SYSEN 5211

Last Updated

  • Schedule of Classes - January 5, 2026 3:59PM EST

SYSEN 5211
Quantitative Methods for Systems Analysis

Course information provided by the 2025-2026 Catalog.

This course will cover quantitative methods for analyzing and solving complex problems. Students will learn both classical and advanced methods, including linear and nonlinear programming, integer programming, heuristic algorithms, simulation, and multi-objective optimization. The course will also cover data-driven optimization to integrate uncertainty in decision-making. This leverages data analytics to enhance the accuracy and reliability of parameter estimation in optimization models. Through a combination of theoretical instruction and hands-on case studies, students will gain the skills to model, analyze, and solve optimization problems in various domains. Emphasis is placed on problem formulation, computational efficiency, and practical implementation using industry-standard tools.


Enrollment Priority Priority given to: Systems Engineering M.Eng. students.

Last 1 Terms Offered (None)

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Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Graded

  •  9661 SYSEN 5211   LEC 001

  •  
    • TR Upson Hall 102
    • Jan 20 - May 5, 2026

    • Sy, C

  • Instruction Mode: In Person

    Enrollment limited to: Systems Engineering On-Campus Students.

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Graded

  •  9662 SYSEN 5211   LEC 002

  •  

  • Instruction Mode: Distance Learning-Asynchronous

    Enrollment limited to: Systems Engineering Distance Learning Students.