and social cultures among the various STEM disciplines will undermine a ‘onesize fits all’ retention plan. Based upon departmental needs analyses and published research onpossible ‘fits’ from successful STEM initiatives at other institutions, we designed PRIMES toblend two general strands that would support these anticipated outcomes: 1. Transform Teaching and Learning: Improved retention as a result of expanding our undergraduate teaching assistance (UTA) programs and institutionalizing a formal UTA training pedagogy. A working knowledge in best practices will enable them to be both effective and engaging in the laboratory and/or classroom. 2. Increase Faculty and Student Interactions: Improved retention as a
laboratory spaces used by the center.If successful, a student will be Calculus ready for the fall semester of their first-year. Theintervention is producing students who have higher pass rates in Calculus 1, and higher GPA.However, for the first cohort we did not find that these higher rates were statistically significant.Still, by accelerating Calculus readiness and providing a learning environment that promotesgeneral college readiness, we should have reduced time-to-graduation and hope to showimproved knowledge mastery in later courses, especially those that are Calculus or Mathematicsintensive.Enrolled StudentsThe first cohort entered the program in Summer 2014. We had 22 students, all had placementinto our College Algebra or Pre-Calculus course
. Camaratta, Jr.lends itself as the background for questioning the process and application of creating solids.Students are asked to reflect on the process of creating an object’s profile, and what kinds offunctions are well-suited for that purpose. Students are also asked to explain the changes orcomplications that arise when using a vertical rather than horizontal axis.Instruction on calculating volumes using disks (washers) and shells can then proceed in the usualfashion, using a variety of problem solving examples that showcase both methods, presentrotation about either axis, and use either x or y as the variable of integration. The capstoneexperience for these sections is a laboratory-type experience where students analyze a collectionof actual
the Wright State Model First-Year Engineering Mathematics Course in a Startup School of EngineeringIntroductionThe Wright State Model was first implemented in 20043 with the goal of increasing studentretention, motivation and success in engineering at Wright State University. “The WrightState Model approach begins with the development of a novel freshman-level engineeringmathematics course, "Introductory Mathematics for Engineering Applications." Taught byengineering faculty, the course includes lecture, laboratory and recitation components. Usingan application-oriented, hands-on approach, the course addresses only the salient math topicsactually used in core engineering courses. … The result has shifted the traditional emphasison math
mathematicians. SIAM Review, 61(4):860–891, 2019. [2] Mehmet Ergezer, Bryon Kucharski, and Aaron Carpenter. Work in progress: Designing laboratory work for a novel embedded AI course. In 2018 ASEE Annual Conference & Exposition, Salt Lake City, Utah, June 2018. ASEE Conferences. https://peer.asee.org/31280. [3] Jayson Paul Mercurio, Ayesha R Iqbal, Kevin Yamada, Jose L Guzman, Xiaorong Zhang, Wenshen Pong, Amelito G Enriquez, Zhaoshuo Jiang, Cheng Chen, Kwok Siong Teh, et al. Inspiring community college students in electrical and computer engineering research through live digit recognition using Nvidia’s Jetson Tx1. In 2018 ASEE Zone IV Conference, 2018. [4] Jack Bergquist and Anahid A Behrouzi. Multidisciplinary research
. Page 23.275.9AcknowledgmentsThe authors would like to acknowledge the support of the National Science Foundation throughthe Course, Curriculum, and Laboratory Improvement Program (DUE-0942270).References 1. M. Johnson, S. Sheppard, “Students Entering and Exiting the Engineering Pipeline—Identifying Key Decision Points and Trends,” Proc. of Frontiers in Education Conf., November 2002, pp. S3C-13 – S3C-19. 2. C. Veenstra, E. Dey, and G. Herrin, “A Model for Freshman Engineering Retention,” Advances in Engineering Education, Vol. 1, No. 3, 2009 3. M. Johnson, S. Sheppard, “Students Entering and Exiting the Engineering Pipeline—Identifying Key Decision Points and Trends.” Proceedings of the Frontiers in
discusses the integration ofphysical-units-treatment, dimensional analysis, in engineering preparation courses as part of anewly developed mathematics for engineers course to serve students enrolled in a newlydeveloped electrical and computer engineering degree programIntroductionIn 1999, NASA launched the Mars Climate Orbiter to study the atmospheric conditions of thered planet. As usual, the design and development work was performed by cooperating researchand development teams at the Jet Propulsion laboratory and Lockheed Martin. The investigationfollowing the crash of the orbiter on Mars revealed that two different systems of units were usedby the research teams and system integration did not take that fact into consideration1 resulting inthe
an Assistant Professor from 1997 to 2005 and an Associate Professor from 2005 to 2010. During that time, he served as the Chairman for the Communications Engineering Department from 2005 to 2009 and the Dean of Student Affairs in 2010. He has worked in the areas of turbo coding and optical wireless channels. He worked as a consultant for Global Cardiac Monitors, Houston, Texas, 2000 to 2002. During the years 1991-1992, he worked in different projects at the Radio Frequency and Digital Design Division at the Physical Science Laboratory, Las Cruces, N.M., USA.Mr. Erhard Zorn, Technische Universitt Berlin Erhard Zorn studied physics and mathematics at the Berlin Institute of Technology. After receiving his diploma in
contents3. Improve the delivery of laboratories and lectures, make abstract and non-intuitive mathematics concepts “visible”, “touchable”, and thereby, easy to understand4. Increase STEM students’ math course passing rate5. Foster students’ interest in mathematics, promote active learning, and motivate them to stay in STEM programsTo achieve the goal and objectives, the project consists of innovative technologies that enhancemathematics and engineering connection, simplify and speed up the process of complicatedconcepts delivery, as well as encourage critical thinking.Virtual Lab and Teaching Module Innovations1. Gaming and Virtual Reality Learning PlatformTo help students in mathematics courses, researchers from higher education have
has 58 systems. In Asia, Japan leads with20 systems, Taiwan has 11, China 10 and India 9 [18]. The No. 1 position goes to the BlueGene/L System, a joint development of IBM and theUS Department of Energy's (DOE) National Nuclear Security Administration (NNSA) andinstalled at DOE's Lawrence Livermore National Laboratory in California. AlthoughBlueGene/L has been in the No. 1 position since November 2004, the current system is muchfaster at 478.2 teraflops compared to 280.6 teraflops six months ago before its upgrade. BlueGene/P system installed in Germany at the Forschungszentrum Juelich (FZJ) is in theNo. 2 position with the processing speed of 167.3 teraflops while the No. 3 system is at the
shifts of focus –from core mathematics toward applications and toward interdisciplinary work with the naturaland social sciences, from academic to industrial and laboratory settings, from individual self-directed work to collaborative and multidisciplinary effort, from technical communication withco-specialists to translational communication across disciplinary and cultural boundaries.” Many faculty members within the School of Engineering at the university were concerned withthe severe lack of critical understanding of rudimentary concepts in calculus and differentialequations. Students’ basic mechanics were generally strong since students were verycomfortable with equations once they took on the recognizable form shown in their earliercourses
included in the INST are shown in Figure 1. Fig. 1. (a) Sample questions in the INST, original version in Spanish. (b) Translation to English.Since our goal was to detect those students with the highest probability of failure in calculus, theproblems selected to construct the INST evaluated only the most basic concepts in the areaspreviously mentioned. Even more, our test was divided in 4 sections, where each one contained10 questions about basic concepts, operatory skills and word problems (applications). Thosestudents who did not obtain a satisfactory grade (less than 60 out of 100 points) in this test wereenrolled in the Math Operatory Skills Laboratory (MOSL). MOSL is our approach to
Paper ID #24675Mechanical Engineering Organized Around Mathematical SophisticationDr. Louis J. Everett, University of Texas, El Paso Dr. Everett is the MacGuire Distinguished Professor of Mechanical Engineering at the University of Texas El Paso. Dr. Everett’s current research is in the areas of Mechatronics, Freshman Programs and Student Engagement. Having multiple years of experience in several National Laboratories and Industries large and small, his teaching brings real world experiences to students. As a former NSF Program Director he works regularly helping faculty develop strong education proposals.Dr
have also offered a summer section of this course to newly admittedengineering students who wanted to make a head start in their studies.Summary of Project Results:Mathematics Enrichment SessionsThe performance of students who opted to register for the ES sections are compared to those whochose the non-ES sections. Non-ES sections have either the traditional recitation sessions orcomputer laboratories that use the software Mathematica. Graduate teaching assistants conductboth of these options. The results from the initial implementation of ES are presented in [5].To gauge the effectiveness of the ES approach, the ES group and the non-ES group werecompared relative to two measures: proportion of students who passed Calculus I, that isproportion
resources are scarce, andmaterials for hands-on activities are not always available. Several hands-on activities wereimplemented in this program, and it is clear that some were more beneficial than others. Forexample, the activity to calculate the coefficient of restitution (COR) between various balls andvarious surfaces was hands-on and similar to a laboratory experiment. By contrast, theengineering design activity employed a discovery-based learning approach to keep studentsdeeply engaged and help them explore the steps of the engineering design process.Implementations of discovery-based design activities have been shown to be beneficial, as notedin the engineering education literature.25 It is possible that discovery-based learning played
Paper ID #11518Advanced Undergraduate Engineering MathematicsDr. Michael P. Hennessey, University of St. Thomas Michael P. Hennessey (Mike) joined the full-time faculty as an assistant professor in the fall of 2000. Mike gained 10 years of industrial and academic laboratory experience at 3M, FMC, and the University of Minnesota prior to embarking on an academic career at Rochester Institute of Technology (3 years) and Minnesota State University, Mankato (2 years). He has taught over 20 courses in mechanical engineering at the undergraduate and graduate level, advised 11 MSME graduates, and has written (or co-written) 45
(bottom-up) dynamical models that track the behavior of individualatoms and molecules, and (top-down) continuum models like those of Navier-Stokes andCauchy that are applicable at the scale of millimeters and above. Can the continuum accountof the vibration behavior of an elastic body (i.e. a string or membrane in this paper) bereduced to the theory of its atomic constituents in the sense that we can derive the macroscalebehavior from the microscale (particle) theory?The upscaling of the model descriptions from atomic to laboratory scales usually takes placeby reduction. The individual description of elastically coupled particles reduces to continuummechanics by making use of appropriate mathematical limits, which seems to be justified
- search Laboratory in the Navy Center for Applied Research in Artificial Intelligence in Washington, D.C. and as a software developer for Imaging Science Research, Inc., Burke, VA. His research interests are in the area of human-computer interaction, knowledge modeling, and educational technology. Dr. Castles is a member of the ASEE and the IEEE.Heather L. Ries, East Carolina University Heather L. Ries is an Associate Professor in the Department of Mathematics and an Associate Dean in the College of Arts and Sciences at East Carolina University. Dr. Ries received a BA degree in Mathematics and History from Bates College. She received MA and PhD degrees in Mathematics from the State University of New York at Binghamton
student achievement or motivation, itis to examine changes in instruction when teachers implement an inquiry-based program. To examine what traditional and inquiry practice look like in a classroom, it is necessaryto first define these terms. As stated previously, inquiry is most commonly associated with the Page 12.830.2theory of constructivism. Teaching through inquiry has its roots in education as early as thebeginning of the nineteenth century with John Dewey and his laboratory school8. Theorists likePiaget, Vygotsky, and Bruner examined cognitive development and advocated an activeeducational setting where students construct their own
Engineers for over 24 years including eleven years on the faculty at the United States Military Academy.Dr. Anand K. Gramopadhye, Clemson University Dr. Anand K. Gramopadhye’s research focuses on solving human-machine systems design problems and modeling human performance in technologically complex systems such as health care, aviation and manufacturing. He has more than 200 publications in these areas, and his research has been funded by NIH, NASA, NSF, FAA, DOE, and private companies. Currently, he and his students at the Advanced Technology Systems Laboratory are pursuing cutting-edge research on the role of visualization and virtual reality in aviation maintenance, hybrid inspection and job-aiding, technology to
2100 beginning 2016, thus allowing us more flexibility with its content. This provides an opportunity to incorporate more materials from the textbook, Studying Engineering by Raymond Landis, to give the student development aspects of the first-year seminar an engineering focus.Finally, the CEAS-EXEP Cohort program and the engineering math course are relativelyinexpensive to implement, and they could be used to support the Algebra II students alongsidewith or even in place of Summer Bridge, Peer Mentor or Alumni Mentor programs.AcknowledgmentThe authors wish to acknowledge the support of the National Science Foundation in thedevelopment of the engineering mathematics course through a grant from the Course Curriculumand Laboratory
a way of approaching the design process and asks howwe design to 1) preserve and rejuvenate this existing infrastructure, and 2) create newinfrastructure that will help to make our cities more sustainable. Students will use [the local city]as a laboratory to apply principles of reverse engineering to understand existing infrastructureand apply the design process to develop creative solutions to urban infrastructure problems.Engineering Failures: Lessons for the Future (Civil and Environmental Engineering –Instructor 5)Unless they are constructed and used entirely at sea, in the air, or in space, all structures aresupported by soil and/or rock for at least part of their design life. Geotechnical engineering is thearea of engineering that
Financial Mathematics graduate program at WPI (www.wpi.edu/+math/Grad/profms.html)has been designed to lead students to the frontlines of the financial revolution of the new century.Coursework on mathematics and finance, computational laboratories, industrial internships, andproject work equip students with the knowledge, skills, and experience necessary for thequantitative positions in investment banks, securities houses, insurance companies, and moneymanagement firms. Mastery of mathematical models for risk and its relationship to returns,trading strategies, structured contracts, and derivative securities requires a strong mathematicalbackground. The program is built on collaborations between our faculty and the financialservices industry
University of Wisconsin, Milwaukee (UWM) since 1983. Currently, he is professor and Chairman of the Computer Science Program. Hosseini’s expertise is in the areas of computer networks, computer architecture, fault-tolerance, and distributed and parallel computing. He is the Founder and Co- director of the Computer Networks Laboratory at UWM. Hosseini has published more than 120 research papers in refereed journals and conference proceedings, one of his co-authored papers has won the Best Paper Award, and he has published two book chapters. He is the recipient of a patent in the field of com- puter networks. He has supervised nine Ph.D. and over 60 M.S, students and has received funding from NSF and industry. Hosseini is
teachingbackground. Throughout his Ph.D. in mechanical engineering at the University of Wisconsin-Madison, he held teaching assistantships in the departments of mechanical engineering, electricalengineering, and mathematics. His primary duties were highly interactive, and includedlecturing, supervising and guiding students in laboratory settings, and guiding discussionsessions. Courses he was either solely or jointly responsible for included pre-calculus algebra,vibrations, acoustics, electrical communications, and instrumentation. During his tenure as afaculty in mechanical engineering at Purdue University, he taught a variety of courses in thesystems, instrumentation and controls division. He also developed and taught two cross-listedgraduate courses. One
– 2012 Head of accredited test laboratory (accredited to EN ISO/IEC 17025). 2008 – 2012 Head of Budget Committee 2008 – 2012 Member of the working group responsible for quality at the UAS. 2006 – 2012 Head of Board of Trustees of Department of Automotive and Railway Engineering. 2006 – 2012 Founder and Coordinator of the Field of Competence ”Measurement Technology” 2006 – 2012 Founder and Coordinator of the Field of Competence Engineering Education” 1998 – 2005 University’s represen- tative in the national project ”Women in Technic” 1997 – 2006 Professor of ”Measurement Technology, Signal Analysis and Informatics in the Department of Automotive and Railway Engineering 1994 – 1997 EVK, Graz (Automation, Measurement
at the University of Alabama at Birmingham, co-authoring the textbook used in the course. As a National Director with the Mathematics Division of ASEE, he works tirelessly to grow and develop the STEM workforce in the Cen- tral Alabama area. Dr. Moore teaches (1) Engineering Mathematics and (2) Engineering Computation using MATLAB at UAB. Work Background / Experience: He interned at UNC/Chapel Hill, Argonne National Laboratory (Atomic Physics Division), and Entergy Corporation in Transmission and Distribution, and then Standards. He then began serving as a high school physics teacher for three (3) years where his students would inspire him to continue his education. Upon completing his doctoral studies, Dr