Basic Information
A Methodology For Technological and Project Optimization That Allows Engineers to Meet Performance, Budget and Schedule Requirements, With A Minimum of Rounds of Changes and Updates. Optimization As The Goal, Defining Optimization, Simplicity, Robustness and Standardization. Development As an Iterative Process. Defining Customer and Value Chain Requirements. Balanced Allocation of Weights to Requirements. Formulating The Optimal Concept. The Simplified Mathematical Model (linear) and The Complete Mathematical Model (non-linear) For The Formulation of The Optimal Concept. Common Sense Considerations And Avoiding "excessive Demands". a Model For Robust Concept Formulation. The Potential to Simplify, Improve Efficiency and Reduce Costs Of Products. Optimal Development Processes and Organizational Culture. The Issue of Uncertainty. The Course Will Include Case Studies From Various Fields# High-tech, Civil Engineering, Automotive, Aviation And Consumer Products. Learning Outcomes# The Academy Teaches Engineering Students Subjects In Engineering Sciences (physics, Mathematics, Computer As Specific Subjects Connected to Their Professional Learning Tendency (mechanics, Aeronauti Computer Science, Industrial Engineering, Etc.) The Academy Does No. Teaches The Students a Methodology For High-quality Technological Engineering and Project Creation in The Various Disciplines, Which Is The Way to Connect All The Knowledge And Building Blocks to a Comparative Method For Creation, Products, Systems, and Projects That Achieve The Goals of Performance, Cost, And Timetable. The Course Overcomes This Gap and By Teaching The Students The Methodology of Technological and Project Optimization, The Course Teaches How to Achieve Major Optimization and Subjects Mathematical And Linear and Nonlinear Models For Optimal Technological and Project Generation. The Course Will Include Examples From Various Disciplines Tech, Civil Engineering, Aviation, and Consumer Products.