Course Description
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Course Name
Design Optimization
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Host University
Universidad EAFIT
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Location
Medellín, Colombia
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Area of Study
Design, Engineering Science and Math, Industrial Engineering
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Language Level
Taught In English
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Contact Hours
16 -
Recommended U.S. Semester Credits3
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Recommended U.S. Quarter Units1
Hours & Credits
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Overview
2. JUSTIFICATION OF THE COURSE
Limited resources and cost reduction is major goal in today's industry. Design optimization gives the student the necessary mathematical tools to achieve these purposes. Independent Study. Partnership Ruhr Universitaet Bochum, Germany. Limited resources and cost reduction is major goal in today's industry. Design optimization gives the student the necessary mathematical tools to achieve these
purposes. Independent Study. Partnership Ruhr Universitaet Bochum, Germany.3. PURPOSE OR OVERALL OBJECTIVE
3.1. To solve and evaluate optimization problems for complex technical systems. To solve and evaluate optimization problems for complex technical systems.
3.2. To increase the social skills that are necessary to successfully complete a team project. To increase the social skills that are necessary to successfully complete a team project.
3.3. To transfer theoretical knowledge gained from the lecture into practical solutions solved with software. To transfer theoretical knowledge gained from the lecture into practical solutions solved with software.
4. BASIC SKILLS THE STUDENT WILL BE ABLE TO ACHIEVE5. ANALYTICAL DESCRIPTION OF CONTENTS: THEMES AND SUBTHEMES
5.1. Numerical approaches, Linear optimization, Convex domains, partitioned domains Numerical approaches, Linear optimization, Convex domains, partitioned domains.
5.2. Explicit design variables, synthesis and analysis, discrete and continuous variables, shape variables. Explicit design variables, synthesis and analysis, discrete and continuous variables, shape variables.
5.3. Direct and indirect methods, Gradients, Hessian matrix, Kuhn-Trucker conditions. Direct and indirect methods, Gradients, Hessian matrix, Kuhn-Trucker conditions.6. DIDACTIC STRATEGIES AND METHODOLOGIES
7. RESOURCES
8. CRITERIA AND POLICIES OF MONITORING AND ACADEMIC EVALUATION
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