Course Description

This course discusses concepts and issues in business decision making. It delves into the decision modeling process and its implementation through decision support systems. The students are required to demonstrate knowledge of building decision support systems using spreadsheet and database software.

Required text

W. David Kelton, Randall Sadowski, Deborah Sadowski, Simulation with Arena. Second Edition
Seref, M., Ahuja, R., & Winston, W., Developing Spreadsheet-Based Support Systems, 1st edition, Dynamic Ideas.

Course content

  • Introduction to Decision Support Systems
  • Clustering Analysis
  • Classification and Prediction
  • Simulation Modeling
  • Queuing Analysis
  • Genetic Algorithms

Learning outcomes

  • Describe decision support systems concepts and applications
  • Name key decision modeling techniques
  • Demonstrate ability to work effectively in group assignments and projects.
  • Show respect and appropriate ethical behavior.
  • Demonstrate acceptance of constructive criticism.
  • Use clustering, queuing analysis and discrete event simulation and genetic algorithms in decision analysis
  • Explain major clustering and discrete event simulation modeling techniques
  • Apply clustering, simulation modeling and genetic algorithms to real world problems

Course ID: MIS 502

Credit hours Theory Practical Laboratory Lecture Studio Contact hours Pre-requisite
3 - - - - - - MIS431