Oct 01, 2023  
2021-2022 Undergraduate Academic Catalog 
2021-2022 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 2314  or MA 231 )
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
  • Graphical solution of linear programming LP problems
  • Applications of LP
  • Computer solutions to LP problems
  • LP sensitivity, duality
  • Transportations & assignments algorithms
  • Network analysis algorithms
  • Inventory control models
  • Introduction to integer and goal programming
  • Dynamic programming and meta-heuristic optimization

Dr. Aaron Armstrong

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