Separating Algorithmic Thinking and Programming

Download statistics - Document (COUNTER):

Chandoo, M.: Separating Algorithmic Thinking and Programming. In: Desel, J.; Opel, S.; Siegeris, J. (Hrsg.): Tagungsband 9. Fachtagung Hochschuldidaktik Informatik (HDI) 2021. Hagen : FernUniversität Hagen, 2021, S. 109-115

Repository version

To cite the version in the repository, please use this identifier: https://doi.org/10.15488/11335

Selected time period:

year: 
month: 

Sum total of downloads: 813




Thumbnail
Abstract: 
We describe an approach to teaching algorithmic thinking and programming and the first experiences that we made with it in practice. The idea is to present computational problems as a certain kind of game that the learner can play in order for them to develop a concrete idea of what constitutes an algorithm. The purpose of this is to emphasize that one can think of algorithms independently of a particular programming language. For the programming part a mini language called machine programs and a method to construct such programs from traces is described.
License of this version: CC BY-SA 4.0 Unported
Document Type: BookPart
Publishing status: acceptedVersion
Issue Date: 2021
Appears in Collections:Fakultät für Elektrotechnik und Informatik

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 518 63.71%
2 image of flag of United States United States 59 7.26%
3 image of flag of France France 28 3.44%
4 image of flag of United Kingdom United Kingdom 18 2.21%
5 image of flag of Russian Federation Russian Federation 17 2.09%
6 image of flag of Turkey Turkey 16 1.97%
7 image of flag of Czech Republic Czech Republic 14 1.72%
8 image of flag of No geo information available No geo information available 11 1.35%
9 image of flag of Israel Israel 11 1.35%
10 image of flag of India India 10 1.23%
    other countries 111 13.65%

Further download figures and rankings:


Hinweis

Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.

Search the repository


Browse