Undergraduate Program
BSIE Goals & Outcomes

  • Students will have a solid foundation in the mathematics of Industrial Engineering and Operations Research (IEOR) models and supporting quantitative methods by
    • having a firm grasp of the mathematical theory necessary to understand and build such models.
  • Students will appreciate the broad applicability of IEOR models in engineering and other contexts by
    • understanding the taxonomy of descriptive, predictive and prescriptive models
    • understanding the need to learn new models and methods as needed to solve new problems
    • acquiring sufficiently broad education in math, science, and engineering disciplines to understand where such models might be used
    • gaining the necessary context to understand and address global problems through exposure to social science and humanities disciplines.
  • Students will be able to formulate an IEOR model of a systems-level problem to support decision-making, with consideration for
    • user-centered design and end-user input
    • available data
    • appropriate choice of modeling and analysis methods
    • model tractability.
  • Students will be able to solve IEOR models that support decision-making by
    • implementing and solving the model using modern software and programming languages
    • designing and implementing solution methodology as needed
    • rigorously and quantitatively analyzing solutions to the model at a depth supported by available data.
  •  Students will be able to critically evaluate IEOR models and solutions by
    • reviewing literature to place the current problem, model and solution in context
    • identifying shortcomings of the analysis
    • assessing the impact of the limitations of the solutions on organizational goals and objectives
    • recognizing the cost/benefit tradeoffs of implementing the proposed solutions.
  • Students will be able to leverage knowledge from Management Sciences to support the implementation of IEOR models and solutions by
    • identifying the impact of proposed solutions on individuals, organizations, markets, networks, and societies
    • clearly communicating recommendations and limitations to end users
    • recognizing the challenges inherent in implementing change in organizations
    • effectively leading and working in teams.

Program Educational Objectives

  • Competently employ broad-based analytical tools and computers for decision-making and system design, analysis, and performance.
  • Assume managerial and leadership roles in their chosen professional careers while working in multidisciplinary teams.
  • Engage in continuous learning by seeking out opportunities for higher education or ongoing training related to their employment.
  • Effectively adapt to the changing demands in the workplace and able to perform increasingly complex tasks, as well as tasks outside a field of expertise.