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Computer Information Systems: Case Studies

Bag om Computer Information Systems: Case Studies

These case studies are part of an on-going curriculum and simulations development project between the College of Saint Scholastica's School of Business and Technology (SBT) and Learning-Games.net (www.learningames.net), and are designed to help students explore the field of information systems analysis through case simulations and role-playing game (RPG) scenarios. In addition, they can be used in combination with a queueing theory model and both continuous, as well as discrete-event simulations. The related RPG scenarios focus on real-life systems found in performance and management information systems. In short, through the case studies presented in this collection, students will explore mission critical computer information systems designed to teach and explore analytic thinking and best practices through operations research modeling methods and solution algorithms.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780984377923
  • Indbinding:
  • Paperback
  • Sideantal:
  • 142
  • Udgivet:
  • 24. maj 2016
  • Størrelse:
  • 216x8x280 mm.
  • Vægt:
  • 345 g.
Leveringstid: 8-11 hverdage
Forventet levering: 5. marts 2025

Beskrivelse af Computer Information Systems: Case Studies

These case studies are part of an on-going curriculum and simulations development project between the College of Saint Scholastica's School of Business and Technology (SBT) and Learning-Games.net (www.learningames.net), and are designed to help students explore the field of information systems analysis through case simulations and role-playing game (RPG) scenarios. In addition, they can be used in combination with a queueing theory model and both continuous, as well as discrete-event simulations. The related RPG scenarios focus on real-life systems found in performance and management information systems. In short, through the case studies presented in this collection, students will explore mission critical computer information systems designed to teach and explore analytic thinking and best practices through operations research modeling methods and solution algorithms.

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