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The teaching-learning process of Statistics for Computer Science

Über The teaching-learning process of Statistics for Computer Science

Due to the emergence of the information and knowledge society - characterised by the increasing use of Information and Communication Technologies (ICT) and the management of large volumes of information -, where the main source of production, power and wealth is information, computer science has emerged as the science responsible for studying the automatic processing of information. The subject of Statistics within the syllabus of the Computer Engineering degree is important because those who master this content will be professionals who are characterised by avoiding subjective speculation and providing solutions based on data, having clarity about the processes of data generation, synthesising information from large volumes of data. Achieving statistical thinking in students is a complex task, which, due to its importance, begins in primary, secondary and pre-university education and continues in university education.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9786206555636
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 52
  • Veröffentlicht:
  • 13. Oktober 2023
  • Abmessungen:
  • 150x4x220 mm.
  • Gewicht:
  • 96 g.
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Beschreibung von The teaching-learning process of Statistics for Computer Science

Due to the emergence of the information and knowledge society - characterised by the increasing use of Information and Communication Technologies (ICT) and the management of large volumes of information -, where the main source of production, power and wealth is information, computer science has emerged as the science responsible for studying the automatic processing of information. The subject of Statistics within the syllabus of the Computer Engineering degree is important because those who master this content will be professionals who are characterised by avoiding subjective speculation and providing solutions based on data, having clarity about the processes of data generation, synthesising information from large volumes of data. Achieving statistical thinking in students is a complex task, which, due to its importance, begins in primary, secondary and pre-university education and continues in university education.

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