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INDENG174

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INDENG 174 - Simulation for Enterprise-Scale Systems

Industrial Engineering and Operations Research Undergraduate COE - College of Engineering

Subject

INDENG

Course Number

174

Department

Industrial Engineering and Operations Research

Course Level

Undergraduate

Course Title

Simulation for Enterprise-Scale Systems

Course Description

Introductory course on design, programming, and statistical analysis of simulation methods and tools for enterprise-scale systems such as traffic and computer networks, health-care and financial systems, and factories. Topics include the types of problems that can be solved by such methods. Programming material includes the theory behind random variable generation for a variety of common variables. Advanced techniques such as variance reduction, simulation optimization, or meta-modeling are considered. Student teams implement an enterprise-scale simulation in a semester-length design project.

Minimum Units

3

Maximum Units

3

Grading Basis

Default Letter Grade; P/NP Option

Method of Assessment

Alternative Final Assessment

Instructors

Zheng

Prerequisites

IEOR 165; IEOR 173; IEOR 172 or Statistics 134

Repeat Rules

Course is not repeatable for credit.

Course Objectives

• Introduce students to modern techniques for developing computer simulations of stochastic discrete-event models and experimenting with such models to better design and operate dynamic systems. • Teach strengths and weaknesses of different approaches for a foundation for selecting methodologies. • Teach students how to model random processes and experiment with simulated systems. • Insure students become familiar with the fundamental similarities and differences among simulation software packages. • Introduce the different technologies used to develop simulation models and simulator products in order to become critical consumers of simulation study results. • Have students communicate their ideas and solutions effectively in written reports. • Exposure students to state-of-art advanced simulation techniques. • Note: the course is a mixture of modeling art, analytical science, and computational technology.

Formats

Lecture, Discussion

Term

Fall and Spring

Weeks

15 weeks

Weeks

15

Lecture Hours

2

Lecture Hours Min

2

Lecture Hours Max

2

Discussion Hours

1

Discussion Hours Min

1

Discussion Hours Max

1

Outside Work Hours

6

Outside Work Hours Min

6

Outside Work Hours Max

6