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| MET 50300 - Applied Optimization |
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Credit Hours: 3.00. This course will introduce technology graduate students and senior undergraduates to the basic concepts of optimization methods with particular emphasis on applications in product and process design. Unconstrained nonlinear problems will be presented and solved using steepest descent and conjugate directions. Constrained problems will be solved using exterior penalty functions. Permission of department required. Typically offered Fall Spring.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Technology Department: Mechanical Engineering Tech Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Learning Outcomes: 1. Recognize optimization problems and cast them in standard form. 2. Correctly identify objective functions and constraints. 3. Use commercial software to solve formal optimization problems. 4. Correctly identify global and local optimum solutions. 5. Use basic calculus concepts to calculate design sensitivities. 6. Understand the geometric concept of design space and be able to plot design space for a constrained problem with two design variables. Restrictions: May not be enrolled as the following Classifications: Freshman: 15 - 29 hours Sophomore: 45 - 59 hours Freshman: 0 - 14 hours Sophomore: 30 - 44 hours Prerequisites: GR-MET 50300 Requisities General Requirements: ( Student Attribute: GR May not be taken concurrently. ) or ( Course or Test: MA 22100 Minimum Grade of D- May not be taken concurrently. and Course or Test: MA 22200 Minimum Grade of D- May not be taken concurrently. ) |
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