017The study and understanding of human behaviour is relevant to computer science, artificial intelligence, neural computation, cognitive science, philosophy, psychology, and several other areas.
Tarek R. Besold +13 more
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The teaching of assembly language to computer science and computer engineering majors
ACM SIGCSE Bulletin, 1984Progress in the fields of computer science and computer engineering has put considerable strain on academic departments to keep the curricula abreast of the "state of the art." This is a constant demand to modernize courses and programs. This usually takes the form of continually adding new courses, and including new material in existing courses.Our ...
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WikiBrain: Democratizing computation on Wikipedia
International Symposium on Open Collaboration, 2014Wikipedia is known for serving humans' informational needs. Over the past decade, the encyclopedic knowledge encoded in Wikipedia has also powerfully served computer systems.
Shilad Sen +3 more
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Questions on Spoken Language and Terminology for Teaching Computer Science
Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, 2015Spoken and written language are key factors for communication, especially for teaching and learning in general and for all subjects. In K-12 schools, 'being fluent with information technology', 'CS fluency and competency', 'computer literacy' and 'computational literacy' are terms for learning objectives of ICT, computer science courses that refer to ...
Ira Diethelm, Juliana Goschler
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Automata, formal languages abstract switching, and computability in a Ph.D. computer science program
Communications of the ACM, 1968A number of courses are listed in the area described as automata, formal languages, abstract switching, and computability, that might be available to a Ph.D. student in computer science. A brief catalog description of each course is supplied and the role of each of the courses in the graduate program is discussed.
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Language Choice and Key Concepts in Introductory Computer Science Courses
Journal of Research on Computing in Education, 1998AbstractBecause computer science is a complex and rapidly evolving discipline, educators at all levels have been required to revise their curricula as new paradigms and tools emerge. Since 1968, there have been three major computer science curriculum documents for the first course at the college/university level (CS1), and recent research shows no ...
Chris Stephenson, Tom West
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Technical Symposium on Computer Science Education
There is both great hope and concern about the future of Computer Science practice and education concerning the recent advent of large language models (LLMs).
Nero Li +8 more
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There is both great hope and concern about the future of Computer Science practice and education concerning the recent advent of large language models (LLMs).
Nero Li +8 more
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Language, Mind, and Computation in the Metaphors of Cognitive Science
2023Is the meaning of the text accessible to machine learning algorithms? With the success of computer science, such questions are turning from philosophical into scientific and theoretical. Mind, behavior, and the machine have been conceptualized differently at different times and in different research programs.
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Metaphor-Laced Language of Computer Science and Receptor Community Users
Journal of Technical Writing and Communication, 2013It is a well-attested fact among the academia that the terminology and discourse of computer science is pervaded with metaphors. Yet, almost all the studies on metaphor application in computer science have approached the issue of the metaphor use and its influence on the user-computer interaction from an intralingual stance leaving the field of ...
Abbas Mehrpooya, Negar Nowroozzadeh
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Real-Time Network Intrusion Detection System Based on Deep Learning
2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS), 2019Computer network is vulnerable to hackers, computer viruses, and other malicious attacks. As an active defense technology, intrusion detection plays an important role in the field of network security.
Yuansheng Dong, Rong Wang, Juan He
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