Mar 29, 2024  
2017-2018 Undergraduate Academic Catalog 
    
2017-2018 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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IE 381 - Deterministic Modeling and Optimization

3 lecture hours 0 lab hours 3 credits
Course Description
Modeling requires building a logical or mathematical representation of a system and using the model to assist the decision making process. This course examines modeling techniques for systems in which the variables influencing performance are deterministic (non-random). These techniques include linear programming, transportation and assignment algorithms, inventory models and network analysis. Case studies and computer algorithms are utilized. (prereq: MA 127 , junior standing)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Understand, develop, and apply deterministic (non-random) mathematical models to engineering and operational problems
  • Use these models to assist the decision-making process
  • Develop an understanding of how these methods impact business and industry
  • Use computer software to solve these engineering problems
  • Improve problem solving skills
  • Improve communications skills

Prerequisites by Topic
  • College algebra
  • Mathematical procedures for solving systems of linear equations

Course Topics
  • Introduction to quantitative management (2 classes)
  • Graphical solution of linear programming LP problems (4 classes)
  • Applications of LP (3 classes)
  • Computer solutions to LP problems (2 classes)
  • LP sensitivity, duality (3 classes)
  • Transportations & assignments algorithms (3 classes)
  • Network analysis algorithms (3 classes)
  • Inventory control models (4 classes)
  • Introduction to integer and goal programming (2 classes)
  • Examinations (3 classes)

Coordinator
Aaron Armstrong



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