degree from Iowa State University in 1992.Jeff Willis, Utah State University Jeff Willis Jeff Willis is a Software Engineer developing Mission Planning Software at Hill Air Force Base in Utah. He earned a BS degree in Computer Electronic Technology and a Masters degree in Computer Science from Utah State University. As part of his Master’s Thesis he co-authored two papers on self-configuring, deterministically latent intercommunication architectures for satellite payloads. Page 11.78.1© American Society for Engineering Education, 2006 A New Approach in Microprocessor
Engineering from Michigan Technological University in 2007. Dr. Aleksandr Sergeyev’s research interests include high energy laser propagation through the turbulent atmosphere, developing advanced control algorithms for wavefront sensing and mitigating effects of the turbulent atmosphere, digital inline holography, digital signal processing, and laser spectroscopy. Dr. Sergeyev is a member of ASEE, IEEE, SPIE and is actively involved in promoting engineering education.Dr. Mohsen Azizi, Michigan Technological University Mohsen Azizi received the Ph.D. degree in electrical and computer engineering from Concordia Univer- sity, Montreal, Canada, in 2010. From 2010 to 2013, he was a R&D engineer at Pratt & Whitney Canada
Paper ID #13796Design of a Modular Cloud Storage Gaging System for Automotive Manufac-turingMr. Mark Jeffrey ZurSchmiede, Federal Screw Works I am a Computer Engineering Graduate Student at Grand Valley State University and a practicing software engineer at Federal Screw Works. I spent the first four years of my career designing embedded software for the Aerospace and Medical industries and took a new job at an Automotive manufacturing facility. This latest project seeks to merge the automotive manufacturing world with embedded systems world by designing custom gaging solutions for the companies automotive parts.Dr. Jeffrey
is generally not practiced outside of these isolated contexts, studentsthat learned these formalisms will inevitably revert to “hunt and peck” strategies for solvingmaterial balances and for doing thermodynamic phase or reaction equilibrium calculations ratherthan apply a degrees of freedom analysis as a starting point. This lack of skill and understandinglimits the students’ ability to accurately formulate problems; an area that can be greatly improvedby implementing a pervasive approach to the utilization of a robust and generalized degrees offreedom formalism throughout the curriculum. IntroductionThe undergraduate chemical engineering student is typically introduced to the concept of degreesof freedom for the first time in either a
Paper ID #12072Analyzing Data Management Plans: Where Librarians Can Make a Differ-enceSara M. Samuel, University of Michigan Sara is an engineering librarian at the University of Michigan University Library where she is a liai- son to the Electrical Engineering and Computer Science Department and the Atmospheric, Oceanic and Space Sciences Department. Sara has a bachelor of arts from Hope College and a Master of Science in Information from the University of Michigan.Mr. Paul F. Grochowski, University of Michigan Paul Grochowski is an engineering librarian at the University of Michigan.Ms. Leena N Lalwani, University of
normative ideas about masculinity, thereby creating a climate ofexclusion and gender mismatch for many women.10-18 For example, boys are socialized tobuild and tinker (often with their fathers) with machines computers, or cars 15,17, 19, 20 andmany speak of the pleasure they derive from engaging in such activities.19 Engineering,in many contexts, also demands masculine typed traits, such as an aggressive presentationof self, and displays of hands on technical expertise.17,21 This can prove difficult forwomen who may not be accustomed to such practices, as a result of norms they havelearned, and those imposed on them by others, surrounding their behavior.17 Furthermore,women in engineering may doubt their own ability to be successful and often have
Special Programs, Director of the Advising & Learning Assistance Center, and Chair of the PreHealth Professions Committee. His research interests include slime mold development, in vitro gene evolution, mutagenesis, and protein engineering. He has taught all levels of undergraduate and graduate courses in biology over the past 29 years at RPI. Most recently, he has been involved in curricular design for a novel introductory biology course. Professor Hanna received his Ph.D. in microbiology from the University of Illinois. Page 13.254.1© American Society for Engineering Education, 2008
; telephone: (662) 325-4240; fax: (662) 325-7183; e-mail: apowe@engr.msstate.edu.Jane Moorhead, Mississippi State University Jane Moorhead is an instructor at Mississippi State University in the Electrical and Computer Engineering department. She has taught Digital Devices and Logic Design, Microprocessors and Introduction to ECE. She received her BS in EE from North Carolina State University and her MS in Computer Engineering from MSU. She previously worked for IBM as a design engineer in communications products as well as in speech recognition research. Her professional memberships include ASEE and IEEE. Address: Box 9571, Mississippi State University, Mississippi State, MS, 39762; telephone: (662
area of research is in elementary science education, the nature of science and science education pedagogy. In addition, he is the Co-Director of the Study Abroad Program (United Kingdom).Elias Faraclas, University of Connecticut ELIAS FARACLAS is a doctoral student and research assistant in the University of Connecticut School of Engineering, Department of Electrical and Computer Engineering. He earned his bachelor’s and master’s degrees in Electrical Engineering at UConn in December 2000 and 2004, and is currently completing his doctoral studies in Electrical Engineering. Presently, Mr. Faraclas is researching InP-based HEMT’s for low-noise applications and GaN-based HFET’s for high
and Management,Integrated Business and Engineering, Integrated Computer Science and Business, and acampus-wide, year-long experiential program in Integrated Product Development.Entrepreneurship teaching – graduate: Historically, entrepreneurship education atLehigh has focused on the graduate MBA program in the College of Business andEconomics. This program has recently implemented an entrepreneurial track led by anexperienced and successful entrepreneur. The graduate MBA has been augmented by acombined MBA and Engineering Masters program, where students earn dual degrees inbusiness and engineering. Also at the graduate level, one of the authors, Professor Ochshas offered a new product development course with industry-sponsored projects
Paper ID #43868Tracing Black Transfer Students’ Success in Engineering: A ComparativeInsight into Transfer-Student Trends at Two State Minority-Serving InstitutionsMr. Daniel Ifeoluwa Adeniranye, Florida International University Daniel Adeniranye embarked on his academic journey with a bachelor’s degree in mechanical engineering and dual master’s degrees in petroleum engineering and project development. He further enhanced his skills with a master’s in project (Engineering) Management. Daniel is currently a Research Assistant at the School of Universal Computing, Construction, and Engineering Education at Florida
solve the problem. The students compare the number of independent equations and the number of unknowns. The authors emphasize that the student should not proceed until the number of unknowns equals the number of independent equations. The solution may be obtained by hand, and this generally requires algebraic manipulation. Alternatively, the solution of any number of equations, linear or non- linear, can be obtained with a modern engineering tool. With intelligent application of verification (Step 8), the computer program is a much more reliable calculation device than a calculator. (ABET41 criterion 3(k) states that engineering programs must demonstrate that their students have the “ability to use the techniques
-sectional area, polar moment of inertia, centroid location, moment of inertia, section modulus, effective length, radius of gyration, etc.7. Solve. The independent equations developed in Steps 3 through 6 solve the problem. The students compare the number of independent equations and the number of unknowns. The authors emphasize that the student should not proceed until the number of unknowns equals the number of independent equations. The solution may be obtained by hand, and this generally requires algebraic manipulation. Alternatively, the solution of any number of equations, linear or non- linear, can be obtained with a modern engineering tool. With intelligent application of verification (Step 8), the computer program
that failure is an important part of gaining knowledge. Matt Green and Paul Leiffer, Engineering Professors at LeTourneau University call this “Flearning” as described in a recent conference paper, „Failure is often how students realize that some things work better than others, and some do not work at all. Failure clearly and eloquently demonstrates the real world phenomena [that] computer simulations or pencil-and-paper calculations fail to capture. Milestone-driven prototyping with specific goals in mind encourages “Flearning,” learning catalyzed by failure, which is critical to the design process.‟11 Thus, we can see how God uses our failures to teach us important truths, causing good to come out of seemingly bad situations
2021. 3 Motivation • First Author’s experiences • Pre-College Programs • High school STEM program • Engineering household 4The motivation for this study is rooted in the first author, an engineering student, and her experiences with STEM enrichment programs in the past. She was able to participate in programs and classes that allowed her to learn about career options and have early exposure to different areas of study. Through her participation in both PreCollege programs at our college of engineering, she was able to learn more
participants’ writtenresponses on open-ended items. NLP combines computational linguistics, which is rule-basedmodeling of human language, with machine learning to make sense of large amounts ofqualitative data [18]. First, the data were prepared for NLP. The responses were split intoindividual sentences through a process called sentence segmentation. The data were prepared foranalysis using sentence embedding which is a process to represent entire sentences and theirsemantic information (i.e., how words are used and related to other words within a sentence) asvectors. This approach maintains the context, intention, and other nuances in the entire text andis superior to individual word counts or analyses [19]. We used the deep learning modelRobustly
Paper ID #36998Exploring how students attend to the nature and dynamics ofcomplexity in their design problemsCorey Schimpf Corey Schimpf is an Assistant Professor in the Department of Engineering Education at the University at Buffalo, SUNY his lab focuses on engineering design, advancing research methods, and technology innovations to support learning in complex domains. Major research strands include: (1) analyzing how expertise develops in engineering design across the continuum from novice pre-college students to practicing engineers, (2) advancing engineering design research by integrating new theoretical or
., Undergraduate STEM Students’ Role in Making Technology Decisions for Solving Calculus Questions and the Impact of These Decisions on Learning Calculus, 127th Annual ASEE Conference Proceedings, Computer Science Division, paper ID # 29730, Montreal, Canada, 2020.9. Tokgöz, E., Tekalp S. B., Tekalp E. N., Tekalp H. A., Qualitative and Quantitative Analysis of University Students’ Ability to Relate Calculus Knowledge to Function Graphs, 127th Annual ASEE Conference Proceedings, Mathematics Division, paper ID # 29726, Montreal, Canada, 2020.10. Tokgöz, E. “STEM Majors’ Ability to Calculate Taylor Series’ Derivative & Integral”, ASEE Annual Conference Proceedings – Mathematics Division, paper ID # 25091, 2019.11. Tokgöz, E. & Ceyhan
doctorate degree and has experience teaching undergraduate first-year engineering and mid-level biomechanics courses. Meagan is currently working with the Kern Entrepreneurial Engineering Network partnership at OSU, integrating her interests in STEM education, entrepreneurial partnerships, and community engagement. Long term, Meagan is passionate about leveraging biotechnological advances in physiological data collection to both 1. promote factual science communication and learning and 2. to innovate community-driven engineering solutions centered around health and wellness. She values authenticity, connection with others, & integrity and prioritizes these values as an educator, bioengineer, and scientist.Krista M
, Inc. He earned his Ph.D (2012) and a Masters (2010) from the University of Wisconsin-Madison in Industrial and Systems Engineering concentrating in Human Factors and Ergonomics. Also, Dr. Blocker received a master’s degree (2006) in Computer Science from San Francisco State University. He attended Albany State University (Albany, GA) where he obtained a bachelor’s degree (2003) in Computer Science. He conducts research studies to ameliorate complex healthcare system issues by redesigning processes, tools and technologies. American c Society for Engineering Education, 2020 The Role of Connectedness for Minoritized Students at a Mentoring
Education a year later. Her research interests currently focus on engineering doctoral students in underserved populations such as women and international students.Dr. Jennifer M Bekki, Arizona State University, Polytechnic campus Jennifer M. Bekki is an Associate Professor in The Polytechnic School within the Ira A. Fulton Schools of Engineering at Arizona State University. Her research interests include topics related to engineering stu- dent persistence, STEM graduate students (particularly women), online learning, educational data mining, and the modeling and analysis of manufacturing systems. She holds a bachelor’s degree in Bioengineering and graduate degrees in Industrial Engineering, all from Arizona State
National Science Foundation to study expert teaching in capstone design courses, and is co-PI on numerous NSF grants exploring communication, design, and identity in engineering. Drawing on theories of situated learning and identity development, her work includes studies on the teaching and learning of communication, effective teaching practices in design education, the effects of differing design pedagogies on retention and motivation, the dynamics of cross-disciplinary collaboration in both academic and industry design environments, and gender and identity in engineering.Dr. Homero Murzi, Virginia Polytechnic Institute and State University Homero Murzi is an Assistant Professor in the Department of Engineering
Scholar in the Department of Teacher Education and Learning Sciences at NC State University. Her research interests include race and racial identity development, critical race theory, mixed methods research, and emotions in education.Dr. Coleen Carrigan, California Polytechnic State University, San Luis Obispo Professor Coleen Carrigan is a feminist anthropologist and an Assistant Professor of Gender, Race, Cul- ture, Science and Technology at Cal Poly San Luis Obispo. She investigates the historical and cultural dimensions of underrepresented groups’ participation in science, technology and engineering and the rea- sons why white males still dominate these fields.Saejin Kwak Tanguay, University of Washington
γ 1 P1sat (1) P1sat P1sat lim = = (10) x1 →1 γ P sat 2 2 γ 2∞ P2sat γ ∞2 P2satIf both of these limits are greater than 1 or both are less than 1, then no azeotrope is present inthe system. If one limit is greater than 1, and the other limit is less than 1, then at someintermediate composition, 0 < x1 < 1, the relative volatility passes through a value of 1, and it isconfirmed that the system possesses an azeotrope. Determination of whether the azeotrope is ofthe minimum pressure or maximum pressure type requires additional computations. However, ifa bubble point pressure at some intermediate composition is greater than
and Controls System workshop (DECS) which was held in BSC’sEngineering Technology Analog and Digital Circuits Laboratory. The DECS course wasdeveloped and presented by UK design and instruction system experts. The aim was to supportin-service teachers with the incorporation of digital electronics activities in their classrooms.The recent availability of programmable systems providing low cost “computers on a chip”served as the key process block in the students’ coursework structure. Students can make designdecisions and test the ideas on a computer in a classroom setting prior to prototyping a workingmodel.The students’ decision-making process of product design is not isolated within anelectromechanical universe, however. The design-based
20+ Biomedical EngineeringCharlotte Female 5-10 Chemical EngineeringDuncan Male 20+ ChemistryEvelyn Female 10-15 Civil EngineeringFritz Male 5-10 Computer ScienceGlenda Female 20+ Dance CompositionHannah Female 20+ Fashion DesignIsaac Male 5-10 Mechanical EngineeringJack Male 10-15 Painting and WritingKen Male 20+ PhysicsLeann Female 5-10 Mechanical EngineeringMarcus Male 20+ Experience
, which are summarized here. The major findings from the 2006 assessment were that students felt there was anincrease in workload due to the time spent learning material that was not a part of their degree-granting department and teaching a course for the first time. They also mentioned the difficultyin getting research done while teaching. Evaluations completed by faculty (formativeassessment) and freshman students (summative) were used to evaluate mentoring and feedbackprocesses. Workshop leaders considered the faculty evaluations very useful feedback, but feltthat the university wide student evaluations were less relevant. In response to this criticism, anew form was developed that is more appropriate to their responsibilities as
enhance the principles learned in coursework and expose students to workingin multidisciplinary groups in a final culminating project before graduation.A twelve facet design process is followed for the project. The twelve step process developed inincludes the following facet1: 1. Needs Assessment 2. Concept Development 3. Feasibility Assessment 4. Tradeoff Assessment 5. Engineering Analysis 6. Preliminary Design Synthesis 7. Engineering Models 8. Detailed Design DFx Page 11.1092.2 9
Six Sigma Master Black Belt.Dr. Thomas P. James P.E., Rose-Hulman Institute of Technology Tom James is presently a Professor of Entrepreneurship at Rose-Hulman Institute of Technology. His major interests are new product development and global business ventures. He currently teaches courses in accounting, finance, and entrepreneurial studies. In addition to teaching, Dr. James directs the ES- CALATE program, a living-learning community focused on integrating entrepreneurship and technical disciplines. He received his PhD in Mechanical Engineering and an Executive MBA from Marquette University. He is a Fellow of the American Society of Mechanical Engineers and is a registered Profes- sional Engineer (PE). Dr
, andimprove satisfaction with under-performing processes.2 This paper presents an overview of thecontinuous improvement journey at the Construction & Operations Management (COM)Department at South Dakota State University (SDSU) and demonstrates proof of concept via acase study which describes a Kaizen event performed in a multi-disciplinary academicdepartment, in a college of engineering. Higher education is a labor-intensive process, and thedepartment seeks to eliminate non-value added activities of faculty and staff, reduce time andeffort required in daily processes, and to improve student learning experiences in the department.These all illustrate important concepts that engineering management education delivers tostudents. The approach