ENGRI 1101

Last Updated

  • Schedule of Classes - October 15, 2026 7:07PM EDT

ENGRI 1101
Engineering Operations: Data Science and Decision Making

Course information provided by the 2026-2027 Catalog.

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.


Enrollment Information Enrollment limited to: first-years and sophomores.

Last 4 Terms Offered 2026FA, 2026SU, 2026SP, 2025FA

Learning 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

  • 13245 ENGRI 1101   LEC 001

  •  
    • TR
    • Jan 25 - May 11, 2027

    • Harlev, A

  • Instruction Mode: In Person

  • 13246 ENGRI 1101   LEC 002

  •  
    • TR
    • Jan 25 - May 11, 2027

    • Harlev, A

  • Instruction Mode: In Person

  • 13247 ENGRI 1101   LAB 401

  •  
    • R
    • Jan 25 - May 11, 2027

    • Harlev, A

  • Instruction Mode: In Person

  • 13248 ENGRI 1101   LAB 402

  •  
    • R
    • Jan 25 - May 11, 2027

    • Harlev, A

  • Instruction Mode: In Person

  • 13249 ENGRI 1101   LAB 403

  •  
    • F
    • Jan 25 - May 11, 2027

    • Harlev, A

  • Instruction Mode: In Person

  • 13250 ENGRI 1101   LAB 404

  •  
    • F
    • Jan 25 - May 11, 2027

    • Harlev, A

  • Instruction Mode: In Person