May 12, 2024  
OHIO University Graduate Catalog 2019-20 
    
OHIO University Graduate Catalog 2019-20 [Archived Catalog]

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EMGT 6200 - Information Systems Engineering


An introduction to applications of information systems industry and the design and implementation of these systems. Students will also learn systems modeling and how to utilize a Rapid Application Development tool to extract needed information from a database.

Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
  • Define the terms computer-based information systems and information technology.
  • Differentiate between data, information, knowledge and wisdom in the context of information systems, and explain how each one is acquired by using these systems.
  • Describe how information needs vary across the hierarchical levels of a company.
  • Explain the differences between Transaction Processing Systems, Enterprise Resource Planning Systems and Management Information Systems.
  • Describe common methods for data communications and explain how they enable the flow of information to support supply chains.
  • Use the concepts of big data, data analytics, data warehouses and dashboards to explain how knowledge based systems support operational decision-making, and create a simple knowledge based system.
  • Discuss issues relevant to data security.
  • Explain how logic-based programming can be used to create knowledge that supports operational decision-making.
  • Develop a logic-based program to determine trending in time series data.
  • Explain the advantages and disadvantages of using a database management system.
  • Use a Rapid Application Development (RAD) tool such as Microsoft Access to manipulate data in a database and display it for various user needs.
  • Describe the capabilities of enterprise-scale database management systems such as Microsoft SQL Server.
  • Explain why existing business processes must be reexamined when a new enterprise data system is adopted.



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