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GW The Woodruff School of Mechanical Engineering GRREP Program ME 4803-Information Engineering for Systems Realization 2007-08 Catalog Data: ME4803, Information Engineering for Systems Realization Credit: (3-0-3) Prerequisites: CS1371 Computing for Engineers (Introduction to Scientific Computing and Programming), ME2016 Computing Techniques (Numerical analysis techniques for solving engineering problems on the computer). Fundamentals of information modeling and exchange, engineering databases, Product Data Management (PDM) and Product Lifecycle Management (PLM), simulation based design frameworks. Course Material (Text): References: Raphael, B. and Smith, I.F.C., 2003, Fundamentals of Computer Aided Engineering, John Wiley & Sons, ISBN: 0471487090. Robinson, J.A., 2004, Software Design for Engineers and Scientists, Newness, Oxford. ISBN: 0750660805. Dr. Dirk Schaefer Instructor: ME Educational Objectives (see appendix) A B C D E ME4803 ME 4803: Information Engineering for Systems Realization ME Educational Outcomes (see appendix) 1 2 3 4 5 6 7 8 9 10 11 12 CG4 CG2 CG3 CG2 CG3 CG2 CG3 CG4 CG4 CG4 CG4 CG1 CG2 CG4 CG4 CG4 CG4 CG1 CG4 Prerequisite by Topic: 1. Ability to use numerical analysis, modeling, and simulation techniques to solve engineering problems on the computer. 2. Ability to implement numerical routines in MATLAB. 3. Familiarity with the concepts of abstracting engineering problems and the implementation in computer tools. Course Goals (ME Educational Objectives) CG1. CG2. To familiarize students with Information Engineering concepts such as information modeling, simulation based systems realization. (ME Educational Objectives B, D) To introduce students to mathematical and computational approaches needed for visualization of engineering data, the development of distributed complex engineered systems. (ME Educational Objective B) 1 CG3. To familiarize students with contemporary IT solutions for systems realization (ME Educational Objective B) CG4. To familiarize students with core components of contemporary CAE and PLM systems and make them aware of requirements regarding their future development. (ME Educational Objectives A, C) Approach: In this course, a project based approach to learning is adopted. Students are provided an engineering design related project spanning the whole semester. The core concepts of the course are delivered in class by means of lectures, practical examples, and associated assignments. These assignments are scaffolded to successively provide the students with knowledge and experience required to realize the project. Topics: Part I Engineering Information Modeling and Exchange Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Introduction to information engineering for systems realization Modeling engineering information relational models Modeling engineering information object oriented modeling representations (UML, EXPRESS) Data Structures for Solid Modeling B-REP, CSG Product Data Management Systems (PDM) architectures, examples Product Lifecycle Management Systems modules, processes, examples Standardized Product Data Exchange Part II Simulation based Systems Realization Week 8 Week 9 Week 10 Week 11 Week 12 Week 13 Week 14 Week 15 Simulation based collaborative design frameworks requirements, architectures Examples of simulation based collaborative design frameworks iSIGHT, FIPER, ModelCenter Simulation based design workflow management, execution and automation Engineering data analysis and visualization Introduction to frameworks for multidisciplinary analysis and design Introduction to frameworks for multidisciplinary analysis and design (contd.) Integration of PLM and Simulation based design frameworks Discussion of contemporary issues in CAE and PLM 2 Evaluation Instruments: 1. Assignments 2. Examinations Mid Term Final 3. Project Report Demonstration Oral presentations 4. Critical evaluation of learning Performance Criteria: Course Goal CG1. To familiarize students with Information Engineering concepts such as information modeling, simulation based systems realization. (ME Educational Objectives B, D) 1.1 Students will demonstrate the understanding of information modeling and database design through assignments and exams (ME Educational Outcome 9, Evaluation Instruments 1, 2) 1.2 Students will carry out projects to apply their understanding of the information engineering concepts (ME Educational Outcome 9, Instrument Evaluation 3) Course Goal CG2. To introduce students to mathematical and computational approaches needed for visualization of engineering data, the development of distributed complex engineered systems. (ME Educational Objective B) 2.1 Students will demonstrate the ability to use mathematical techniques for data visualization by developing/using a software application in their project (ME Educational Outcomes 1, 3, Evaluation Instrument 3) 2.2 Students will demonstrate an understanding of distributed design applications in the assignments and their project (ME Educational Outcome 9, Evaluation Instruments 1, 3) Course Goal CG3. To familiarize students with contemporary IT solutions for systems realization. (ME Educational Objective B) 3.1 Students will demonstrate the ability to identify relevant technologies to be used for specific mechanical engineering problems (ME Educational Outcome 4, Evaluation Instrument 3) 3.2 Students will learn how to break a problem into sub-problems and utilize available knowledge to develop an information-based system for solving the problem (ME Educational Outcomes 1, 4, 9, Evaluation Instrument 3) Course Goal CG4. To familiarize students with core components of contemporary CAE systems and make them aware of requirements regarding their future development (ME Educational Objectives A, C) 4.1 Students will learn to analyze CAE system capabilities, their modules and different ways of integration (ME Educational Outcome 7, Evaluation Instrument 1) 4.2 Students will abstract the requirements for future CAE systems based on their analysis of current systems. They will demonstrate the ability to argue merits of current systems and make recommendations for future development (ME Educational Outcomes 7, 8, Evaluation Instrument 3, 4) 4.3 Students will demonstrate proficiency in writing technical reports, preparing and delivering effective presentations of their projects (ME Educational Outcomes 6, 10, Evaluation Instrument 3) 3 Grading Scheme: 1. Assignments 2. Examinations Mid Term Final 3. Project Report Demonstration Oral presentations 4. Critical evaluation of learning Prepared by: Jitesh Panchal and Dirk Schaefer 25% 40% 15% 25% 30% 20% 5% 5% 5% Date: January 2008 Appendix GTREP ME Educational Objectives. A. To prepare students for successful careers and empower them to be life-long learners. B. To graduate engineers who solve problems through analysis that is anchored in the engineering sciences and / or computational tools. C. To graduate engineers who are able to design engineering systems for a global economy. This necessitates the development of skills that include the ability to formulate problems, to think creatively, to communicate effectively, to synthesize information, and to work collaboratively. D. To graduate engineers who are able to use experimental and data analysis techniques to understand engineering phenomena and / or validate them. E. To graduate engineers who understand their professional and ethical responsibilities to society. GTREP ME Educational Outcomes The Woodruff School educates students who will become the leaders in industry and academia. We expect our graduates to serve the profession, the State of Georgia, and the country. Upon graduation, the students will have obtained: 1. an ability to apply knowledge of mathematics, science, and engineering 2. an ability to design and conduct experiments, as well as to analyze and interpret data 3. an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability 4. an ability to function on multi-disciplinary teams 5. an ability to identify, formulate, and solve engineering problems 6. an understanding of professional and ethical responsibility 7. an ability to communicate effectively 8. the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context 9. a recognition of the need for, and an ability to engage in life-long learning 10. a knowledge of contemporary issues 11. an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice 12. an ability to apply principles of engineering, basic science, and mathematics (including multivariate calculus and differential equations) to model, analyze, design, and realize 4 5

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