IND 3810 - Process Modelling and Optimization

3 lecture hours 0 lab hours 3 credits

Course Description
This course will provide an introduction to the modelling and optimization of processes. Upon completion of this course, each student will be able to understand, develop, and apply deterministic (non-random) mathematical models to engineering and operational problems; use these models to assist the decision-making process; determine the optimal and near-optimal solutions to complex problems, and develop an understanding of how these methods impact business and industry; and use computer software to solve these engineering problems. In addition, this class should also assist students in improving their problem-solving skills and their ability to communicate complex topics effectively. (prereq: MTH 1120, MTH 2340) (quarter system prereq: MA 2314)

Course Learning Outcomes
Upon successful completion of this course, the student will be able to:

Understand, develop, and apply deterministic (non-random) mathematical models to engineering and operational problems
Use these models to assist the decision-making process
Use a variety of linear and non-linear optimization methods to solve complex problems
Develop an understanding of how these methods impact business and industry
Use computer software to solve these engineering problems
Improve problem-solving skills

Prerequisites by Topic

Derivatives and integration

Course Topics

Introduction to engineering modelling
Linear programming models
Graphical optimization methods
Manual solution methods
Linear programming sensitivity
Duality
Logistical problem applications
Manufacturing applications
Assignment problems
Network analysis algorithms
Integer programming
Goal programming
Non-linear programming
Meta-heuristic optimization

Coordinator
Dr. Aaron Armstrong

Announcement

The Raider Return

Milwaukee School of Engineering

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IND 3810 - Process Modelling and Optimization