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ENGS 103 - Operations Research

Description

This course provides an overview of a broad range of deterministic and probabilistic operations research models with a focus on engineering applications. Emphasis is on developing strong formulations, understanding key solution concepts, developing efficient algorithms, and grasping the advantages and limitations of each approach. After a brief overview of linear and discrete optimization models, the course covers four main types of techniques: network models, queuing theory, discrete events simulation and game theoretic analysis. Various network models and the corresponding solution algorithms are discussed. Key results and applications of queuing models are presented. Uncertainty associated with real-world modeling is captured through simulation techniques with specific emphasis on discrete events simulation. Equilibrium modeling concepts for strategic form games and extensive form games are introduced as extensions of the core optimization concepts. Application examples are drawn from aerospace, biomedical, civil, computer, electrical, industrial, mechanical, and systems engineering.

Prerequisites

ENGS 93 or equivalent

Offered

Term
Time
Location / Method
Instructor(s)
Term: Spring 2023
Time: Arrange
Location:
Instructors:

Vikrant S. Vaze


Term: Spring 2022
Time: Arrange
Location:
Instructors:

Vikrant S. Vaze


Term: Spring 2021
Time: W/F 1:00-2:50
Location:

Remote with synchronous components

Instructors:

Vikrant S. Vaze