Page 13.529.2(IT) and science, technology, engineering and mathematics (STEM) fields that will continue atleast into the next decade. As evidenced by the U.S. Government’s H1-B visa program, it hasbecome necessary to import skilled practitioners in these fields from other countries to meet theneeds of the American industrial base. In South Korea, 38% of all undergraduates receive theirdegrees in natural science or engineering. In France, the figure is 47%, in China, 50%, and inSingapore 67%. In the United States, the corresponding figure is 15%2. For the long-termeconomic health of this country it is important that more students pursue studies in these fieldsand then join the workforce. The United States is today a net importer of high
and software requirements to perform this experiment are listed in Table 1.Figure 1 shows the server/client network setup required for this laboratory experiment.This experiment is divided into the following three main parts: a) Installing the hardware and configuring the voice server and clients. b) Analyzing the voice quality under different network constraints. c) Monitoring calls as well as examining voice packets and VoIP signaling protocols.In the following paragraphs we describe details pertaining to each part. The complete labmanual can be retrieved from reference3. More details regarding the installation ofTrixBox V2.0 can be found in reference4.In the first part of the experiment, each group with two or three
real world techniques for thedrive stepper motor to students. The STP-DRV-4035 micro stepping drive from AutomationDirect4 and the 1746-HSTP1stepper controller module5 are used for this lab. The experimentalsetup of the stepper motor drive and a sample PV550 screen are shown in Figure 1. (a) Stepper motor drive setup (b) Sample PV550 screen developed to control a stepper motor Page 15.400.5 Figure 1. Experimental setup of the stepper motor drive and PV550 screenIn order to control the stepper motor properly, the I/O data tables of the stepper controllermodule must be
reports, and writing assignments both within thedepartment and from the humanities department are assessed. Figure 1 lists the courses in thecurriculum used for assessment as well as which rubrics are used in the assessment process.Courses were chosen from freshmen to senior year in order to assess student progress in meetingprogram outcomes and to allow early identification of any problem areas; a strong curriculum isbuilt on good foundation courses with a focus on program outcomes. Page 15.141.2 COURSES a b c d e f g h i j k Year 1Elements
, and Maintaining a Successful Pre-engineering Program in the Nation’s High Schools. Proceedings of the 1998 28th Annual Frontiers in Education Conference.2 Johnson, G., Project Lead the Way: A Pre-engineering Secondary School Curriculum. Proceedings of the 2001 ASEE Annual Conference and Exposition.3 Foster, G. N., K-12 Programs Plug into Technology with Project Lead the Way Curriculum. Proceedings of the 2002 ASEE Annual Conference and Exposition.4 Newberry, P., Hansen, J., Spence, A., Research of Project Lead the Way (PLTW) Curricula, Pedagogy, and Professional Development. Proceedings of the 2006 ASEE Annual Conference and Exposition.5 Prevost, A., Nathan, M., Stein, B., Tran, N., Phelps, A., Integration of
. • Develop and present appropriate alternative solutions. Assignment #4: • Analyze simulation output results. Assignment #5: • Interpret results of business process improvements.During class, students are instructed on the learning objectives that are covered in eachassignment. In the first assignment (see appendix B), the objective is to identify the differentcomponents that are required to build the model. During this class students are introduced to thevarious components required to build a model. This is accomplished by reviewing a basic codethat was created as a result of building a model. Figure 1 shows a portion of the code output thatis discussed with the students. As a second part to this first assignment, students
missionexperience that included appropriate technical content that informed participants of the program offeringsat Purdue Polytechnic. As such, the critical components of the event requiring development prior to theevent included a) an event script and supporting media, b) a physical 3-D Martian surface, c) a roboticrover based on LEGO Mind Storm robots, d) custom sensors and hardware to extend the capabilities ofthe rover, and e) instructional documents for student preparation of their “news releases”. a) Script and MultimediaTo engage students in PMTM, they were asked to role play as if they were design engineers in anaerospace think tank. To make the experience as authentic as possible, a fictional mars rover campaignwas created and the engineering
method (see Appendix A). Fig. 8: AspenPlus Column Design ResultsTo account for future projects, it was decided to design the column with 7 bubble cup trays insteadof the required 3 trays (excluding reboiler and condenser). The as built distillation column is shownin Figure 9.4 Fig. 9: The as built Distillation ColumnMajor parts used to build the column along with specifications and sources are included inAppendix B.4. The Control PlatformHuman Machine Interface (HMI) and LabVIEW ProgrammingAside from constructing the distillation column, three proportional-integral-derivative (PID)controllers were implemented to achieve the following control objectives: reflux drum levelcontrol
testing. Only manufacturing hasbeen outsourced to a commercial vendor located in Canada, in line with common practices of thisindustrial sector.The pedagogical approachThe opportunity provided by ECETDHA demanded a review of the current syllabus in order tomaximize the students’ understanding of the class topics through the execution of a real–worldproject within the standard 14 weeks.The experiential learning approach 4 is considered with great favor by the author as a guideline 5a) for teachers to facilitate the student’s understanding of a subject; and b) for students to learn Page 15.369.3through experience how to handle unforseen challenges
Outcomes 11 An appropriate mastery of the knowledge, techniques, skills and modern tools of the discipline Outcome 1 (ABET 2.a ) An ability to apply current knowledge and adapt emerging applications of mathematics, Outcome 2 science, engineering and technology (ABET 2.b ) An ability to conduct, analyze and interpret experiments and apply experimental results to Outcome 3 improve processes (ABET 2.c) An ability to apply creativity in the design of systems, components or processes appropriate to Outcome 4 the program objectives (ABET 2.d ) Outcome 5 An ability to function effectively on teams ( ABET 2.e
., Trigaud, T., and Moliton, J. P., “Optical waveguides etched in 6FDA-ODA by focused ion beam ,” Synthetic Metals, Vol. 124, 1, pp. 33-35, 20016 Shew, B., Huang, T., Liu, K., and Chou, C., “Oxygen quenching effect in ultra-deep x-ray lithography with SU-8 resist,” J. Micromech. Microeng., 14, pp. 410–414, 20047 Marques, C., Desta, Y. M., Rogers, J., Murphy, M. C., Kelly, K., “Fabrication of high-aspect-ratio microstructures on planar and nonplanar surfaces using a modified LIGA process,” J. Microelectromech. Syst., 6 4, pp. 329–336, 19978 Krchnavek, R. R., Lalk, G. R., and Hartman, D. H., “Laser direct writing of channel waveguides using spin-on polymers,” J. Appl. Phys., 66, pp. 5156 – 5160, 19899 Eldada, L., Xu
informationtechnology.The main motivation to update this course was to provide better programming experience andreal engineering applications experiments to the students taking this course, and at the same time,making the material easier to understand. To make the learning experience for the students moreinteresting we implemented the following policies: a) Increasing interactions between instructor and students in class and lab b) Enhancing communication with students during class and lab sessions c) Supporting students software learning and project development while using microcontrollers for the first time d) Enhancing active learning and instruction e) Practicing program debugging and documentation f) Improving class assessment and evaluation
wireless propagation characteristics and perform specific wireless experiments outsidetraditional labs. By experimenting with the mobile platform students will enhance their hands-onand programming skills, and will become more competitive in the wireless industry job market.AcknowledgementDr. Otilia Popescu’s work was supported in part by the Virginia Space Grant Consortiumthrough the 2015 New Investigator Program.References 1. Wyglinski, A. M., Orofino, D. P., Ettus, M. N., & Rondeau, T. W. (2016). Revolutionizing software defined radio: case studies in hardware, software, and education. IEEE Communications Magazine, 54(1), 68-75. 2. Ge, F., Chen, Q., Wang, Y., Bostian, C. W., Rondeau, T. W., & Le, B. (2008, March
., 2012, "A formal research study on correlating student attendance to student success," 2012 ASEE annual conference program : final conference program and proceedings, June 10-13, 2012, Henry B. Gonzales Convention Center, San Antonio, Texas. Anonymous American Society for Engineering Education, [Washington, DC]. 11. Friedman, Paul Rodriguez, Fred McComb, Joe, 2001, "Why Students do and do Not Attend Classes," College Teaching, 49(4) pp. 124. 12. Golding, J. M., 2011, “The Role of Attendance in Lecture Classes: You Can Lead a Horse to Water…,” Teaching of Psychology, 38(1) pp. 40-42. 13. Gump, S. E., 2004, "Keep Students Coming by Keeping them Interested: Motivators for Class Attendance
future alumni surveys, such as correlating self-efficacy to pursuingcareers in engineering and engineering technology.ReferencesBandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review 84(2), 191-215.Carberry, A.R., Lee, H.S., and Ohland, M.W. (2010). Measuring engineering design self- efficacy. Journal of Engineering Education 99(1), 71-79.Dieter, G., Schmidt, L. (2009). Engineering Design, McGraw-Hill Higher Education: Boston.Lent, R.W., Brown, S.D., and Larkin, K.C. (1984). Relation of self-efficacy expectations to academic achievement and persistence. Journal of Counseling Psychology 31(3), 356.Marra, R.M., Rodgers, K.A., Shen, D. and Bogue, B. (2012). Leaving engineering: A multi-year
, June 1999.9 Zhang, G., Anderson, T., Ohland, M., Carter, R., and Thorndyke, B. (2002). Identifying factors influencing Page 13.933.9engineering student graduation and retention: A longitudinal and cross-institutional study, Proceedings of theAmerican Society for Engineering Education National Conference, June 2002.10 Ozgur, E., Chen, H., Bailey, T., Engerman, K., Loshbaugh, H.G., Griffin, A. et al., (2005). Development of thePersistence in Engineering (PIE) survey instrument, Proceeding of the American Society for Engineering EducationAnnual Conference & Exposition, June 2005.11 Ozgur, E., Chachra, D., Chen, H., Rosca, C
. Page 13.56.98. Mehrabian, A., “Application of Technology in Course Transformation from Live to Distance Learning,” TheTechnology Interface, Fall 20079. Christie, B., “Writing On-line Exam Questions that Discourage Dishonesty”, ASEE Proceedings, 2003, Session327510. Gavrin, A., et al, “Just-in-Time Teaching (JITT): Using the Web to Enhance Classroom Learning, Computers inEducation Journal, 200311. Buchanan, E. A. (1999). Assessment Measures: Pre-tests for Successful Distance Teaching and Learning, On-line Journal of Distance Learning Administration (2)3. Retrieved fromhttp://www.westga.edu/~distance/buchanan24.html.12. Lockee, B., Moore, M., and Burton, J., “Measuring Success: Evaluation Strategies for Distance Education”,EDUCAUSE Quarterly, No
Network Professional, Microsoft Certificated Professional, EMC Information Storage and Management, IPv6 Forum Certified Engineer (Gold), IPv6 Forum Certified Trainer (Gold), and Cisco Certified Academy Instructor. Dr. Pickard received his Ph.D. in Technology Management at Indiana State University. He also holds an MBA from Wayland Baptist Uni- versity and a B.S. in Professional Aeronautics from Embry-Riddle University. Research interests include: IPv6,wireless sensor networks, industrial networks, and industry-academia partnerships.Dr. Jimmy Bill Linn, East Carolina University Jimmy B. Linn, Ph.D. Teaching Professor Technology Systems College of Technology & Computer Sci- ence linnj@ecu.edu
building design, building automation, and smart envi- ronments. ˜ Tecnologico Nacional de Mexico / Instituto Tecnologico de MatamorosDr. Anabel Pineda-Briseno, Anabel Pineda Brise˜no was born in H. Matamoros, Tamaulipas, Mexico in 1978. She received the B. degree in computer systems engineering from the Autonomous University of Tamaulipas, in 2000 and her M.S. and Ph.D. degrees in computer science from the Computer Research Center (CIC) of the Mex- ican National Polytechnic Institute (IPN), Mexico City, in 2006 and 2013 respectively. Since 2005, she has been a partial professor of computer science with the Tecnologico Nacional de Mexico / Instituto Tecnologico de Matamoros. Dr. Pineda-Brise˜no is
: 00731079569. Introduction to ANSYS Part 1: Release 9.0, Training Manual, Inventory #002170, December 17, 200410. Budgell, Peter. Finite Element Analysis using ANSYS Information and Tips, http://www3.sympatico.ca/peter_budgell/home.html11. Ford, John C., Chengdong, Shi, and Alchala, Edward J., ‘Team A: Better Banana Hanger’, Project report submitted as requirement of TECH 5311-Computer Aided Engineering course, Internal Document, Texas State University - San Marcos, Fall 2005.12. Crabb, Randy T., Qiu, Lu, and Frerichs, Arthur L., ‘Team B: Banana Peg’, Project report submitted as requirement of TECH 5311-Computer Aided Engineering course, Internal Document, Texas State University - San Marcos, Fall 2005
. Assessment and EvaluationWe will formulate an external advisory team for evaluating our progress and suggesting changes asneeded. The team members will be selected from academia, industry, business, and community. Theexternal and internal evaluation and assessment team will be also a part of this advisory team. The short-term assessment and evaluation report will include: (a) students’ grades and progress towards their degrees; (b) students’ progress in their learning of computer technology; and (c) students’ attendance and participation in the project’s academic enhancement activities.Students will evaluate all program activities regarding the relevance and presentation of information,pointing out the program’s strengths
involve a larger amount of intentionalinteraction than hyperlinks” (p. 3). Online learning similarly is described as “learning that takesplace partially or entirely over the Internet. This definition excludes purely print-basedcorrespondence education, broadcast television or radio, videoconferencing, videocassettes, andstand-alone educational software programs that do not have a significant Internet-basedinstructional component” (Means, B., Toyama,Y., Murphy. R., Bakia, M., and Jones, K., 2009)7.It then becomes important to understand what a Learning Management System (LMS) is andhow it can be used. Carliner (2004)1 explains that LMS “refers to software that performsadministrative tasks” LMS can also perform several functions for both online and
experimentation and project use. Based on the suggestions from thestudents, the CETHC11EVB2 has several modifications over its predecessor CETHC11EVBand providing several advantages:• CETHC11EVB2 uses an HC24 port replacement unit to gain access to Port B and Port C I/O pins control.• There is no need to change the HC11’s mode. The CETHC11EVB2 always remains in Expanded Mode.• CETHC11EVB2 has full access to external 8K or 16K RAM (Jumpers: J4, J5, & J6 selectable) while maintaining control over all I/O pins. This makes the system flexible enough to accept different RAM chips based on the availability.• CETHC11EVB2 can be used as a full target system development tool. The only required changes in the developed software are the
; VII. Assume ethical leadership roles that contribute to the success of their organization or community; and VIII. Advance in the profession.The MET outcomes defined for MET graduates states that “The MET program seeks to producegraduates with a good foundation in engineering fundamentals as well as one strong inapplications, design, problem recognition and resolution, project management, communication,and professional and ethical responsibility. MET graduates will:8 1. Fundamentals: Demonstrate math, basic science and engineering science skills necessary for proficiency in MET careers. (contributes to abet criteria a, b, f) 2. Applications: Demonstrate an ability to integrate basic theoretical, experimental
Engineering Education, vol. 34 ED-1, pp. 26-39,2000.[6] B. J. Millis, and P. G. Cottell Jr, Cooperative Learning for Higher Education Faculty.Phoenix, AZ: Oryx Press, 1997.[7] B. L. Smith, and J. T. MacGregor, “What is collaborative learning,” Austin CommunityCollege, Austin. Memo. 1992.[8] J. Cuseo, J, “Collaborative & cooperative learning in higher education: A proposedtaxonomy,” Cooperative Learning and College Teaching, vol. 2 ED-2, pp. 2-4, 1992.[9] J. C. Bean, Engaging Ideas: The Professor's Guide to Integrating Writing, Critical Thinking,and Active Learning in the Classroom. USA: John Wiley & Sons, 2011.[10] R. Felder, R. Brent, and J. Stice, National effective teaching institute: workshop materials:American Society for Engineering
addition, personnel were trained on the equipment and technology. It is anticipatedthat as additional advocates are trained and educated, additional engagement and outreachinitiatives will be deployed to meet the ever increasing anticipated demand for access to additivemanufacturing technology. At present, key is the sustainability of the engagement and outreachinitiatives.To support the initiative, which is articulated in Figure 4(a) and whose goal is to improveaccessibility to additive manufacturing, the initiative was able to negotiated the use of a still-serviceable monochrome ZPRINTER® 310 PLUS 3D printer, originally intended to be sent tosurplus. Figure 4 (b) depicts the 3D printer and associated equipment.Introduced to the market in 2005
-B, member-C, member-D,and member-E who are all rating “Hazard Assessment Protocol” competency for OLS 331course. Member-A believes this competency is low priority for this course, so he/she rates as 1.Member-B feels this competency is very important for this course, so he/she rates 3. Member-Cthinks this competency is medium priority so he/she rates 2. Member-D considers thiscompetency is high priority so he/she rates 3. The last member-E considers this competency tobe included in the course so he/she rates as 3. To obtain the final rating score for “HazardAssessment Protocol” competency for OLS 331 would be to add each rating given by eachmember and to divide that total number with the number of members. First of all, one must addeach
, based on gender of the participant student, were influenced by having anadvisor not influenced by the participants’ gender. The researcher concluded that neithergender, having an advisor, or mentorship had an influence on student enrollment in theSTEM ENGT Program. The researcher also analyzed the results of the data regarding academic activitiesand their correlation to enrolment of students’ in the STEM ENGT Program. Analysisrevealed no significance and there were no statistical correlation between students’academic activities listed may have influenced their choice of STEM ENGT Programenrollment based on gender. However there was a weak negative statistical correlationbetween the two genders groups on question seven (b), Parents, other
) demonstrates that the time spent on six of thetasks (software spin-up through investigate assessment instrument) comprised ~75% of the totaleffort. Furthermore, the instructor performed all but one of these tasks during the developmentphase, while a teaching assistant performed the other (in-class delivery) during the pilot phase. Incontrast, graph b) illustrates in-class delivery was not significant from a cost perspective. Thisfinding reveals that, while the teaching assistant’s time for in-class delivery was significant, theassociated cost was not.Combined Capital and Personnel CostWe conclude our results with Figure 5, which is a projection of combined capital and personnelcosts per the number of students in a semester. This graph assumes one-time
(b) Rotated Image Figure 2: Image Rotation by ThetaWhile this equation is straightforward and easily understood by the students, a problem ariseswhen it is used. Due to rounding of floating point values to integers for pixel locations, some Page 22.47.4destination pixels will be mapped to more than one source pixel. With two or more source pixelsmapping to the same destination pixel, there will also be destination pixels that are never writtento, thus leaving holes in the rotated image. To solve the problems of holes and multiplemappings, the reverse mapping equation is employed. In the