students to easily use suchanalysis packages at undergraduate levels. This paper discusses an undergraduate course,Computer Aided Engineering, and how it integrates design, analysis and optimization under thesame course.Overview of Computer Aided Engineering in Mechanical Engineering CurriculumMechanical Engineering curriculum is based on 120 credits and offers traditional courses as wellas various specialties including energy, applied mechanics, aerospace and manufacturing/designin the Department of Mechanical Engineering at Howard University. A recent change to thecurriculum included development of a new course, “Computer Aided Engineering”, in responseto demands of students as well as faculty who expect students to have advanced design (CAD)and
ones that focus on skill development related to engi-neering practice13, 17-19. Showing engineering students the significance and utility of bio-inspired design is easy.Teaching them how to do bio-inspired design without requiring them to be fully trained as biolo-gists is much more difficult. Teaching bio-inspired design in an engineering curriculum has tradi-tionally relied on either the ad hoc application of biological inspiration or research methods andtools that are tied to specific engineering design methodologies. Typically within the classroom,a tool or method is presented with an example that illustrates the technique and students are ex-pected to practice the inherent knowledge transfer steps required to understand the
Session 3630 EPICS: A Model of Service-Learning in an Engineering Curriculum William C. Oakes, Edward J. Coyle and Leah H. Jamieson Purdue UniversityAbstractEngineering Projects in Community Service — EPICS — is a service-learning program that wasinitiated at Purdue University in the Fall of 1995. Under this program, undergraduate students inengineering earn academic credit for long-term team projects that solve technology basedproblems for local community service organizations. The program has grown to include 20project teams with approximately 250 students participating during the 1999 academic
verification tools: Thie role of education. In The Impact of the 4th IndustrialRevolution on Engineering Education: Proceedings of the 22nd International Conference onInteractive Collaborative Learning (ICL2019)-Volume 2 22, pages 188-200. Springer, 2020.[5] Miroslav Velev. Integrating formal verification into an advanced computer architecture course.In 2003 Annual Conference, 2003.[6] Guido De Caso, Diego Garbervetsky and Daniel Gor. Integrated program verification tools ineducation. Software:Practice and Experience, 43(4):403-418, 2013.[7] Mehran Massoumi and Assim Sagahyroon. ASIC verification: Integrating formal verificationwith hdl-based courses. Computer Applications in Engineering Education, 18(2):269-276, 2010.
Paper ID #18886Formalizing Experiential Learning Requirements in an Existing Interdisci-plinary Engineering CurriculumDr. Harold R. Underwood, Messiah College Dr. Underwood received his Ph.D. in Electrical Engineering at the University of Illinois at Urbana- Champaign (UIUC) in 1989, and has been a faculty member of the engineering Department at Messiah College since 1992. Besides teaching Circuits, Electromagnetics, and Communications Systems, he su- pervises engineering students in the Communications Technology Group on credited work in the Inte- grated Projects Curriculum (IPC) of the Engineering Department, and those who
Session 2004-911 Linking Courses and Essential Experiences in an Undergraduate Environmental Engineering Curriculum Michael A. Butkus*, Marie C. Johnson, and Jason C. Lynch Department of Geography and Environmental Engineering United States Military Academy, West Point, NY 10996* corresponding author, (845) 938 –2820 (p), (845) 938 – 3339 (f), Michael.Butkus@usma.eduAbstract Many undergraduate engineering curricula develop introductory level knowledge ofcommon engineering processes by using highly constrained problems, which call for a single“right” answer. This teaching
AC 2008-2784: SUITABILITY OF AN UNDERGRADUATE CURRICULUM INBIOMEDICAL ENGINEERING FOR PREMEDICAL STUDYWilliam Guilford, University of Virginia William Guilford is an Associate Professor of Biomedical Engineering and Undergraduate Program Director at the University of Virginia in Charlottesville. He received his B.S. in Biology and Chemistry from Saint Francis College in Fort Wayne, Indiana, and his Ph.D. in Physiology from the University of Arizona in Tucson. Will's research focuses on the biomechanics of single molecules involved in muscle contraction and cell movement.Katherine Bishop, University of Virginia Katherine L. Bishop is the Undergraduate Program Coordinator for the degree
courses have beenAssessment Exam completedSummative Examination of all technical coursework to address achievement ofAssessment Exam Student Outcome A; and Program Specific Outcomes (L1 - L5)Senior Project This is an integrated curriculum experience used to assess Student Outcomes B to K and L1 to L5Humanities This is an integrated curriculum experience used to indirectly assessCapstone Student Outcomes E to KContinuous Improvement and Future WorkThe graduates from this specialization are expected to complete their program of study by theend of Spring 2014, when an analysis of initial program assessment data will be conducted andreviewed. In 2012, faculty and engineering
describe theauthors’ approach to adding original derivation assignments to the curriculum of engineering andtechnology courses in order to ensure the genesis of this creative skill set at the undergraduatelevel. The goal is to develop in undergraduate students learning patterns that will facilitate theability to write for any system, a set of equations that describes the system. II. INTRODUCTIONMathematical modeling entails finding a series of steps that define all the relationships in asystem. An example of a system is an energy system, a power system, an electronic circuit, amanufacturing process or a cancer cell. Each of these systems is an ongoing subject formathematical modeling.1-4 Students can use a
this concentration are selected from data analytics for decisionmaking, machine learning, and selected advanced courses in operations research and statistics.This concentration prepares students for some jobs as analysts or consultants, or for Master's-level studies in analytics.” The 15 hours of “analytics elective” requirements for Georgia Tech’sconcentration are to be from those listed below (13). Although comparison in some cases maynot be truly direct, there is enough similarity to show a trend. In both curriculums listed below,there is an obvious focus on data and data analysis building to a body of knowledge wheregraduates will be able to use such analysis for “Decision Making”. Course Number Required Course Name (3 to 6 hours
Paper ID #38218Value Methodology & Frugal Engineering: New frontiers in an engineeringcurriculum?Dr. Bopaya Bidanda, University of PittsburghGajanan Hegde ©American Society for Engineering Education, 2023Are Value Methodology & Frugal Engineering new frontiers in a collaborativeengineering and business curriculum?Bopaya Bidanda Gajanan G. HegdeErnest Roth Professor of Industrial Engineering Associate ProfessorUniversity of Pittsburgh Katz Graduate School of Businessbidanda@pitt.edu University of Pittsburgh
Session 2793 Large Scale Destructive Testing in an Undergraduate Structural Engineering Curriculum Douglas C. Stahl, Richard A. DeVries Milwaukee School of EngineeringBackground and Project Goals Most engineering educators would dismiss as a crackpot one who claimed that computersshould not be used in the practice of structural engineering; most would agree that blind faith inthe computer is an equally indefensible position. Many of us are not quite sure how to respond,however, to the opinion held by some senior engineers that reliance on a slide
courses teach students to work on well-defined andoversimplified problems. Average college students believe that the solution to all problemssimply implies finding the right formulas and plugging data into those formulas. Consequently,the learning of mathematics comes down to remembering formulas. Given application problemswhere the solutions are not based on formula association, most students do not know how to starttheir work. With the increasing complexity of postmodern technology, bridging the gap betweenreal-world problems and problems in textbooks becomes an increasingly critical pedagogicalissue. Berkey and Vernescu 1 presented an extensive survey about the curriculum reform effortof project-oriented education in 30 years. Many articles
achieve a sustainable world, and to raise the global quality of life 1,2.A path for accomplishing this major reform in education and pre-licensure experience in theengineering profession is further described by Walesh 3. Furthermore, longstanding ethicalcannons of engineering practice require that civil engineering graduates serve the profession andsociety as principled leaders 4. To prepare students to meet an increasing demand forprofessional skills in the engineering profession, undergraduate programs are responding throughmodification of academic curriculum material and course content 5. The American Society ofCivil Engineers published an expanded set of 24 civil engineering outcomes in the CivilEngineering Body of Knowledge for the 21st
Paper ID #8784Introducing Flexibility in an Engineering Curriculum Through Student De-signed Elective ProgramsDr. William J. Schell IV P.E., Montana State University Dr. William J. Schell holds a Ph.D. in Industrial and Systems Engineering – Engineering Management from the University of Alabama in Huntsville and M.S. and B.S. degrees in Industrial and Management Engineering from Montana State University. He is an Assistant Professor of Industrial and Management Engineering at Montana State where his primary research interests are engineering education and the role of leadership and culture in process improvement with
which represents the spine of the curriculum for the Department of Engineering. The research and teaching interests of Dr. Nagel tend to revolve around engineering design and engineering design education, and in particular, the design conceptualization phase of the design process. He has performed research with the US Army Chemical Corps, General Motors Research and Development Center, and the US Air Force Academy, and he has received grants from the NSF, the EPA, and General Motors Corporation.Prof. Matt Robert Bohm, University of LouisvilleDr. Julie S Linsey, Georgia Institute of Technology Dr. Julie S. Linsey is an Associate Professor in the George W. Woodruff School of Mechanical Engineer- ing at the Georgia
Integrating professional TCAD simulation tools in undergraduate semiconductor device courses Julie Kenrow Department of Electrical and Computer Engineering University of the Pacific, Stockton, CaliforniaAbstractSemiconductor device theory and IC processing courses are becoming more important inundergraduate electrical engineering curricula due to the fast changing technologies andchallenges currently facing the semiconductor industry. However, in recent years manyundergraduate EE programs have cut back or discontinued courses in semiconductor devices,solid-state physics and IC processing due to the high operating costs involved
with faculty from his alma mater.Prof. Bradley C. Harriger, Purdue University, West Lafayette Brad Harriger has over 30 years of experience teaching automated manufacturing and has authored/co- authored several related articles. Professor Harriger has served in several leadership roles with Society of Manufacturing Engineers and the American Society for Engineering Education, and is a founding mem- ber of an international Aerospace Automation Consortium, serving on its steering committee for several years. He has invested over twenty-five years in the development and maintenance of a multimillion dollar manufacturing laboratory facility complete with a full scale, fully integrated manufacturing sys- tem. Professor
have been completed, with plans for two or three more.We anticipate that by actively engaging students in applying statistical methods to engineeringproblems, they will be more motivated to learn the material, will see the connections betweentheir courses in science and engineering, and will be better prepared for subsequent courses.These modules will provide faculty with an additional resource aside from the textbook. We alsoanticipate that, given materials and appropriate support (e.g. training), faculty will be moreinclined to adopt changes in their courses. Feedback from students and faculty members will becollected to formally evaluate the effectiveness of each module
a recent curriculum change at Kettering University, three (3) courses, Mechanical Vibrations,Systems, and Controls were combined into two courses, Dynamic Systems I and DynamicSystems II with Lab1. With a decrease of lecture contact hours with the students, from ten hoursto eight, the material from the original three courses were evaluated for redundancies andsyllabus subjects were reduced. Dynamic Systems I within the new curriculum, focuses onmathematical modeling of uni- and multi- discipline systems involving electrical, fluid, andmechanical (linear and angular motion) systems. The subsequent mathematical models(differential equations) are evaluated in the time domain. Since multidiscipline systems areanalyzed, Dynamic Systems I has
calledEngineering Criteria 2000 or EC 2000) requires students to be familiar with experimentalstatistics. This requirement is implied in four places: program outcomes a, b, and k, listed undergeneral criteria, and a specific curriculum requirement listed under the program criteria formechanical engineering programs: General Criteria: (a) an ability to apply knowledge of mathematics, science, and engineering. (b) an ability to design and conduct experiments, as well as to analyze and interpret data. (k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering. Program Criteria specific to mechanical engineering: “The program
Paper ID #23286Improving Students’ Writing Skills by Integrating Prototyping Activities intheir Writing CourseDr. Amy Hodges, Texas A&M University at Qatar Dr. Amy Hodges is an instructional assistant professor at Texas A&M University at Qatar, where she teaches first-year writing and technical and business writing courses. She also leads the Writing Across the Curriculum initiative and coordinates the undergraduate writing courses. Currently, she is working on a project examining writing strategies used by engineers in multinational workplaces and the impact of these findings on WAC/WID programs. Her primary
1 awarded by the Associated Schools of Construction. She is geared toward modernizing the architecture, engineering, and construction management curricula by integrating VDC/BIM, AI, and other cutting-edge technologies into architecture and engineering education. ©American Society for Engineering Education, 2024 An Assessment of Students’ Perceptions in Curriculum Development Integrating Entrepreneurship and STEAM with Designing Green (Bio-inspired) RoofsSTRUCTURED ABSTRACTCONTEXT: Over the past several decades, sustainability has reshaped engineering educationand motivated scholars to implement it into academic curricula and research. Educatingengineering students
economicdevelopment, regional transformation, and domestic competitiveness.Accessibility to Additive ManufacturingIn academic communities, accessibility to 3D printing, while it is branching out, is generallylimited to selected segments of the population. Deploying additive manufacturing by way of 3Dprinting in academic settings has the potential to contribute to sustaining this growth, expandingdiversification, and stimulating economic development and domestic competitiveness.Studies have reported on the use of 3D printing services as an effective engagement and outreachtool by integrating their technology with university facilities that are constantly and activelyengaged with its community. Ramaley and Zea recommend using 3-D digital printing as a tool
composites. She is also interested in material performances and surface damage of polymer coated sheet metal. She holds a master’s degree and Bachelor’s degree in Mechanical Engineering in Wuhan University of Technology, Wuhan, China, where she designed an automatic temperature control system for salt-bath furnace as well as studied the corrosion resistance and surface protection of dies. She is currently a member of ASME and SWE.Dr. Jyhwen Wang, Texas A&M University Jyhwen Wang joined the Department of Engineering Technology and Industrial Distribution at Texas A&M University after working for 10 years as a researcher and R&D manager in industry. He teaches mechanics of materials, mechanical design
determine the coefficients correctly. After evaluating the model the nextobvious and needed step is finding the uncertainty of the model.An indirect measurement is a value calculated from more direct measurements. A regressionmodel is obviously an indirect measurement. Within the minimal restrictions that are usuallysatisfied in experimental engineering, the uncertainty of any indirect measurement, y, may bedetermined from the uncertainties of the more direct measurements, the xi. This calculation isdone with the familiar formula from Error Propagation Analysis (EPA), 2 2 2 ∂y ∂y ∂y u y
Paper ID #14584A Building-Block Approach to Industrial Controls Laboratories Using Pro-grammable Logic ControllersProf. Robert J. Durkin, Indiana University - Purdue University, Indianapolis Mr. Durkin teaches courses in Mechanical and Electrical Engineering Technology; including the capstone design and independent study projects. He serves as a Faculty Senator and earned the 2013 Outstanding Teacher Award. He has over 25 years of engineering and manufacturing experience including; design, project management, and various engineering, research and manufacturing leadership roles. He has been awarded two US patents. He is an
content. The curriculum designpermits instruction to be delivered in three one semester integrated courses or inconcurrently taught linked courses with coordinated presentation of material.IntroductionUnited States’ businesses and industries are changing their work environment to remaincompetitive in the world market. One of the major changes involves the technicalworkforce in shifting from the traditional manual industrial worker to an engineeringtechnician, who both works with his/her hands and applies theoretical knowledge. Thisexpanding role of the engineering technician requires changes in engineering technologyprograms. Engineering technology programs must identify the new characteristics andskills of the technician and create an
casestudies into undergraduate civil engineering, civil engineering technology, constructionmanagement, and architecture curricula has been facilitated by the development of educationalresources as part of a National Science Foundation (NSF) grant. This paper outlines theapproach utilized to incorporate the World Trade Center Collapse case study into a junior-levelStructures and Materials Laboratory course in an engineering technology and constructionmanagement program, identifying the technical and professional component outcomes supportedby this case study. Assessment techniques utilized to evaluate technical comprehension of thebuilding performance, as well as to evaluate the impact of this case study on student’s interest inthe engineering
, the program culminates in acapstone design experience wherein students synthesize their accumulated knowledge in a majorproject. There are many paths through the curriculum; select illustrative samples are shown in 9.1.2. ContextAssessment is an integral part of the accreditation process6. As an emerging engineeringdiscipline3,4, Robotics Engineering falls naturally under the purview of the ABET EngineeringAccreditation Commission. However, Robotics Engineering is not recognized by ABET as adistinct engineering discipline, hence there are no program-specific criteria to follow foraccreditation. Nonetheless, we have planned the program as if it were accreditable, based onprogram objectives and outcomes, and with mathematics, science, and