Inventive Engineering: Knowledge and Skills for Creative Engineers
By: Tomasz Arciszewski (author)Paperback
Inventive Engineering is an emerging engineering science focused on the conceptual designing processes whereby creative designs are developed. Its core concepts are too often unknown and even surprising, but they are also feasible and can be learned, leading to potentially patentable designs. Inventive engineers have a tremendous competitive advantage over other engineers, because they have gone beyond practical and analytical intelligence and have learned how to be creative. Inventive Engineering: Knowledge and Skills for Creative Engineers has its roots in engineering, psychology, history, systems engineering, political science, and computer science. It presents a body of knowledge integrated from these fields. It provides: * Background knowledge, which will motivate and prepare students for learning inventive engineering * A general outline of Inventive Engineering, with an understanding of the conceptual designing process and its various stages * Guidance on several inventive designing methods set in their cultural context to encourage students to develop practical skills for their use
Tomasz Arciszewski is a professor emeritus at George Mason University. He is a global scholar with experience that spans five continents and 24 countries. His life mission is to inspire and educate engineers in becoming more creative, thus enabling them to serve humanity in an expanded capacity, not only as analysts but also as inventors. Dr. Arciszewski has published more than 175 research and technical articles, including 57 journal papers and 29 book chapters, and coauthored or authored books. He earned his degrees from the Warsaw University of Technology. Before joining George Mason University in 1993, he was a member of the faculty at Wayne State University for 10 years.
Why Learn Inventive Engineering: Ten Reasons Ten Reasons Why You Should Become an Inventive Engineer Summing Up Lessons from the Past Why Learn from the Renaissance? Renaissance Emergence Renaissance Man Da Vinci's Seven Principles The Medici Effect Lessons from Modern Science Political Science Psychology Basic Concepts Introduction System Data, Information, and Knowledge Transdisciplinarity Emergent Behavior Knowledge Convergence Synthesis Synesthesia Attributes: Design Descriptors Design Representation Space Design Requirements and Constraints Engineering Design Problem, Designing Problem, Wicked Problem Science of Inventive Engineering Introduction Engineering Designing: Five Definitions Problem Identification Problem Formulation Design Concept Evaluation Design Concept Selection Morphological Analysis Creator History Assumptions Procedure Example Potential Applications Black and White Brainstorming Creator History Assumptions Procedure Tool Box Seven Simple Activities Seven Heuristics Session Organization Example Black and White Synectics Creator History Assumptions Psychological States Key Activities Psychological Mechanisms Procedure Session Organization Example Black and White TRIZ Creator History Knowledge: The Key to Understanding TRIZ Basic Concepts Assumptions Procedure and Example Patterns of Evolution Black and White Bioinspiration Why Learn Bioinspiration? What Is Bioinspiration? What Is the History of Bioinspiration? Visual Inspiration Conceptual Inspiration Computational Inspiration References
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