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IND 600

Systems Modeling and Simulation

Simulation models of systems in terms of procedural behaviours, both discrete and continuous, deterministic and stochastic, with an emphasis on stochastic, dynamic simulation models will be studied. These include formulating and implementing simulation models, verification and validation of models, analysis of input and output data, statistical techniques for comparing alternative systems. Computer simulation languages and simulators will be introduced.
Weekly Contact: Lab:2 hrs. Lecture:3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1

Prerequisites

MEC 325 and IND 508

Antirequisites

None

Co-Requisites

None

Custom Requisites

None

Mentioned in the Following Calendar Pages

*List may not include courses that are on a common table shared between programs.

Industrial Engineering

  • IND 108
    Data Analytics for Non-Data Analysts
  • IND 110
    Data Organization for Data Analysts
  • IND 119
    Introduction to Big Data
  • IND 123
    Data Analytics: Basic Methods
  • IND 300
    Introduction to Management
  • IND 303
    Work Measurement, Analysis and Design
  • IND 400
    Facilities Design
  • IND 405
    Introduction to Data Science and Analytics
  • IND 508
    Operations Research I
  • IND 600
    Systems Modeling and Simulation
  • IND 604
    Operations Research II
  • IND 605
    Experimental Design and Quality Assurance
  • IND 708
    Information Systems
  • IND 70A/B
    Industrial Systems Design
  • IND 710
    Production and Inventory Systems
  • IND 712
    Industrial Ergonomics
  • IND 713
    Project Management
  • IND 719
    Big Data Analytics Tools
  • IND 810
    Flexible Manufacturing Systems
  • IND 816
    Service Operations Management
  • IND 832
    Reliability and Decision Analysis
  • IND 833
    Financial Engineering