KMU 476

PROCESS OPTIMIZATION

Lecture:

Thursday     10:00-12:50     D4

Course objective:

• Be able to use economics to derive an objective function.
• Be able to use principles of engineering to develop equality and inequality constraints.
• Be familiar with the preferred software packages and optimization techniques to solve linear programming and nonlinear programming problems
• Learn about applications of optimization for optimizing important industrial processes.

Learning outcomes:

• An ability to apply knowledge of mathematics, science and engineering
• An ability to design a system, component, or process to meet desired needs
• An ability to identify, formulate, and solve engineering problems
• The broad education necessary to understand the impact of engineering solutions in a global and societal context
• Recognition of the need for, and an ability to engage in lifelong learning
• Knowledge of contemporary issues
• Ability to use the techniques, skills, and modern engineering tools necessary for engineering practice

Text-book:

•  T.F. Edgar and D.M. Himmelblau, Optimization of Chemical Processes, McGraw Hill