careers innanoscale science and engineering [6-10]. Our team in the Department of Mechanical Engineering at Wichita State Universityalready started developing a nanotechnology laboratory. The objective of this laboratory is todesign, fabricate, analyze, and test structures and systems at nanoscales. In this laboratory, ourstudents will learn nanotechnology to improve their skills, which will also improve their job 2finding opportunities and leadership in the near future. We strongly believe that laboratoryexperiments in nanoscale research and development are essential for engineering students toenhance their practical knowledge after fundamental concepts. For this reason, following testsare
Using Working Model Simulations in a First Statics Course Shari J. Klotzkin (Cincinnati, Ohio) Howard S. Kimmel (NJIT, Newark, NJ)IntroductionIntegration of computer activities into the engineering classroom enables students to gain hand-on activelearning experiences without the expense of laboratory experiments. In addition, they can gain valuableexperience with exercises that are closer to practical real-world problems than those that can be solvedwith pencil, calculator and paper. These kinds of problems enhance the students’ understandingcomplement the textbook problems because students would focus on analysis and interpretation of theresults. Students feel
directly; in a way theyare involved in at least one task of each of the three projects, though each task is different in eachproject. There are three final deliverables, one from each group, delivered at the same time. Thestudents get a more holistic idea of what is involved to get to the final delivery from the initialtasks. The disadvantage remains one of a coordination issue. An additional drawback in multi-disciplines would be finding a project where all steps of a project are relevant to all groups ofstudents.3. Application ExampleIn this paper the pilot project implemented made use of the Sequential Learning Matrix. Theproject was implemented as part of the laboratory exercises. The targeted skills includedproblem solving, technical
core.When designing such a course, the selection of a particular microcontroller is a very importantdecision. The selection should consider not only what microcontrollers are currently popular, butalso the ease of project development using the system, the availability of support to students, thecosts of starting up a lab, and the flexibility of the platform to fit into a course with multipleobjectives. This paper reports on using Cypress Semiconductor’s Programmable System on aChip (PSoC) as the basis for a microcontroller systems design course. The experience ofselecting the PSoC, designing a curriculum around it, designing laboratory exercises andmanaging the course are described. Furthermore, considerations such as the technical andfinancial
factors that have influenced the business-centricity ofentrepreneurship education on most American campuses. In addition to the overlap ofcurriculum between standard business education and entrepreneurship education, the businessschool also offers the path of least resistance from an evaluation perspective. Business schoolsdo not have large research expenditures and investments in laboratories and equipment. Theyalso don’t have large research expenditure requirements for faculty. Despite the ostensiblebusiness school focus on commercial success, most faculty have no interest in nor are theyrequired to “pay their way”. They don’t have to be concerned with the commercial or grantwinning potential of their research or of their intellectual activity
departments, research centers, and laboratories,tours of industrial and municipal facilities, and presentations by Native American engineers andprofessionals. In the second week, students work in small groups with professors on specificprojects involving hands-on exploratory activities. Details of the camp can be found in anothercompanion paper presented in this conference (Lin et al., 2007).Topic SelectionNorth Dakota is a sparsely populated state with well developed agricultural and rich energyresources, such as oil, lignite coal, wind and biomass. North Dakota ranks number one in windenergy and is among the tops states for biomass energy production potentials. Corn, soy beans,canola oil produced in North Dakota plus its vast grasslands provide the
recent focus on wireless video transmission, modulation classification, speech enhancement, and sensor networks. He is a member of IEEE and ASEE.Md Hasanuzzaman, Tennessee State University Md Hasanuzzaman received the B.S. degree and M.S. degree from Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, in 1996 and 1998, respectively, and the PhD degree from University of Tennessee, Knoxville, TN in 2004, all in electrical engineering. Since 2005, he has been with Tennessee State University, Nashville, TN, as an Assistant Professor in the Department of Electrical and Computer Engineering. He was a research assistant of Oak Ridge National Laboratory and worked on advanced microprocessor
hasprograms in Machine Design, Machine Manufacture & Mechanical Automation, AutomobileService, and Electronic Information & Automation. The College has 1580 full-time students, 68faculty, and over 7000m2 (75,000sf) of laboratory space.The University of Dayton3 was founded by the Society of Mary (the Marianists) in 1850. It hasevolved from a boarding school for boys into a top-tier national, private university and one of the10 best Catholic universities in the nation. The University of Dayton has 6925 full-timeundergraduate students, 2580 graduate students, and 458 full-time faculty.The University of Dayton School of Engineering has 938 full-time students, 56 full-time faculty,and over 100,000sf of laboratory space. The School has
AC 2007-1565: SOFTWARE FOR STUDENT TEAM FORMATION AND PEEREVALUATION: CATME INCORPORATES TEAM-MAKERRichard Layton, Rose-Hulman Institute of Technology Richard A. Layton is an Associate Professor of Mechanical Engineering at Rose-Hulman Instsitute of Technology. He holds a PhD in Mechanical Engineering from the University of Washington. His professional interests include modeling and simulation of dynamic systems as well as curriculum and laboratory development in mechanical engineering. He has given workshops on building student teams for the ERM’s Regional Effective Teaching Institute as well as workshops in laboratory development.Matthew Ohland, Purdue Engineering Education Matthew W
behavior of structures, soil-structure interaction, and computational mechanics and computational structural dynamics. He is the director of the Structural Control and Aseismic REsearch Laboratory (S.C.A.RE.), where a seismic simulator facility with 5 tons capacity is in operation. His research has been funded through grants from the National Science Foundation, LARSA Corporation, TRW Corporation, and the Greek Ministry of Public Works. His e-mail address is and his web address is .Timothy Garland, Catholic University of America Timothy J. Garland is a senior student in the Department of Civil Engineering at The Catholic University of America.Rodrigo Gonzalez, Catholic University of
proceedings and journals, and three textbooks. Page 12.544.1© American Society for Engineering Education, 2007 Digital Design Project Competition using Advanced FPGA Technology and Hardware Descriptive LanguagesAbstractThe majority of the undergraduate engineering courses in hardware areas such as Digital Designsequence of courses covers theory and usually have integrated laboratory, evaluating students’knowledge through exams, home-works, and practical laboratory exams. However, there is still atremendous need for more innovative methods to reinforce the students’ technical and practicalknowledge, to meet all the learning
AC 2007-1855: BIOMEDICAL ENGINEERING PROJECTS: INTEGRATINGOUTREACH INTO ENGINEERING EDUCATIONRebecca Willits, Saint Louis University Rebecca Kuntz Willits is an associate professor of Biomedical Engineering at Saint Louis University and has developed courses in Transport Phenomena, Biotransport, Drug Delivery, Tissue Engineering, and Design of Laboratory Experiments. Page 12.312.1© American Society for Engineering Education, 2007 Biomedical Engineering Projects: Integrating Outreach into Engineering EducationAbstractAs the second course in a two semester sequence in transport
300universities will participate in the 2nd stage of competition in March 2007 and not less than40 universities will be selected out of the competitors to receive the governmental support fortheir innovative programs.Possibilities provided to participating universitiesUniversities may use the grant funds in accordance with the tasks they have to resolve, but inaverage 65-75% of the funding is used to purchase the most modern laboratory equipmentand computer technique, 20-25% is used to obtain or work out special software and methodicprovision and 5-10% is used for raising of the faculty skill level, including support ofinternational mobility.Improvement of methodological, material and staff potential is used by universities to resolvea complex of
AC 2007-1403: CAPSTONE DESIGN AND THE REHABILITATIONENGINEERING PROGRAMDon Dekker, University of South Florida Don Dekker is currently an Adjunct Professor of Mechanical Engineering at the University of South Florida. He is currently teaching Mechanical Engineering Laboratory I, and Capstone Design at USF. Before his retirement in 2001, Don taught at Rose-Hulman Institute of Technology. He first joined ASEE in 1974 and some of his ASEE activities include Zone II Chairman (86-88), Chairman of DEED (89-90), and General Chair of FIE ‘87. His degrees are: PhD, Stanford University, 1973; MSME, University of New Mexico, 1963; and BSME, Rose Polytechnic Institute, 1961Stephen Sundarrao, University
influenced them to major in engineering. Almostuniformly the conclusion was that it was an influential teacher (usually in math or science) thatgot them started. While the influence of this teacher led to an interest in science how thisultimately resulted in majoring in engineering was never as clear cut. To eliminate thisuncertainty we sought to bring math or science teachers to the WSU campus for a summer towork along side engineers in their research laboratories to get a clear idea of what engineers do.The teachers, in addition to strengthening their math and science backgrounds, then would serveas spokespersons for engineering in their respective classrooms. During the five years that theearlier program was in operation a total of 67 teachers
AC 2007-1589: TIERED MENTORING IN A CROSS-DISCIPLINARY ANDMULTI-INSTITUTIONAL RESEARCH PROJECTKaren Crosby, Southern University Dr. Karen E. Crosby received her Ph.D. degree in Engineering Science from Louisiana State University in 2000. She is currently an Associate Professor of Mechanical Engineering at Southern University. Dr. Crosby's expertise is in the area of materials science and mechanics, including mechanical property and microstructural characterization and deformation and fracture of engineering materials. Dr. Crosby's research activities have allowed collaboration with universities, private companies, and several federal governmental laboratories and agencies, including Los
, critical thinking has two relationships of r ≥ 0.30 with the independentvariables: use of individual laboratory project of the summated faculty teachingtechniques. The second dependent variable, job preparation, also has two relationships ofr ≥ 0.30 with the independent variables: summated faculty teaching techniques, and Page 12.1325.4summated faculty commitment to student success. The third dependent variable,construction of a prototype has six relationships of r ≥ 0.30 with the independentvariables: computer software skills, use of individual laboratory projects, timely feedbackon class and laboratory projects, summated faculty teaching techniques, high
performance in a traditional course, the modest level of mastery on the efficiency scale suggests a greater dose of the innovation might be needed to bring performance up to a level that could be regarded as mastery (e.g., 80%). (3) How to optimize the “generate ideas” component of the Legacy Cycle. Linsenmeier et al.11 tested the effects of an HPL-inspired metabolism laboratory over three consecutive years using a randomized experiment (with randomization to conditions within years). The comparative results show that the lab is effective (ESs = 0.57 and 0.30 in Years 1 and 2, respectively) relative to a traditional lab format. Prior to Year 3, they enhanced an aspect of
to have certain questions relating to the subject eitherbefore or after the class. The questions indicate a good understanding of the topics discussed in class.Some additional aspects that were noticed were that the Chinese students learn by doing, are taskoriented, know how to get things done, and want to fully understand the theory before being asked toverify it in the laboratory. It was noticed in a few classes that the students didn’t want to start the labuntil they fully understood the theory behind the experiment. They often learn by watching theirclassmates around them, and then by doing. This helps to reinforce their knowledge. Theyparticipate in plant tours and are eager to always learn more.Challenging AspectsBased on the teaching
applications. Prior to working for The University of Texas at Austin, Dr. Foltz Biegalski utilized her expertise to support the development of technology in support of the Comprehensive Nuclear Test-Ban Treaty (CTBT). This includes the development of software to analyze beta-gamma coincidence data from radioxenon monitoring systems.Steven Biegalski, University of Texas-Austin Dr. Steven Biegalski is the Director of the Nuclear Engineering Teaching Laboratory at The University of Texas at Austin. He specializes in the fields of nuclear instrumentation, neutron radiography, analysis of environmental media with nuclear methods, and modeling of environmental pathways. Prior to working for the University
. EXPLAIN, DEFINE, REMEMBER, ILLUSTRATE, INTERPRET, ANALYZE, DERIVE and APPLY the fundamental principles governing fluid motion. DEFINE Lecture, supplemental Knowledge and COMPARE control volume and control mass reading, problem Repetition 3 approaches. DERIVE and APPLY conservation of mass solving, study session, Analysis (Continuity equation), viscous stress, pressure multiple laboratory Application measurements, momentum equations, and energy experiments. equation to SOLVE one-dimensional application problems. APPLY and DISCUSS Bernoulli's equation to incompressible and compressible fluid and its
continuous improvement process.The faculty developed an approach to the assessment and continuous improvement at the courselevel with the intent of linking the assessment to existing faculty processes and measuringlearning without extensive acquisition of new data. The process is based on their course learningobjectives (that are linked to program objectives). Once the initial development and initialimplementation was accomplished, the typical faculty workload to implement the continuousimprovement process varied between 10 – 20 hours per semester, depending on the number ofclasses and specific assessment methodologies adopted by the faculty member.Individual instructors select exam problems, laboratory work or homework, or other graded workthat
workedtogether as part of the video and then the students take a break and work through individualproblems. This “hands-on”, learning by doing approach is one that is very popular withstudents since it is in tune with the way students learn best. It is also in tune with the ethos ofRMIT University as an institution producing practically focused, work ready graduates, aspreviously discussed.Videos, which have now been produced for use in conjunction with several different lectureand laboratory classes, are accessed via Blackboard, which is part of RMIT’s Learning Hub.They are thus a practical and readily accessible learning tool as well as an innovative one.Since these videos are comprehensive in their coverage and segmented into appropriatelearning
act, hazardous materials regulations which relate to air,health and regulations including emphasis on water, soil, employee, andsafety the transportation of hazardous public health and safetyregulations materials, OSHA Hazard • Explain the scope and Communication, Community application of these laws, and Right-to-Know, underground their liabilities and penalties. tanks, asbestos, Proposition 65, air • Determine regulatory toxic, and medical and infectious jurisdiction (federal, state, or waste regulations. The laboratory local agencies) in
. Solve structural technical problems. ii. Solve technical problems to satisfy a given set of specifications. iii. Develop alternate strategies to solve open-ended problems. 5. Recognize the value of diversity, and identify ethical and societal issues in business and technical tasks. i. Participate in a diverse group. ii. Discuss ethical and societal issued related to technology. 6. Solve problems and design components, systems or processes appropriate to the discipline of civil engineering technology. i. Utilize graphic techniques to produce engineering documents. ii. Conduct standardized field and laboratory testing on civil engineering materials iii
Page 12.1471.5 4 and also because the course currently does not offer a laboratory component that would illustrate these concepts in further detail. Resume Writing Workshop Ms. Maureen Arquette, RIT Co-op Office facilitated a two day resume writing workshop: In anticipation of the university’s annual Spring Career Fair, Maureen Arquette from the RIT Co-Op Office held a two day workshop specifically for ST@R Project students on resume writing and interviewing tips. End of Year Program: “Robotically Roving the Red Planet for Two (Earth) Years…and Counting!” Dr. Edward Tunstel, Senior Robotics Engineer at the NASA Jet Propulsion Laboratory
AC 2007-3105: A PROJECT-BASED APPROACH TO TEACHING THE NUCLEARFUEL CYCLEErich Schneider, Dr. Schneider received his PhD in Theoretical and Applied Mechanics from Cornell University in 2002. During the final two years of his graduate study at Cornell, he held the position of Lecturer. From 2002-2006, he was a Technical Staff Member in the Nuclear Systems Design Group at Los Alamos National Laboratory. In January, 2006, Dr. Schneider joined the Mechanical Engineering faculty at the University of Texas at Austin. He is affiliated with the Nuclear and Radiation Engineering Graduate Program at that institution
AC 2007-2076: EXPANDING UNDERSTANDING OF FIRST-YEARENGINEERING STUDENT RETENTION AND TEAM EFFECTIVENESSTHROUGH SOCIAL STYLES ASSESSMENTDaniel Knight, University of Colorado at Boulder Daniel W. Knight is the engineering assessment specialist at the Integrated Teaching and Learning Program and Laboratory. He holds a BS in psychology from Louisiana State University, and an MS degree in industrial/organizational psychology and PhD degree in counseling psychology, both from the University of Tennessee. Prior to joining the University of Colorado at Boulder, he gained extensive experience in assessment and teamwork in an engineering education context through the development and evaluation of a
technologists in this area.Within the Bloomsburg University EET program the RF effects and measurements course isidentified as one of the key courses necessary to provide the fundamental points of knowledgeand the skills required by the graduating engineering technologist in the field of RF and wirelesscommunication. For pedagogical reasons, a structured learning approach is pursued indeveloping the course through well compacted lectures that have clear objectives, supplementedby extensive laboratory sessions. Finally, a project based learning approach is utilized to bridgethe gap between the knowledge gained in class room, the skills gained in the laboratory, and real-life experiences.Development of a campus wide wireless network was one of the
solutions.ProgrammingThe new structured programming course has been developed to be taught concurrently with theNumerical Methods course described above. The course is based on Microsoft Visual Studio.NET and uses the textbook How to Program C++ by Deitel and Dietel4. The course consistedof one fifty-minute lecture and one 110-minute laboratory session per week. The laboratorysessions were limited to twenty students in order to improve the ability of the professor tointeract with the students. The laboratory sessions were conducted in a computer laboratoryequipped with a SMART board and SynchonEyes software to assist in instruction.Weekly assignments were given to be completed in the laboratory. Some of these were the JointAssignments discussed in the next