Results 11 to 20 of about 11,711 (243)

Introduction To Computer Science - Java Programming Language: Lab manual

open access: green, 2017
Lab Manual for Introduction To Computer Science (Course Code: L01Y) Software and Application Development Sector Java programming language Democritus University of Thrace, department of Electrical and Computer ...
Eleftheria Katsiri, Alexandros Gazis
openalex   +2 more sources

Introductory Computer Science Course by Adopting Many Programming Languages

open access: bronzeAnais do XXXII Simpósio Brasileiro de Informática na Educação (SBIE 2021), 2021
Teaching programming logic by means of a single Programming Language (PL) may lead the whole process to a particular syntax and specific libraries. In order to let every student choose their preferred PL we have developed a method that includes didactic material in many PLs by means of notebooks in Colab.
Francisco de Assis Zampirolli   +5 more
openalex   +3 more sources

Machine language programming in an undergraduate computer science curriculum [PDF]

open access: bronzeACM SIGCSE Bulletin, 1977
This paper examines the advantages and disadvantages of teaching machine language programming to computer science undergraduate students. A teaching language based on reverse Polish notation, but with high-level control constructs, is presented as an alternative to conventional assembly language. Experiences with using this language are described.
Ian Sommerville
openalex   +2 more sources

THE MAIN DIFFERENCE OF MODERN PROGRAMMING LANGUAGES IN COMPUTER SCIENCE

open access: green, 2023
In this article, I will highlight the difference between compiled and interpreted languages.
T.Tolibov N.Amonova
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Invitation to Ezhil: A Tamil Programming Language for Early Computer-Science Education [PDF]

open access: green, 2013
Ezhil is a Tamil programming language with support for imperative programming, with mixed use of Tamil and English identifiers and function-names. Ezhil programing system is targeted toward the K-12 (junior high-school) level Tamil speaking students, as an early introduction to thinking like a computer-scientist. We believe this 'numeracy' knowledge is
Muthiah Annamalai
openalex   +3 more sources

Programming languages in the computer science curriculum [PDF]

open access: bronzeProceedings of the twenty-third SIGCSE technical symposium on Computer science education, 1992
Daniel D. McCracken
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The Use of Computer‐based Programming Environments as Computer Modelling Tools in Early Science Education: The cases of textual and graphical program languages [PDF]

open access: greenInternational Journal of Science Education, 2007
This is an interpretive case study seeking to develop detailed and comparative descriptions of how two groups of fifth grade students used two different Computer-Based Programming Environments (CPEs) (namely Microworlds Logo and Stagecast Creator) during scientific modelling.
Loucas Τ. Louca, Zacharias C. Zacharia
openalex   +6 more sources

A Comparative Analysis of Programming Language Preferences Among Computer Science and Non-Computer Science Students

open access: diamondEuropean Journal of Theoretical and Applied Sciences
In the face of the growing importance of programming skills across various fields, understanding student preferences for programming languages becomes crucial. This study delves into this very topic, examining which languages resonate most with computer science majors and students from non-computer science backgrounds.
Md Tohidul Islam   +6 more
openalex   +3 more sources

Python: The Most Advanced Programming Language for Computer Science Applications

open access: goldProceedings of the International Conference on Culture Heritage, Education, Sustainable Tourism, and Innovation Technologies, 2020
Akshit J Dhruv   +2 more
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A Computational Science Agenda for Programming Language Research [PDF]

open access: yesProcedia Computer Science, 2014
AbstractScientific models are often expressed as large and complicated programs. These programs embody numerous assumptions made by the developer (e.g., for differential equations, the discretization strategy and resolution). The complexity and pervasiveness of these assumptionsmeans that often the only true description of the model is the software ...
Orchard, Dominic, Rice, Andrew
openaire   +1 more source

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