ENGRI 1101

ENGRI 1101

Course information provided by the Courses of Study 2024-2025.

Introduction to the problems and methods of operations research and information engineering focusing on problem areas (including inventory, network design, and resource allocation), the situations in which these problems arise, and several standard solution techniques. In the computational laboratory, students encounter problem simulations and use some standard commercial software packages.

When Offered Fall, Spring, Summer.

Permission Note Not open to: ORIE upper-level majors.

Outcomes
  • Understand the breadth of quantitative decision situations that arise in engineering, industry, and society.
  • Develop the skills needed for mathematical modeling of real-world decision situations.
  • Learn fundamental algorithms used to solve such models and the basic mathematical techniques of validating the accuracy and efficiency of these solution methods.
  • Build familiarity with current software used in the computational analysis of these models.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory.

  • 3 Credits Opt NoAud

  •  6855 ENGRI 1101   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Dietrich, B

  • Instruction Mode: In Person
    Enrollment limited to: non-Operations Research and Engineering students.

  •  7604 ENGRI 1101   LEC 002

    • TR
    • Jan 21 - May 6, 2025
    • Dietrich, B

  • Instruction Mode: In Person
    Enrollment limited to: non-Operations Research and Engineering students.

  •  8758 ENGRI 1101   LAB 401

    • R
    • Jan 21 - May 6, 2025
    • Dietrich, B

  • Instruction Mode: In Person

  •  8759 ENGRI 1101   LAB 402

    • F
    • Jan 21 - May 6, 2025
    • Dietrich, B

  • Instruction Mode: In Person

  •  8760 ENGRI 1101   LAB 403

    • F
    • Jan 21 - May 6, 2025
    • Dietrich, B

  • Instruction Mode: In Person

  •  8761 ENGRI 1101   LAB 404

    • F
    • Jan 21 - May 6, 2025
    • Dietrich, B

  • Instruction Mode: In Person

  •  8762 ENGRI 1101   LAB 405

    • R
    • Jan 21 - May 6, 2025
    • Dietrich, B

  • Instruction Mode: In Person